https://github.com/hongtaoh/32vis
Tip revision: 9960413711b0efb1f51ff7cce3548d259be8d8cb authored by Hongtao Hao on 24 May 2025, 20:13:11 UTC
Update README.md
Update README.md
Tip revision: 9960413
Citation_Statistics_and_Visuals.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 38,
"id": "be762e59",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import seaborn as sns\n",
"import numpy as np\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"plt.rcParams[\"figure.figsize\"] = (8,6)\n",
"from scipy.stats import ttest_ind\n",
"pd.set_option('display.max_columns', None)\n",
"import numpy as np\n",
"from collections import Counter\n",
"font = {'family' : 'Arial',\n",
" 'weight' : 'normal',\n",
" 'size' : 20}\n",
"matplotlib.rc('font', **font)\n",
"import string\n",
"from scipy.stats import mannwhitneyu"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "a6be4c67",
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('../data/ht_class/ht_cleaned_paper_df.csv')\n",
"# Replace True/False to Yes/No\n",
"# Snippet: https://stackoverflow.com/a/45196807\n",
"bool_cols = df.columns[df.dtypes == 'bool']\n",
"df[bool_cols] = df[bool_cols].replace({True: 'Yes', False: 'No'})\n",
"df['PaperType'] = df['PaperType'].replace({'J': 'Jor.', 'C': 'Con.'})\n",
"\n",
"# cutoff\n",
"cutoff_year = 2020\n",
"df = df[df['Year'] <= cutoff_year]"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "1040921a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Conference</th>\n",
" <th>Year</th>\n",
" <th>Title</th>\n",
" <th>DOI</th>\n",
" <th>FirstPage</th>\n",
" <th>LastPage</th>\n",
" <th>PaperType</th>\n",
" <th>OpenAlex Year</th>\n",
" <th>OpenAlex Publication Date</th>\n",
" <th>OpenAlex ID</th>\n",
" <th>OpenAlex Venue Name</th>\n",
" <th>OpenAlex First Page</th>\n",
" <th>OpenAlex Last Page</th>\n",
" <th>Number of Pages</th>\n",
" <th>Number of References</th>\n",
" <th>Number of Concepts</th>\n",
" <th>Number of Citations</th>\n",
" <th>Number of Authors</th>\n",
" <th>Cross-type Collaboration</th>\n",
" <th>Cross-country Collaboration</th>\n",
" <th>With US Authors</th>\n",
" <th>Both Cross-type and Cross-country Collaboration</th>\n",
" <th>IEEE Title</th>\n",
" <th>Citation Counts on Google Scholar</th>\n",
" <th>Award</th>\n",
" <th>Award Name</th>\n",
" <th>Award Track</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>InfoVis</td>\n",
" <td>2011</td>\n",
" <td>D³ Data-Driven Documents</td>\n",
" <td>10.1109/TVCG.2011.185</td>\n",
" <td>2301.0</td>\n",
" <td>2309</td>\n",
" <td>Jor.</td>\n",
" <td>2011</td>\n",
" <td>2011-12-01</td>\n",
" <td>W2135415614</td>\n",
" <td>IEEE Transactions on Visualization and Compute...</td>\n",
" <td>2301.0</td>\n",
" <td>2309.0</td>\n",
" <td>9.0</td>\n",
" <td>27</td>\n",
" <td>15</td>\n",
" <td>2239</td>\n",
" <td>3.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>D³ Data-Driven Documents</td>\n",
" <td>3597</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Vis</td>\n",
" <td>1991</td>\n",
" <td>Tree-maps: a space-filling approach to the vis...</td>\n",
" <td>10.1109/VISUAL.1991.175815</td>\n",
" <td>284.0</td>\n",
" <td>291</td>\n",
" <td>Con.</td>\n",
" <td>1991</td>\n",
" <td>1991-10-22</td>\n",
" <td>W2146872957</td>\n",
" <td>ieee visualization</td>\n",
" <td>284.0</td>\n",
" <td>291.0</td>\n",
" <td>8.0</td>\n",
" <td>21</td>\n",
" <td>13</td>\n",
" <td>1116</td>\n",
" <td>2.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Tree-maps: a space-filling approach to the vis...</td>\n",
" <td>2193</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Vis</td>\n",
" <td>1990</td>\n",
" <td>Parallel coordinates: a tool for visualizing m...</td>\n",
" <td>10.1109/VISUAL.1990.146402</td>\n",
" <td>361.0</td>\n",
" <td>378</td>\n",
" <td>Con.</td>\n",
" <td>1990</td>\n",
" <td>1990-10-23</td>\n",
" <td>W2034694694</td>\n",
" <td>ieee visualization</td>\n",
" <td>361.0</td>\n",
" <td>378.0</td>\n",
" <td>18.0</td>\n",
" <td>20</td>\n",
" <td>16</td>\n",
" <td>990</td>\n",
" <td>2.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Parallel coordinates: a tool for visualizing m...</td>\n",
" <td>1704</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>InfoVis</td>\n",
" <td>2006</td>\n",
" <td>Hierarchical Edge Bundles: Visualization of Ad...</td>\n",
" <td>10.1109/TVCG.2006.147</td>\n",
" <td>741.0</td>\n",
" <td>748</td>\n",
" <td>Jor.</td>\n",
" <td>2006</td>\n",
" <td>2006-09-01</td>\n",
" <td>W2145640629</td>\n",
" <td>IEEE Transactions on Visualization and Compute...</td>\n",
" <td>741.0</td>\n",
" <td>748.0</td>\n",
" <td>8.0</td>\n",
" <td>32</td>\n",
" <td>11</td>\n",
" <td>807</td>\n",
" <td>1.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Hierarchical Edge Bundles: Visualization of Ad...</td>\n",
" <td>1366</td>\n",
" <td>Yes</td>\n",
" <td>BP</td>\n",
" <td>InfoVis</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Vis</td>\n",
" <td>1997</td>\n",
" <td>ROAMing terrain: Real-time Optimally Adapting ...</td>\n",
" <td>10.1109/VISUAL.1997.663860</td>\n",
" <td>81.0</td>\n",
" <td>88</td>\n",
" <td>Con.</td>\n",
" <td>1997</td>\n",
" <td>1997-10-01</td>\n",
" <td>W2532506824</td>\n",
" <td>ieee visualization</td>\n",
" <td>81.0</td>\n",
" <td>88.0</td>\n",
" <td>8.0</td>\n",
" <td>20</td>\n",
" <td>12</td>\n",
" <td>585</td>\n",
" <td>6.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>ROAMing terrain: Real-time Optimally Adapting ...</td>\n",
" <td>1408</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Conference Year Title \\\n",
"0 InfoVis 2011 D³ Data-Driven Documents \n",
"1 Vis 1991 Tree-maps: a space-filling approach to the vis... \n",
"2 Vis 1990 Parallel coordinates: a tool for visualizing m... \n",
"3 InfoVis 2006 Hierarchical Edge Bundles: Visualization of Ad... \n",
"4 Vis 1997 ROAMing terrain: Real-time Optimally Adapting ... \n",
"\n",
" DOI FirstPage LastPage PaperType OpenAlex Year \\\n",
"0 10.1109/TVCG.2011.185 2301.0 2309 Jor. 2011 \n",
"1 10.1109/VISUAL.1991.175815 284.0 291 Con. 1991 \n",
"2 10.1109/VISUAL.1990.146402 361.0 378 Con. 1990 \n",
"3 10.1109/TVCG.2006.147 741.0 748 Jor. 2006 \n",
"4 10.1109/VISUAL.1997.663860 81.0 88 Con. 1997 \n",
"\n",
" OpenAlex Publication Date OpenAlex ID \\\n",
"0 2011-12-01 W2135415614 \n",
"1 1991-10-22 W2146872957 \n",
"2 1990-10-23 W2034694694 \n",
"3 2006-09-01 W2145640629 \n",
"4 1997-10-01 W2532506824 \n",
"\n",
" OpenAlex Venue Name OpenAlex First Page \\\n",
"0 IEEE Transactions on Visualization and Compute... 2301.0 \n",
"1 ieee visualization 284.0 \n",
"2 ieee visualization 361.0 \n",
"3 IEEE Transactions on Visualization and Compute... 741.0 \n",
"4 ieee visualization 81.0 \n",
"\n",
" OpenAlex Last Page Number of Pages Number of References \\\n",
"0 2309.0 9.0 27 \n",
"1 291.0 8.0 21 \n",
"2 378.0 18.0 20 \n",
"3 748.0 8.0 32 \n",
"4 88.0 8.0 20 \n",
"\n",
" Number of Concepts Number of Citations Number of Authors \\\n",
"0 15 2239 3.0 \n",
"1 13 1116 2.0 \n",
"2 16 990 2.0 \n",
"3 11 807 1.0 \n",
"4 12 585 6.0 \n",
"\n",
" Cross-type Collaboration Cross-country Collaboration With US Authors \\\n",
"0 No No Yes \n",
"1 No No Yes \n",
"2 No No Yes \n",
"3 No No No \n",
"4 No No Yes \n",
"\n",
" Both Cross-type and Cross-country Collaboration \\\n",
"0 No \n",
"1 No \n",
"2 No \n",
"3 No \n",
"4 No \n",
"\n",
" IEEE Title \\\n",
"0 D³ Data-Driven Documents \n",
"1 Tree-maps: a space-filling approach to the vis... \n",
"2 Parallel coordinates: a tool for visualizing m... \n",
"3 Hierarchical Edge Bundles: Visualization of Ad... \n",
"4 ROAMing terrain: Real-time Optimally Adapting ... \n",
"\n",
" Citation Counts on Google Scholar Award Award Name Award Track \n",
"0 3597 No NaN NaN \n",
"1 2193 No NaN NaN \n",
"2 1704 No NaN NaN \n",
"3 1366 Yes BP InfoVis \n",
"4 1408 No NaN NaN "
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "7eb13a98",
"metadata": {},
"outputs": [],
"source": [
"citenum = 'Number of Citations'\n",
"gcitenum = 'Citation Counts on Google Scholar'"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "5bf695c8",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Conference</th>\n",
" <th>Year</th>\n",
" <th>Title</th>\n",
" <th>DOI</th>\n",
" <th>FirstPage</th>\n",
" <th>LastPage</th>\n",
" <th>PaperType</th>\n",
" <th>OpenAlex Year</th>\n",
" <th>OpenAlex Publication Date</th>\n",
" <th>OpenAlex ID</th>\n",
" <th>OpenAlex Venue Name</th>\n",
" <th>OpenAlex First Page</th>\n",
" <th>OpenAlex Last Page</th>\n",
" <th>Number of Pages</th>\n",
" <th>Number of References</th>\n",
" <th>Number of Concepts</th>\n",
" <th>Number of Citations</th>\n",
" <th>Number of Authors</th>\n",
" <th>Cross-type Collaboration</th>\n",
" <th>Cross-country Collaboration</th>\n",
" <th>With US Authors</th>\n",
" <th>Both Cross-type and Cross-country Collaboration</th>\n",
" <th>IEEE Title</th>\n",
" <th>Citation Counts on Google Scholar</th>\n",
" <th>Award</th>\n",
" <th>Award Name</th>\n",
" <th>Award Track</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>InfoVis</td>\n",
" <td>2011</td>\n",
" <td>D³ Data-Driven Documents</td>\n",
" <td>10.1109/TVCG.2011.185</td>\n",
" <td>2301.0</td>\n",
" <td>2309</td>\n",
" <td>Jor.</td>\n",
" <td>2011</td>\n",
" <td>2011-12-01</td>\n",
" <td>W2135415614</td>\n",
" <td>IEEE Transactions on Visualization and Compute...</td>\n",
" <td>2301.0</td>\n",
" <td>2309.0</td>\n",
" <td>9.0</td>\n",
" <td>27</td>\n",
" <td>15</td>\n",
" <td>2239</td>\n",
" <td>3.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>D³ Data-Driven Documents</td>\n",
" <td>3597</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Vis</td>\n",
" <td>1991</td>\n",
" <td>Tree-maps: a space-filling approach to the vis...</td>\n",
" <td>10.1109/VISUAL.1991.175815</td>\n",
" <td>284.0</td>\n",
" <td>291</td>\n",
" <td>Con.</td>\n",
" <td>1991</td>\n",
" <td>1991-10-22</td>\n",
" <td>W2146872957</td>\n",
" <td>ieee visualization</td>\n",
" <td>284.0</td>\n",
" <td>291.0</td>\n",
" <td>8.0</td>\n",
" <td>21</td>\n",
" <td>13</td>\n",
" <td>1116</td>\n",
" <td>2.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Tree-maps: a space-filling approach to the vis...</td>\n",
" <td>2193</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Vis</td>\n",
" <td>1990</td>\n",
" <td>Parallel coordinates: a tool for visualizing m...</td>\n",
" <td>10.1109/VISUAL.1990.146402</td>\n",
" <td>361.0</td>\n",
" <td>378</td>\n",
" <td>Con.</td>\n",
" <td>1990</td>\n",
" <td>1990-10-23</td>\n",
" <td>W2034694694</td>\n",
" <td>ieee visualization</td>\n",
" <td>361.0</td>\n",
" <td>378.0</td>\n",
" <td>18.0</td>\n",
" <td>20</td>\n",
" <td>16</td>\n",
" <td>990</td>\n",
" <td>2.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Parallel coordinates: a tool for visualizing m...</td>\n",
" <td>1704</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Vis</td>\n",
" <td>1997</td>\n",
" <td>ROAMing terrain: Real-time Optimally Adapting ...</td>\n",
" <td>10.1109/VISUAL.1997.663860</td>\n",
" <td>81.0</td>\n",
" <td>88</td>\n",
" <td>Con.</td>\n",
" <td>1997</td>\n",
" <td>1997-10-01</td>\n",
" <td>W2532506824</td>\n",
" <td>ieee visualization</td>\n",
" <td>81.0</td>\n",
" <td>88.0</td>\n",
" <td>8.0</td>\n",
" <td>20</td>\n",
" <td>12</td>\n",
" <td>585</td>\n",
" <td>6.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>ROAMing terrain: Real-time Optimally Adapting ...</td>\n",
" <td>1408</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Vis</td>\n",
" <td>2003</td>\n",
" <td>Acceleration techniques for GPU-based volume r...</td>\n",
" <td>10.1109/VISUAL.2003.1250384</td>\n",
" <td>287.0</td>\n",
" <td>292</td>\n",
" <td>Con.</td>\n",
" <td>2003</td>\n",
" <td>2003-10-22</td>\n",
" <td>W2113001609</td>\n",
" <td>ieee visualization</td>\n",
" <td>38.0</td>\n",
" <td>38.0</td>\n",
" <td>1.0</td>\n",
" <td>17</td>\n",
" <td>16</td>\n",
" <td>607</td>\n",
" <td>2.0</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Acceleration techniques for GPU-based volume r...</td>\n",
" <td>1289</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Conference Year Title \\\n",
"0 InfoVis 2011 D³ Data-Driven Documents \n",
"1 Vis 1991 Tree-maps: a space-filling approach to the vis... \n",
"2 Vis 1990 Parallel coordinates: a tool for visualizing m... \n",
"4 Vis 1997 ROAMing terrain: Real-time Optimally Adapting ... \n",
"5 Vis 2003 Acceleration techniques for GPU-based volume r... \n",
"\n",
" DOI FirstPage LastPage PaperType OpenAlex Year \\\n",
"0 10.1109/TVCG.2011.185 2301.0 2309 Jor. 2011 \n",
"1 10.1109/VISUAL.1991.175815 284.0 291 Con. 1991 \n",
"2 10.1109/VISUAL.1990.146402 361.0 378 Con. 1990 \n",
"4 10.1109/VISUAL.1997.663860 81.0 88 Con. 1997 \n",
"5 10.1109/VISUAL.2003.1250384 287.0 292 Con. 2003 \n",
"\n",
" OpenAlex Publication Date OpenAlex ID \\\n",
"0 2011-12-01 W2135415614 \n",
"1 1991-10-22 W2146872957 \n",
"2 1990-10-23 W2034694694 \n",
"4 1997-10-01 W2532506824 \n",
"5 2003-10-22 W2113001609 \n",
"\n",
" OpenAlex Venue Name OpenAlex First Page \\\n",
"0 IEEE Transactions on Visualization and Compute... 2301.0 \n",
"1 ieee visualization 284.0 \n",
"2 ieee visualization 361.0 \n",
"4 ieee visualization 81.0 \n",
"5 ieee visualization 38.0 \n",
"\n",
" OpenAlex Last Page Number of Pages Number of References \\\n",
"0 2309.0 9.0 27 \n",
"1 291.0 8.0 21 \n",
"2 378.0 18.0 20 \n",
"4 88.0 8.0 20 \n",
"5 38.0 1.0 17 \n",
"\n",
" Number of Concepts Number of Citations Number of Authors \\\n",
"0 15 2239 3.0 \n",
"1 13 1116 2.0 \n",
"2 16 990 2.0 \n",
"4 12 585 6.0 \n",
"5 16 607 2.0 \n",
"\n",
" Cross-type Collaboration Cross-country Collaboration With US Authors \\\n",
"0 No No Yes \n",
"1 No No Yes \n",
"2 No No Yes \n",
"4 No No Yes \n",
"5 No No No \n",
"\n",
" Both Cross-type and Cross-country Collaboration \\\n",
"0 No \n",
"1 No \n",
"2 No \n",
"4 No \n",
"5 No \n",
"\n",
" IEEE Title \\\n",
"0 D³ Data-Driven Documents \n",
"1 Tree-maps: a space-filling approach to the vis... \n",
"2 Parallel coordinates: a tool for visualizing m... \n",
"4 ROAMing terrain: Real-time Optimally Adapting ... \n",
"5 Acceleration techniques for GPU-based volume r... \n",
"\n",
" Citation Counts on Google Scholar Award Award Name Award Track \n",
"0 3597 No NaN NaN \n",
"1 2193 No NaN NaN \n",
"2 1704 No NaN NaN \n",
"4 1408 No NaN NaN \n",
"5 1289 No NaN NaN "
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[df['Award'].isin(['No', 'Con.'])].head()"
]
},
{
"cell_type": "markdown",
"id": "a9b7719c",
"metadata": {},
"source": [
"## Plot boxplots with stripplots"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "45e76055",
"metadata": {},
"outputs": [],
"source": [
"vars = ['Cross-type Collaboration', 'Cross-country Collaboration',\n",
" 'With US Authors', 'Award', 'PaperType']\n",
"short_varname_dic = {\n",
" 'Cross-type Collaboration':'Cross-type',\n",
" 'Cross-country Collaboration':'Cross-country',\n",
" 'With US Authors':'W/ US Authors'\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "8c120703",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'Cross-type Collaboration' in short_varname_dic.keys()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "1f8de5a3",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 648x720 with 5 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"f, axs = plt.subplots(5,1,\n",
" figsize=(9,10),\n",
" sharex=True,\n",
" sharey=False,\n",
" gridspec_kw=dict(height_ratios=[1,1,1,1,1]))\n",
"g0 = sns.boxplot(x=df[citenum], y=df['Award'].astype(str), palette=\"Set2\", ax=axs[0])\n",
"g0 = sns.stripplot(x=df[citenum], y=df['Award'].astype(str), \n",
" size=2, color=\"orange\", linewidth=0, ax=axs[0], alpha=0.2)\n",
"g0.set_xlabel(\"\")\n",
"g0.set_ylabel(\"Awards\", fontsize=16)\n",
"###########\n",
"g1 = sns.boxplot(x=df[citenum], \n",
" y=df['Cross-type Collaboration'].astype(str), palette=\"Paired\", ax=axs[1])\n",
"g1 = sns.stripplot(x=df[citenum], y=df['Cross-type Collaboration'].astype(str), \n",
" size=2, color=\"orange\", linewidth=0, ax=axs[1], alpha=0.2)\n",
"g1.set_xlabel(\"\")\n",
"g1.set_ylabel(\"Cross-Type\", fontsize=16)\n",
"#############\n",
"g2 = sns.boxplot(x=df[citenum], \n",
" y=df['Cross-country Collaboration'].astype(str), palette=\"vlag\", ax=axs[2])\n",
"g2 = sns.stripplot(x=df[citenum], y=df['Cross-country Collaboration'].astype(str),\n",
" size=2, color=\"orange\", linewidth=0, ax=axs[2], alpha=.2)\n",
"g2.set_xlabel(\"\")\n",
"g2.set_ylabel(\"Cross-Country\", fontsize=16)\n",
"################\n",
"g3 = sns.boxplot(x=df[citenum], \n",
" y=df['With US Authors'].astype(str), \n",
" palette=\"Paired\", \n",
" ax=axs[3],\n",
" order = ['No', 'Yes'], \n",
" )\n",
"g3 = sns.stripplot(x=df[citenum], y=df['With US Authors'].astype(str), \n",
" order = ['No', 'Yes'], \n",
" size=2, color=\"orange\", linewidth=0, ax=axs[3], alpha=0.2)\n",
"g3.set_xlabel(\"\")\n",
"g3.set_ylabel(\"US Authors\", fontsize=16)\n",
"##################\n",
"g4 = sns.boxplot(x=citenum, y='PaperType', data=df, palette=\"Set2\", ax=axs[4])\n",
"g4 = sns.stripplot(x=citenum, y='PaperType', data=df,\n",
" size=2, color=\"orange\", linewidth=0, ax=axs[4], alpha=0.2)\n",
"g4.set_xlabel('Number of citations')\n",
"g4.set_xscale(\"log\")\n",
"g4.set_ylabel(\"Paper Type\", fontsize=16)\n",
"f.text(-0.1, 1.05, 'c', transform=g0.transAxes, \n",
" size=25, weight='bold')\n",
"# f.tight_layout()\n",
"f.savefig('../results/figures/boxplots.pdf', dpi=150)\n",
"f.savefig('../results/figures/boxplots.png', dpi=150)"
]
},
{
"cell_type": "markdown",
"id": "9352869e",
"metadata": {},
"source": [
"## Citation distributions"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "989bcc21",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ax = sns.kdeplot(df[citenum], label='OpenAlex')\n",
"g = sns.kdeplot(df[gcitenum], ax=ax, label='Google Scholar')"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "3426c74e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Author percentile by citations in descending order')"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAgYAAAGFCAYAAACG8ztLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAAsTAAALEwEAmpwYAABxmElEQVR4nO3dd3gU5fbA8e9JTyAJELr03ruIKEXsiopy7YBgvVf0Ivaroth7v/izF8TutTdsoKgIAlIEpErvLY30nN8fMxs3YTfZJZtsQs7nefaZ7Mw7M2fezM6enXnnHVFVjDHGGGMAIsIdgDHGGGOqDksMjDHGGFPEEgNjjDHGFLHEwBhjjDFFLDEwxhhjTBFLDIwxxhhTJCrcAVQF9evX11atWoVseZmZmdSqVStky6uJrA5Dw+qx/KwOy8/qsPxCXYfz58/fpaoNfE2zxABo1aoV8+bNC9nyZs6cydChQ0O2vJrI6jA0rB7Lz+qw/KwOyy/UdSgi6/1Ns0sJxhhjjCliiYExxhhjilhiYIwxxpgilhgYY4wxpoglBsYYY4wpYomBMcYYY4pUqcRARJqKSKqIXBPEPPVE5L8isk5E9ovIfBE5twLDNMYYYw5ZVaYfAxGpDXwAJAUxTy3gG6A38C6wARgJvC0iDVT1vxURqzHGGHOoqhJnDESkJfADcESQs04A+gBXq+p5qnoj0AtYCjwoIg1DGqgxxhhziAt7YuBeNlgC9AS+D3L2K4HtwLOeEaqaDtwLJAAXhCZKY4wxpmYIe2IAXAOsBwYDrwc6k4i0BQ4DZqlqQYnJM9zhkFAEaIwxxtQUVaGNwRXAt6paICIdgpivrTtcU3KCqm4TkWwgmOUZY4wx5aKq5OQXkp1XQHZeIVl5BeTmF1JQqBTk51GYl4XmZVOYl43mZ6N5OUhhHmhh0RAtQLQQ0QKksABQUtdvAIZWyjaEPTFQ1ekHOWuKO9znZ3oakOxvZhG5HLgcoFGjRsycOfMgwzhQRkZGSJdXE1kdhobVY/lZHZZfVa1DVSWnAPbnK/vzPENlfz7szy2kIG8/kbmZROZnEFOwn9iCDKIL9hNdmE1MYRbRhdnEaRaxmkNcYRZxZJNANrXIIoFs4iSPZHKJJY9Y8oiSwoOOtZUmMHNm3xBuvX9hTwzKIdod5viZnoPTzsAnVX0eeB6gX79+GsqnVtmTxMrP6jA0rB7Lz+qw/CqrDrPzCtiZnsOO9Bx2ZeSwNzOXPftz2ZeZQ07aLgozdsL+3URk7SYmZw8JefuoSyopkkYr0kmWTJLYT5LsJ4lMIkVLXV8hEeRExJMTmUBuZAL5kQnkR9WiILohhVEJ7I9OYH90LETFQaQz1KhYiHLHRcUhUTFoRDRIJBoRCRGRIJEgEahnHBGsWLWK0ytpP6zOiUGWO4zxMz0WyKykWIwxxlQAVSU1K49tadlsS81mR1oOOzNy2Jmew570DPJStxGRvo2o/TtIyt9FI9lLQ/bRSPbSU/bRQPZRl3TfX/JRkBNVm9yYeuTH1aMwrjUR8clEJtQhp1Y9YmrXJSqhLsQlQ3wdiE2CuCSISYSYWkRExxMvQnwl1MPWjMprElidE4O97tDf5YIknDsWjDHGVFGZOfls3pfFpr372bQ3i017s9iams3OfZkUpG4mJmMzDQp30lR20Ux20VR201320ihiL/VI/3tBAkRDoUSSG1efwtqNkcQuRCc3JjKxASTUh1r1ISHFHTp/x0bFEBu2ra+aqnNisNIdti45QUSaAHHAikqNyBhjTDGZOflsTi/k+z+3F33xb9q7n927d1O4byO1srcWfeE3lV2cGLGbZhG7aaB7iKCw2LdUXmw9NOkwIut0JTK5CdRuDImNIbEJJDaCxCZEJKQQFxEZvg0+BFTbxEBVN4jIBuBoEYlQVe9WHUPd4ezKj8wYY2qWgkJl0979rNmZwZodmc5wZwa7dmwjKWsjrWQbrX6dRsuI7ZwcsZ02EdtIVvfXvnsxWCWKwqSmRNRpgdTpA8nNILm5M6zTApIOIzrGb7MxE0LVNjFwvQ7cClwFPAUgIonuuCyC6BfBGGNM6fbn5rN2p/vFvyODNTsz2bRjF+xeQ8vCTbSN2EJL2caRkTtoJduorRl4ztMrQmHiYUSktEFSjoK6rZwv/jotILkZUrsRkfZLv0qoNomBiEwGUNXJXqMfAs4BnhSRITh9GowE2uB0k7yzksM0xphqL3V/Hsu2prHakwDsSGfvzi3USltL24gttJPN9I3YwgWRW2msO4u+SVQiKExqTmRKG6g3BFLaQr02zF29i/4nnE1kdFx4N8wEpNokBsAd7nCyZ4SqponIIOA+4DTgJOBP4HxVfbvSIzTGmGqksFDZuHc/y7aksXxrGsu2prFuyw5qp62mU8QGOspGToncSKeIjSRpetGv/8KoeKjfgYgGQ6F+R6jfHup3QFLaEhl1YFO+/VtngiUF1UaVSgxU9VXgVT/TxM/47cAlFReVMcZUf1m5BazYnu4kAFvSWLFlL5nbVtEifx2dIjbQVTZyXtQmmuq2vxOA6FpIoy5Io5HQoBPU7+AkBEmHQURV6FHfVIQqlRgYY4wpv8ycfP7YnMriTaks3pzKms07SNizjK7yF11lHedFbqS9bCImIhdinEsAWq8tEY0GQKOuzqthFyLqtLQEoAayxMAYY6qx3PxClm9NY/GmfSzalMryjTuI2bWMbrKW7vIXE6LX0UY3EhHj3LhVEJ9CRONuSKOT3SSgC9KgExJdGd30mOrAEgNjjKlG9u3PZf76vcxbv5dFf20nZ/MSOukaustaLotaR1s2EhXjPHC2ML4+EYf1hqbnQNPe0LQ3kYlNQHxemTUGsMTAGGOqLFXlr12ZzFu/l/nr9rLmrzWk7F1En4iVHBeximsj1hIdlQ9AQVxdIg7rgzQd6SQBTXoRkdzMkgATNEsMjDGmisjOK+CPzanMW7+XBet2kbZ+Me1yltInYhVXRa6iOdshBgojYtCmvYlscSUc1tc5E1CnhSUBJiQsMTDGmDDJyS9g4YZ9/LxmN/NXbyJ68zx6s5w+spIxkatJIBuiIT+hIZEtB0DzI6D5EUQ06eE8oc+YCmCJgTHGVJKCQuWPzan8smY3v63aTMGGOfTRpQyKWMbVEWuIjspHiaCgYVeiWo52E4H+RNnZAFOJLDEwxpgKoqqs2pHBz6t3MXfVVrLXzaFn/mIGRCznkohVxES6iUCTnkS1GQ+tBiEtBhAVmxju0E0NZomBMcaE0Ibd+/llzS5mr95O+ppf6Za9kAERy7ggcjWx5KJREeQ36k5023+5icCRRMUlhTtsY4pYYmCMMeWQnVfAnL/2MOPPHSxbvpQ2aXMYHLGYuyOXkkQmGi3kNehKTNvLoLWTCETH1wl32Mb4ZYmBMcYEaeOe/cxcsYNflm8k/69ZHKmLGB25mLayxWksWKsxke3PhHbHIm2GEpNQL9whGxMwSwyMMaYMufmF/LZuDzP/3M5fy+fTat+vDI5YzDmRfxIbmUdBZCy0HAjtxkO7Y4lq0MkaC5pqyxIDY4zxYWd6Dt8u385H89N4+/sHObrwNy6O/J0msgeiIbduB6I7XgbtjiWy5VFgXQqbQ4QlBsYY49qwez/Tl25jzuJlpGydybERC3g18g/iI3LIj0mANsdAxxOh3bHEJDcLd7jGVAhLDIwxNZaqsnxrOtP/2MrKJb/Sds8sjotcwGURayAa8mo3ZXvSMJodcylRrY6G6Lhwh2xMhbPEwBhToxQUKgs27GX6ki1s/uNH+mTO4uzIuTSTXWi0kNuoN3S9DTqcRHSjbqz+4QeatR8a7rCNqTSWGBhjDnmFbjLw2cKNbFkyk4E5P3FZ5G80kr0UxERT0OoY6HYa0uEkYms3DHe4xoSVJQbGmEOSqrJ0Sxqf/b6BrYu+pn/Wz1wVOY/6kkpBTCyF7Y6DbmcS2eFEIq2DIWOKWGJgjDmkrNqezmcLN7D59284PGMGV0TOo65kkB8bj3Y4EbqNILLd8UTG1g53qMZUSZYYGGOqve1p2Xy4YBN/zvuenvu+ZXTkbOpLGnlxtdAOp0D3EUS1O9ZuKTQmAJYYGGOqpey8Ar5Ztp1ff51F042fc1rEL/wzYicFMTHktT0Bep9LdPsT7E4CY4JkiYExptpQVRZu3MfXsxcQu/x9TiycxWkRGymMiiC7+SDoex6RnU4lMi453KEaU21ZYmCMqfK2pWbz8bzV7PztAwZnfs0NEX8QIUpawz4U9ruaiG5nkmB3ExgTEpYYGGOqpIJC5YcV25n949e03vQR50fMJkn2k1m7CXm9ryW23yiS6rUJd5jGHHIsMTDGVCnb07L57KcFZC94ixNyv2NYxGbyomPJaT8cjriIWq0GQUREuMM05pBliYExJuwKC5WfVm7ljxnv0nnrh4yVRUSKsqdBH/IH3Eh097OItr4GjKkUlhgYY8Jmd0YOn8+ag85/jZPyvmWw7CM9tgHpPa6mzpEXUa9+u3CHaEyNY4mBMabSLdu0m9+mv0nr9e8xShaDCDsaDyJvyOUkdjwJIu3QZEy42KfPGFMpCgqVn+b/zp4fnuOo9K+4SPaRGtuAfT2vod7Rl9C4TvNwh2iMwRIDY0wFS8vKZdbXH1J78UscnT8XRNhY/2gyh1xBclc7O2BMVWOfSGNMhVi3dSd/fPEcHTe8xamyiTRJYl2nS2l5wlW0SmkV7vCMMX5YYmCMCRlVZcGiBez+fgoDUr9kuOxnU1x7Nh3xCM0GjSLJnlVgTJVniYExptwKCgqZ++PnyOz/0j9nDoUSweoGx5J/3L9p1vFoEAl3iMaYAFliYIw5aNk5Ocz5cioNFj/HkYWrSCWRpe0up/2pE+hU77Bwh2eMOQiWGBhjgrZ37x4WfzqFdmunMoQdbI5sytLek+l00uV0j60V7vCMMeVgiYExJmA7t6xj5SeP0G3rBwyRTFbGdmPlkXfRftDZHGZ3FxhzSLBPsjGmTNvWLGTL5w/Sbfd0BlDIkqTB1D3uWjr0HBru0IwxIWaJgTHGry1/zmHXF/fRLfUHkohhXv0zaHXqDfRq0yXcoRljKoglBsaYA2xe8gP7pt9P14zZJGo8sxqPoeOIGxnYpFm4QzPGVDBLDIwxDlV2/vEd+766j/aZ80nQRGY2u4KuZ1zHkIaNwh2dMaaSWGJgTE2nyt4/vib9q7tpkbkE1Tp80/xqep81kaH1UsIdnTGmklliYEwNlrbiR/Z9djst0n8nS1P4uNm19D/r3xyfUjfcoRljwsQSA2NqoMy/5rDz4ztotW822VqH9xtfw+EjJ3BGw3rhDs0YE2aWGBhTg+RuWcLWD2+j5c6Z5Ght/lf/CnqceT3/aNYw3KEZY6qIiHAHACAiUSIyUUSWiUiWiKwVkUkiEh3g/D1E5GMR2Ssi2SKyWEQur+i4jakuCneuZtOL5xP1/CDq7pjL+0kXseWiOYy8+iHaW1JgjPFSVc4YTAEuB34CPgGOAu4CegL/KG1GEekJ/AzEAe8C24EzgOdEpK2q3lSBcRtTpUXn7mPbW1dRf8Wb1NUo3o0/mxan3sg/urcPd2jGmCoq7ImBiAzESQreB85RVRURAV4FxojIcFX9rJRF3APUAs5U1Y/cZU4C5gPXi8izqvpXRW6DMVVO7n52ffs4vec+TYzm8HHkCcQd9x/OGdCTiAh70qExxr+wJwbAeHd4p6oqgJsc/AcYDVwKlJYYHA7s9SQF7vwZIvIWcAfQH7DEwNQMhQWkz3mNwu/upX7+Lr4pPJxdR/6HM48bSlx0ZLijM8ZUA1UhMRgM7FLVP7xHquoWEVkJDClj/t1ARxGpq6p7vcZ7nvm6M3ShGlN15a34mvRPbqZe5hoWFLZnUed7aJDSmPNPOCbcoRljqpGwNj4UkVigGbDGT5F1QB0RaVDKYp4FIoE3RaSdiCSKyMXAWGAB8EPoIjam6tGdK9j13GlEv3U2qekZTGlwO8lXzWDc+edTO8YuGxhjghPuMwaem6b3+Zme6g6T8fPLX1WfFpF84Elgldekb4DzVLUgBHEaU/Vk7WXfl3dTe/GrxGgsz8RdTJczrmN8F3uegTHm4Il7WT88KxdpAawHPlHVM3xMn4rTzqB7yUsNXmUG4NyNUA/4H06ScTzQCfg/4Cr1sZHu7YyXAzRq1Kjv22+/HYpNAiAjI4PatWuHbHk1kdWhf1JYQL1N02n115skFGbwng5jdcsLGNA6hagSDQutHsvP6rD8rA7LL9R1eMwxx8xX1X6+poX7jEGWO4zxMz3WHWb6migiScDnOJdE+qjqSnd8DPAGcCWwFHim5Lyq+jzwPEC/fv106NChB7cFPsycOZNQLq8msjr0TdfMJO2jm0hOX8Xswi7M63QDF5x+KufVjvVZ3uqx/KwOy8/qsPwqsw7D3cFRKlCIc6nAl2Svcr6cjnOm4ClPUgCgqrn8fbfD2PKHaUyY7dtAxmvnIq+fQWrqPu5PupXEy7/k6gvOIsVPUmCMMQcjrGcMVDVXRNYDrf0UaY1zx8IeP9Obu8PlPpa9Q0R2AS3KH6kxYZKfS+5PTyE/PkREATwl59PwpOu4aUA764/AGFMhwn0pAZzeDkeLSAfvX/0i0hRoT+l9GGx3hx1KThCRukAKsDiEsRpTaXTtD2R+eA2109cyvaAf8zrdyD/PGGpnCIwxFSrclxIAprrD+0QkAsDt+fB+QHDbAfjxGbAfuFpE2nhGikgk8Jg7/1sVEbQxFSZ9G5lvjkWmns7u1Awm1bqDlEve49YLT7SkwBhT4cJ+xkBVvxWRd4BzgdkiMgMYCAzC6Sb5c09ZEZnszuMZ7hCRq4AXgYUi8j7OXQnDcJ6z8APwRCVtijHlU5BP4dwXyP/2HqLyc5jCP0gYdh13DOpEVGRVyOGNMTVB2BMD12icuwfGAtcAG4DbgYdK3Gp4hzuc7Bmhqq+IyDrgZuAsIB5YC0wCHlbVnIoN3ZgQ2LaE7P+NJ27nImYX9ODLFtcx4ZwTaZIcH+7IjDE1TJVIDFQ1D7jbfZVWzmdrK1WdAcyogNCMqVh5WRTMeAD55WkytDa3R0xk4JmXcn/vw3CuqBljTOWqEomBMTXSXz+S8+HVxKat4538oczrOJGbzjyS+taOwBgTRpYYGFPZsvaS/9VtRC2axjZtxANRkxlx9vk83LVxuCMzxhhLDIypVMs/I++Ta4jI2s3/5Z/G+u7/5oHTepOcEB3uyIwxBrDEwJjKkbWXwi9uJGLJu6wqbMkDMTdxyQUj+FeH0h4caowxlc8SA2Mq2qpvyP/oKsjcyVP5Z7Guy5U8PaKXnSUwxlRJlhgYU1Gy09DptyK/T+UvbcZtci8Xnn0G1/RsGu7IjDHGL0sMjKkIa3+g4MMrkfQtPJt/GnNbXcGTZx9O4+S4cEdmjDGlssTAmFDKzYRv7oDfXmATTbgxfzKnnHIGLw1oaQ89MsZUC5YYGBMqmxdQ+L9LidizhpfzT+KT+pfyyAUDaNcwMdyRGWNMwIJODEQkUVXTvd6fiPNcg3XAG6qaFbrwjKkGCgvhlyfR7+9ht9bh6tzb6DTgFN4+uRNx0ZHhjs4YY4IScGIgItHA/wFjRCRFVdPdBxg9ifMUQwUmiMhgVd1bMeEaU8WkbUE/vAL560em6xHcH3EFk0YdzXFdGoU7MmOMOSjBnDG4DrgYWAjEi0g2zsOMMoDxQGv3/a3A9aEM0pgqafmnFH58NXk5WUzKu4yNLUbyznm9rYGhMaZaCyYxuAD4HeivqgXuJYR6wH9VdRqAiPQFzsQSA3Moy82E6bfA/FdZJW0Yn3MbZx4/lPuHtCXSGhgaY6q5YBKDtsDTqlrgvj8Z5/LBZ15llgEnhig2Y6qebUvQ9y9Gdq3kuYLTeKvWaB4d25++LeuGOzJjjAmJYBKDDMD74fAnAznALK9xhwE7QxCXMVWLKix4Df3iRlKpzfjc/5DU5Xg+HtmD5HjrwdAYc+gIJjH4AzhLRB4FBgPtgc88dyGISH/gbGB6yKM0JpxyMuCzibDkXeZF9GR89r+44pQBXHxUK0Ts0oEx5tASTGLwIPAJ8Jf7vhB4GEBE7gJuwTmDcE8oAzQmrHYsR98dA7tW8WTB2bwXcw7/d0U/+rasF+7IjDGmQgScGKjq1yJyHHANzu2JL6iq5zLCLpwzBXeo6vyQR2lMOCx8E/3sWtI1nitybyGq7RA+ObcXKbVjwx2ZMcZUmKA6OFLVn4CffIx/CngqVEEZE1Z5WfDF9fD7NBZHdefS/f/iwmMP5+ph7e2uA2PMIe+gukQWkRggFufMwQFUNa08QRkTNvs2wjujYOtCXmAkU/LP5omxfRnasWG4IzPGmEoRTM+HAvwHuBxoXkpRDWa5xlQZf81C3xtLXm424/Ou56+UwXw4ph+t69cKd2TGGFNpgvkC/w9Ow8I8YDGQipMEGFO9qcKcZ9Hpt7Ij+jDOz7yZNp168+G5PUmMs1sRjTE1SzCJwcXAVmCgqq6voHiMqVx5WfDpNbD4bebEDODStEu5+NieXHNse3tMsjGmRgomMTgMmGJJgTlk7NsI71wIWxfxXMS5PJU9gkdH9eakbk3CHZkxxoRNMInBRqBOBcVhTOVa/wu8M4q83ByuLriBJXED+d/l/ejUOCnckRljTFhFBFH2eeAcEWldUcEYUykWvoW+djp7tRYnZk5mR5Nj+PiqoywpMMYYgjtjMB9YAcwXkfeBVTg9HR7A7dfAmKqlsBC+vxt+eoxVCX34x55/ckyvDjw4sgdx0ZHhjs4YY6qEYBKD77z+vrSUcop1dmSqmtz98OHlsPxTvo4/mSv3nM+E47tw1bB29rwDY4zxEkxiMK7CojCmIqVthbfOQ7cu4unocUxJP4EnLujF8B5Nwx2ZMcZUOcE8K+G1igzEmAqx40+YNpL8/Xu5Rm9gDkfw7hX96Nm8TrgjM8aYKinoHgrdHhAHAT2BBGA3sFRVZ4c4NmPKZ/0v8NZ5ZGk052bdSm6D7nw89nCa1okPd2TGGFNlBZUYiMjhwOtAe88od6gisgoYparzQhifMQdn2cfo/y5jX0xjTku9llZtO/N/o/pYT4bGGFOGYJ6V0B74BkgE/ofzlMUtQF1gCHAOMF1E+qnqXxUQqzGBmfM8+uWNrE/oyog9VzOsdyceGNmDmKhg7s41xpiaKZgzBncAtYBTVfWrEtNeEJFpwGfALcBlIYrPmMAVFsJ3d8LPT/B7wlGcv+cyLj2mM9ef0NHuPDDGmAAFkxgcB3zqIykAQFW/EpFPgBNDEpkxwcjPhU+ugsXv8EXcKfx77wVMHtGDUQNahjsyY4ypVoJJDOoCa8sosxY4+eDDMeYg5O6Hd0fD6m95PvpCHssczrOj+3Jcl0bhjswYY6qdYJ+VcGQZZQbitDswpnJk7YM3z0U3zeWeyCv5X8ExvHnZ4fRpUTfckRljTLUUTGusD4ABIjK55AQRiRaR+4AjcBomGlPxMnbAq8Mp3Dyf65nIpxHH8s7lR1pSYIwx5RDMGYN7gNOBSSIyBueuhFSgKdAf57HMK4B7Qx2kMQfYtwGmnkFB6lauyL+RFbX78d4lR9AypVa4IzPGmGotmJ4P00RkIPAwcB4wymtyNvAKcKOqpoY2RGNK2LkCpo4gLzuDUTn/YU+9Xrx3yRE0To4Ld2TGGFPtBdXBkaruAS4RkX8CHYEkIB34U1XzKiA+Y4rb8jtMG0l2gTBy/y1ENunOO+P6U69WTLgjM8aYQ0LQXSIDuEnAHyGOxZjSrfsJ3jyPzKgkhqddR4OWXXhpbD/rzdAYY0LIb2IgIguAZ1X1ea/3gVBV7RuK4IwpsuZ7eOt80uMP44RdE2neqh2vjjuchJiDym2NMcb4UdpRtRfQuMR7Yyrfqm/h7QtIrdWKY3dOpE2rVpYUGGNMBfF7u6KqRqjqXSXeB/QKNggRiRKRiSKyTESyRGStiEwSkYDOEYtInIjcLiIrRSRbRNaIyOMiUifYWEwVs/JrePt89tVuzTE7r7WkwBhjKljAX+IiMlhEWpRRprOIXHQQcUwBHsN5hPOTwGbgLuCtAOKKBr4E7sTpXOkpnM6YrgG+EhFrlVZdrfgS3rmQfbXbccyOa2nXqqUlBcYYU8GC+XU/AyjrS38szpd8wNxbIC8H3gcGq+rNwGBgKjBSRIaXsYgJwFDgYVUdqqo3qupQN44jcG6tNNVMyq458M5o9iZ2YOiOa2jfqoUlBcYYUwlKa3z4D5wujotGASeLiL9u5WKAc4HMIGMY7w7vVFUFp/WiiPwHGA1civPURn+uAtYBt5YY/whQG8gKMh4Tbss/pevSB9lXtxvHbLuaDq2aWVJgjDGVpLQj7SJgGs4XPoACA9xXaUp+QZdlMLBLVYvd/qiqW0RkJTDE34wi0gVoCTxVsh8FVV2HcwbDVCcrp8N749ge15ZTt0+g1WGNeXmsJQXGGFNZ/B5tVXWViPTHeaqiAN8DrwKv+SoO5AGbVXVDoCsXkVigGTDHT5F1QEcRaaCqO31M7+YOl4rIKThJSW9gH077hNtVNdgzGCZc1s6Ed0aTUacjp2y7hiaNGvLauP7UjrWkwBhjKkupR1xVXez5W0TuBGao6o8hXH89d7jPz3RP98rJgK/EoKk7PA0YDnwBPIvT5uBaoL+IDLNeGauBDb/CW+eTldSKE3ZdQ3x8LV6/pD/JCdZ5kTHGVKZgnpVwZyDlRKS1qv4V4GI9R/0cP9M94/11gu95Ys5w4HJVfcGNIRLnjMHZwJU4dzqUjPNynEaPNGrUiJkzZwYYctkyMjJCurxDXWLaKnouup3MqDqctnMC+TG1+HeXQpbMmx3u0Ko92xfLz+qw/KwOy68y6zCoc7Tu6foLgIZAJM4lBtxhNJACdHCnBcLTMNDfLYWx7tDf5YBCd/i7JykAUNUCEbkBJzE4Bx+Jgduj4/MA/fr106FDhwYYctlmzpxJKJd3SNu+FF4dS15CCudl3kp+rYZ88M8jWb1ortVhCNi+WH5Wh+VndVh+lVmHAScGInIW8B5/JwO+ZAIfB7H+VJwv92Q/05O9yvmbH+CA7ppVdb2I7APaBhGPqUy718DUM8iPiOOc7JvZFdmAdy8bQLO6CawOd2zGGFNDBdOPwbVAPs4v8MbA78AL7t/DgPk4jRBvCnSBqpoLrAda+ynSGueOhT1+pq9yh/7OOEQB+wONx1Si9G3w+ggKCwu5RG9jTV4Dpl1yBK3r1yp7XmOMMRUmmMSgO/CRqr6vqjuAn4CjVXWHqs4ETsRpExDs7Yo/AY1FpIP3SBFpCrQHSrvQPNdd5xC3XYH3/J1w+jFY7GtGE0bZqTBtJJq5mxtiJvFrWgovjz2cjo0Twx2ZMcbUeMEkBnFQ7Azvn0AH95ZD3F/1H1F2PwclTXWH94lIBICICHA/zmWL5/3NqKqpwLtAC+Bmz3i3m+SH3LcvBxmPqUh52fDWBejOFTxU5zY+2tmIKRf0oV+remXPa4wxpsIF0/hwO9DA6/0anMSiK39f49+F0y9BwFT1WxF5B6fXxNkiMgOnx8VBON0kf+4pKyKT3Xkmey3ieuBI4B4RGYrTMdOxOE+DfEdVPwkmHlOBCgvgf5fA+p94rckk/u+vljz0j+4c16VRuCMzxhjjCuaMwQ84zy7wnPJf5A7P8CpzFOCvPUBpRgO3A/VxHn7U2H0/ytNNsusO91XEvawxAOfhSZ1wukiOB24ELjyIWExFUIXPr4U/P+OrZhOY/FdnbjypI+f0ax7uyIwxxngJ5ozBA8BIYImIXKiq74vIp8At7vX8RjiJwavBBuF2QHS3+yqtnM87IlR1N87DlCYEu25TSWY+APNfZX6Lcfxz5RFcfFRr/jXEbhgxxpiqJpgOjpa6p+rv5O/bBK/CuR3wbPf9XOA/IYzPHAoWvA4/PMD6FmcycuVxnN6zKbed2hmnKYkxxpiqJKgOjlR1LnCy1/tNQHcR6QFkA6tKnPo3Nd3amfDZNaQ2PZqT14zkiNYpPHJ2TyIiLCkwxpiqKOA2BiLysoic7muaqi5W1ZXAKBGZHrLoTPW2cwW8M4bcOm05bdtlNKqbyLOj+hITFUzTFmOMMZUpmCP0WKBnGWVOwHmMsqnpMnbCG2dTGBnD2JzrSCOBl8ceTt1a/vqiMsYYUxX4vZQgItcCt5UY/R8RmehnlmggAVgaothMdZWXDW9fgGZsZ3LdB/ltSyKvX9LXejU0xphqoLQ2BlNw+hZo6L5Pxull0NdzCxTIAzYTRJfI5hCkCp9cDZvm8kaLu5i6sgGPnN2DAW1Swh2ZMcaYAPhNDFQ1BzjC815ECoHHVfWuygjMVFOz/wtL3uW3Nldy27J2XHVMO/7RN6g+r4wxxoRRMHcltAb2VVAc5lCw5nv45nZ2ND+Jc5Yfxandm3Dt8R3Kns8YY0yVUVobgx7ANrdnQXAuJSQHcu+5qtqDi2qaPWvhvXHk1u3A8I0X0Llxst2WaIwx1VBpZwwWApOBu7zeB9pHQWTZRcwhIycD3r4QBS7JnUh+ZALPje5LfIztBsYYU92Ulhi8hpMMeEwl8MTA1BSq8NG/0J1/8nij+/llQxKvX9Kb5vUSwh2ZMcaYg1Ba48NxJd6PrfBoTPUz61FY/gk/tprAU382547TOjOwbf1wR2WMMeYgBdUFnYhEiMgIETmixPhnRWRkaEMzVd6a7+H7e9jaYjgX/dmfkX2aMXZgq3BHZYwxphyC6RK5FjAd+B8w3Gt8AnA58K6IvC8i0SGP0lQ9qZvhf5eSW68DZ6w/hx7N6nDvmd3swUjGGFPNBXPG4D/AscAL7gsAVd0PNAOeBc4Cbg1lgKYKys+F98ai+TmMz59ITkQ8Uy7oQ1y0NTY0xpjqLpjE4GzgO1X9p6pu8J6gqltUdTwwCxgTygBNFfTtHbBpLm81voFvdiTx2Dk9rbGhMcYcIoJJDJoDv5dRZg5w2MGHY6q8pR/Br8+wus0oblnZnn8OacuxnRuFOypjjDEhEkxisA3oU0aZbsCOMsqY6mrXavj4KrIa9uasVSfTv1U9rj/BejY0xphDSTCJwcfAMSLyb18TReQS4ETg01AEZqqYvCx4dwwaGc0l+68iJjaWpy/oTVRkUDe2GGOMqeKCeVbCPcCZwOMiciUwG0gDEoH+QGdgE05vieZQ8/Uk2LGUF5o/yOzV8Uy7pDeNkuLCHZUxxpgQCzgxUNXdbv8FD+MkCBd5Tc4F3gau93q2gjlU/Pk5/PYCq9texH1Lm/PvY9tzVDvrxMgYYw5FwZwxQFW3A2NEJAZoC9QFMoAV7mOazaEmdTN8PJ7cht05Z80J9GlRh38PaxfuqIwxxlSQoBIDD1XNBZaHOBZT1RQWwAeXo/m53FA4gVyN5olzrV2BMcYcyuwIb/z76TFY/xPftb6BjzclcNcZXWmRYv0VGGPMocwSA+Pbxrkw4372tDmDK/7owGk9m3Jmb+uiwhhjDnWWGJgD5WTAB5dTmHQYo7adQ+OkeO4ZYc9BMMaYmsBvYiAi8ZUZiKlCvrkd9q7jubrX8+de4fFze5Ecb8/GMsaYmqC0MwYrRWSy542IjBGRHhUfkgmr1d/CvJdY32EcD/5Zn38OaUv/1vXCHZUxxphKUlpi0ADw7sHmVWBERQZjwmz/HvhoPAUpHblw7fF0apzIhOPahzsqY4wxlai02xW3AxeKyApgtzuuk4icXtZCVfWTUARnKtkX18P+XTxR/262boWPx/UkNsoepWyMMTVJaYnBM8D9wIvuewXOdV/+iFvOvk2qmyXvwx//Y023a3h6Xi3+Pawt3Q5LDndUxhhjKpnfxEBVHxSR33GeqBgH3A7MBH6onNBMpUnbCp9fR36Tvlz450A6NY7nqmF2CcEYY2qiUns+VNWvga8BROR2YKaq3lUZgZlKogqfXwf52TwUP5Fd+wt4cVxPYqLsTlZjjKmJgnmIUrFvChFJBBKAPaqaF+rATCVZ+iGs+JyVPW7k+bkR/PvYdnYJwRhjarCgfhaKSLSI3Coia4F9wBYgW0RWiMgtInJQz14wYbJ/D3xxA/mNezFmWT86N0niqmPsAUnGGFOTBfxF7j5R8WtgEJANLMJJDOoCvYC7geNF5DhVLQh9qCbkvroZsvfxeKOH2LW/gJcu7mGXEIwxpoYL5lvgOmAw8CbQUlX7qOpwVT0KaAxMdaf/O/RhmpBb+TUsfof1Xf7JlOVxXDm0LV2b2iUEY4yp6YJJDEYBS4CLVHWX9wRVTQcuBf4ALgpdeKZCZKfBZxMprN+RcWsG06ZBLa60SwjGGGMILjFoA3ynqoW+JrqXD74H7BumqvvuTkjbzNSGN7B2bz73n9mduGjresIYY0xwiUEmziWD0jQCcg4+HFPh1s+G315kV7eLuev3BM7v35wj2qSEOypjjDFVRDCJwU/ACBHp6WuiiPQGznTLmaqoIA8+m4gmN+OKLSeTUjuWm0/uHO6ojDHGVCHB3F54L3AKMFNEngBmAalAU5w7Fa7ESTTuCXGMJlR+fQZ2LuebHo8zf24uUy7oY49TNsYYU0wwHRz9JiLnAC8Dd+A8E8FDcJKE0ar6W2hDNCGxbyPMfICs1icy4femHNc5hVO6l3VlyBhjTE0TVIdEqvqRiHwHnIHTd0ESkA4sBD5y704wVdFXN4Mqd+aPQQTuPKMbIhLuqIwxxlQxQfdU6H75T3NfIeH2mHg1cBnQGtgKvAI8EGx3yyISAfwCHKGq9s0HsOIr+PMz1vS8nrfnCDed1J7D6sSHOypjjDFVUFXp5m4K8BiwG3gS2AzcBbx1EMuaCBwRutCqudz98OUNFNbvyBWrjqBNg1pccnTrcEdljDGmigr7sw1EZCBwOfA+cI6qqjjnuF8FxojIcFX9LMBltcXpmtl4zHoE9m3gox7PsXpuHq9f0tu6PTbGGONXVfiGGO8O71RVBXCH/8Fp4HhpIAtxk4kXcZ7fsLIC4qx+9qyFX54ms9NIbvk9mZO7NWZQ+wbhjsoYY0wVVhUSg8HALlX9w3ukqnq+4IcEuJx/AkNxzj5khTLAauub2yEiiruyzgXgtuFdwhyQMcaYqi6siYGIxALNgDV+iqwD6ohIqT9zRaQ58CDwkqp+H9Igq6u/ZsHyT1nX+QreWZHPVce0swaHxhhjyuQ3MRCR00WkQwWvv5473Odneqo7LOuxf8/hdNl8fQhiqv4KC+Cr/6DJzRj/10BapiRw2eA24Y7KGGNMNVBa48MPgTtx7g4oIiItgFaq+mMI1u/pds/f8xU84+P8LUBExgAnA/9Q1X2BrlhELse57ECjRo2YOXNmoLOWKSMjI6TLC1aTLV/TcfsS3ms4kaUb8ri6dwSzf5oVtngORrjr8FBh9Vh+VoflZ3VYfpVZh6UlBv76ABgH3A6E4nF8nrYAMX6mx7rDTF8TRaQR8Djwoar+L5gVq+rzwPMA/fr106FDhwYze6lmzpxJKJcXlOw0ePpS8psdwYNbBtK/VSLXnjOg2nVmFNY6PIRYPZaf1WH5WR2WX2XWYbgbH6YChfi/VJDsVc6XKTgJyng/02uenx6HzJ28Uedf7N6fx23DO1e7pMAYY0z4hLUfA1XNFZH1OL0d+tIa546FPX6mj3SHW3x9+YmIAutVtVV5Y60W0rbCr/9HZsezuHdhHGf2bkKPZnXCHZUxxphqJOwdHOE8pnm0iHRQ1aL+B0SkKdAeKK1zozv9jP8n0Midvi9EcVZ9PzwAhfk8kvsPBLjhxI7hjsgYY0w1UxUSg6nAaOA+ETlHVQvdzorux2nn8Ly/GVV1sq/xIjICaORv+iFp1ypY8Do7O43ild/h6mFtaGq3JxpjjAlS2BMDVf1WRN4BzgVmi8gMYCAwCKeb5M89ZUVksjvP5MqPtIr7/m40Ko6bdp5I/dqxXDGkbbgjMsYYUw2VlRgM9XHtfiiAiEzC950LqqrBPq9gNLAUGAtcA2zAufPhIU83ya473OHkIJd/aNs8H5Z9zKpOV/L9QnjgrA7Ujg17zmeMMaYaKjMxcF+++Lu+rwT5ICP30cp3lzVfoI9RVtVeway/2pv5ABpfl4kbB9GhUS3O7tc83BEZY4yppkpLDMZVWhTm4G1eAKu+ZknHf7N0kfL86I5ERtjticYYYw6O38RAVV+rzEDMQfrxYTQumWv/6k/P5nU4vkujcEdkjDGmGgt3B0emPLYughVf8HvTC1idFsGNJ3a0zoyMMcaUS0At1ESkDXA2cBTQBEgCMoC1wC/Au6q6uaKCNH78+DAam8jEdQMY2DaFo9rVD3dExhhjqrlSEwMRiQaeAi7B6Xq45M/R3sBZwAMi8n/ADW5DQlPRti+F5Z/yW4tLWb8ymsetMyNjjDEh4DcxcDsZ+gw4HtgKvAjMAjbjPPUwEWgFDAZGAVcDHYBTKjRi4/jxYTS6FhM3DOS4zo3o06JuuCMyxhhzCCjtjMGlOEnB58AoVfX1IKNFwMdux0NTgdNFZLSqvh7ySM3f9qyFZR8zr+koNq+J48UTOoQ7ImOMMYeI0hofXohzpuB8P0lBEVVNBy4AdrrzmYr06/+hEsnNmwdyQpdGdG6SFO6IjDHGHCJKSwy6Al+rakYgC1LVLOBroGcoAjN+7N8Dv0/jzwYnsSY7iauHtQ93RMYYYw4hpSUGScC2IJe3Cah38OGYMs17CfL2c/vOYxjasQHdmyWHOyJjjDGHkNLaGEQDWUEuL6eMZZryyMuGOc+zMWUgv21uzP/sbIExxpgQsw6OqpMl70LmDu7bdwID26bQt6XdiWCMMSa0yvp1r2VMN5VFFX59lj2JHflyZ3vePKZduCMyxhhzCCorMZgoIsE8TKlOOWIxpdkwG3Ys5eXY8fRoVocj26aEOyJjjDGHoLISgzoE/2VvZxkqwtwXyItO4sXUfjx0Sht7JoIxxpgKUdrTFa39QVWRvg2Wf8L0+NNIqVOHU7o1DndExhhjDlH25V8dzH8NCvN5ZM/RjDuqFVGR9m8zxhhTMQL6hhGRjiLi86K2iNwpIkeHNixTpCAP5r/C8oTD2R3TnHMPbx7uiIwxxhzCSk0MRCRWRN4GlgKn+pjeGJgE/CAiH4qI9c0baiu+gPStPJE6mLP7NScxLjrcERljjDmE+U0MRCQS+BI4B9gI7PJRbD9wE7AGOAP4VKxVXGjNf5X02EZ8U9CbUQNahDsaY4wxh7jSzhhcAQwFpgHtVfWLkgVUNU1VH8Z5PsLHwNHAJRUQZ820byO6Zgbv5Q/hyHYNaNOgdrgjMsYYc4gr6+mKG4BLVDW/tIW4D1C6COeswpjQhVfDLXoLQXl5/1GMOqJluKMxxhhTA5SWGHQDpqtqXiALUtU0nKcr9ghFYDVeYSH8Po2lcb3Jrd2M47o0CndExhhjaoDSEoMoYF+Qy9uM8/AlU17rZsG+9TyfPpDz+rcg2m5RNMYYUwlK6/lwAxBsh/ztcJIDU16/TyM7MpFvcvvzXX+7RdEYY0zlKO1n6I/Aye4tiWVyy50KLA5FYDVa1j50+Sd8UngUAzs2o0lyfLgjMsYYU0OUlhg8C8QC75fVP4GIJAIfADHufKY8/vgfkp/N1OyjOadfs3BHY4wxpgbxmxio6u/AvcBAYIWI3Coih4tIsohEiEiKiBwhIpOA1cAA4BVV/bZyQj+ELX6HTTFt2BrfkWM6NQx3NMYYY2qQsp6ueAeQi9O74V3uqyRxyzwI3BrS6Gqivetg4xzeKjiPEUc0s0aHxhhjKlWpiYGqKnCPiLyD00/BSUAznEcx7wbWAl8Bb6rqXxUbag3xx/8A+Dj/SF7oa5cRjDHGVK6yzhgAoKqrgNvcl6lIS/7HsqjO1ElpS+cm9ugJY4wxlcvOU1cl25fCjqW8lXUE/+hjZwuMMcZUvoDOGJhKsuR9Colkug7gq16HhTsaY4wxNZCdMagqVNEl7zE3ogfdOrSjXq2YcEdkjDGmBrLEoKrYNA9J3ch72UdwWs8m4Y7GGGNMDWWJQVXx56cUEMkPEYdzfJeAOps0xhhjQs4Sg6pAFV3+Gb9JV/p3bk3tWGv6YYwxJjwsMagKdq5A9qzhs9y+nNajabijMcYYU4NZYlAV/PkZAL9EHWFdIBtjjAkrO2ddBRT++TlLaUevLp2Ji44MdzjGGGNqMDtjEG6pm4nYsoAv8vox3O5GMMYYE2aWGITbii8AmBXZn6Pa1Q9zMMYYY2o6u5QQZrriSzbQlJadehMbZZcRjDHGhJedMQinvCx03U98m9+TE7o0Cnc0xhhjTNVIDEQkSkQmisgyEckSkbUiMklEogOcv6+IfCQiu0UkV0TWiMgDIlKromMvl3U/EVGQw0/0tLsRjDHGVAlVIjEApgCPAbuBJ4HNwF3AW2XNKCLHAL8AJwPTgafc5dwEzBCRuAqKudx01TdkE4O0OpqkuIByIGOMMaZChb2NgYgMBC4H3gfOUVUVEQFeBcaIyHBV/ayURTyDk+Acpapz3WUK8BxwGXAlTtJR5eSt+JrZBZ0Z1q1FuEMxxhhjgKpxxmC8O7xTVRXAHf4HUOBSfzOKSBegE/CxJynwmv8u9+3JFRF0ue1ZS0zqX8ws7MXx1r7AGGNMFRH2MwbAYGCXqv7hPVJVt4jISmBIKfOm4Vwy+MPHtBx3WDskUYba6u8A2NHwaBolVdmrHcZUqpycHPbs2UN6ejoFBQXhDgeA5ORkli9fHu4wqjWrw/IrrQ4jIyNJTEykXr16xMbGlntdYU0MRCQWaAbM8VNkHdBRRBqo6s6SE1V1E/CQn3nPdIdLyxtnRcj5czpbCxvRrUefcIdiTJWQk5PDhg0bqFu3Lq1atSI6OhrnqmB4paenk5iYGO4wqjWrw/LzV4eqSl5eHmlpaWzYsIEWLVqUOzkI96WEeu5wn5/pqe4wOZiFikgj/r6U8HzwYVWw/Fwi1//Ej4U9GNKhQbijMaZK2LNnD3Xr1qV+/frExMRUiaTAmKpORIiJiaF+/frUrVuXPXv2lHuZ4b6U4GmKn+Nnumd8wOfaRSQZ+BxoBDzl3fagRLnLcRo90qhRI2bOnBnoKsqUkZFR6vKS9y2ld0EWCyK703zlAmausgNgSWXVoQlMdarHpKQkWrduTXp6erhDKaagoKDKxVTdWB2WXyB1GBkZyYYNG1ixYkW51hXuxCDLHcb4me45H5IZyMJEpAHwFdAH+Ay4zl9ZVX0e92xCv379dOjQoYGsIiAzZ86ktOUVfD+bQoTEzsdyzDFHh2y9h5Ky6tAEpjrV4/Lly6lTp06VO1Ngp8HLz+qw/AKpQ1UlPj6ePn3Kd4k63IlBKlCI/0sFyV7lSiUibXH6MWgLfIJz62N+KIIMtf0rZ7CusCVHdGkT7lCMqVKqWlJgTHUSqs9PWNsYqGousB5o7adIa5w7Fkq9aCIivXA6OWoLvAaMVFV/lyfCKy+L+O0LmF3YlaPtoUnGGGOqmHA3PgT4CWgsIh28R4pIU6A9MLu0mUWkHfA10BCnI6NxVfVMAQAb5xCleeys3586Cf6uoBhjjDHhURUSg6nu8D4RiYCingvvB4RS7ipwy78FNACeVNXrPJ0kVVXZK2eQrxHU6VRa9wzGmJpu+fLl/POf/6R9+/YkJCTQoEEDBgwYwGOPPUZqaplXV6uMk08+maSkJE499VS/ZV599VVEhCeeeKLyAjN+hbuNAar6rYi8A5wLzBaRGcBAYBBON8mfe8qKyGR3nsnuqBFAP5y7FzI800vYpqrPVlD4Qcte9QNrtC2Hd2wZ7lCMMVXUI488ws033wzA8ccfz5lnnklGRgY///wz1113HY888ggffPABAwYMCHOkpdu2bRvffPMNCQkJTJ8+nU2bNtGsWbNwh2XKEPbEwDUapyOiscA1wAbgduChEmcA7nCHk93hYHcYC9zqZ9mLgKqRGORkkLR7MXM5jYubB9U1gzGmhpgyZQo33HADXbp04b333qNLly7Fpr/11ltcfPHFHHPMMcybN4+uXbuGKdKyvfHGGxQUFDBhwgTuv/9+XnnlFSZNmhTusEwZqsKlBFQ1T1XvVtW2qhqnqh3c9zklyomqitf7azzjSnn1qvQN8mfzPCIoILXh4cRGRYY7GmNMFbN161auu+46UlJS+Oabbw5ICgDOP/98XnjhBbKzsxk3blwYogzc1KlTqVu3Ltdccw3Jycm8/PLLVPGrvYYqkhjUFFlrfqFQhXodjgp3KMaYKui5554jJyeHK6+8kqZNm/otN2rUKHr06MFvv/3G/Pnzi8aLCKNGjWLGjBn079+f+Ph4WrduzW233UZ2dvYBy1m9ejWjRo2iUaNGxMbG0rlzZ+6//37y8vKKlRs6dCitWrVi06ZNXHDBBaSkpJCQkMDgwYP9dqC1ePFiFi9ezHHHHUd8fDwjRoxg3bp1fPvttwHXx7Zt27jyyitp1qwZsbGxtG7dmptuuqlYRz+zZs0iIiKCFi1akJGRUTQ+NzeX7t27ExkZyaxZswJep7HEoFJlrP6ZFdqMvta+wBjjg+dL8+STy34o7JlnOo+D+eijj4qNX7RoESeddBIJCQmMHz+eunXrcu+993LqqadSWFhYVG7BggX069eP9957j2HDhjFx4kTq1avHLbfcwumnn37AQ6wyMjIYNGgQixYt4qKLLmLEiBH8/PPPnHjiiaxZs+aA+F577TUAzj33XADOO+88AF588cWA6mLDhg0cfvjhPPvss/Tt25eJEyfSsWNHHnroIYYMGUJmptPv3aBBg7jqqqvYuHEjd9xxR9H8d9xxB3/88QfXX389gwYNCmidxqWqNf7Vt29fDaUZM2YcOLKgQLPubKJvTTpLc/IKQrq+Q5HPOjRBq071uGzZsnCH4FNaWlqlrat+/foK6O7du8ss+/bbbyugF1xwQdE4nEfV6/jx44vG5eXl6ZlnnqmAvvLKK6qqWlhYqN26ddO4uDidN29eseVOnDhRAZ0yZUrRuCFDhiigZ5xxhubm5haNv/feexXQSZMmFVtGfn6+Nm7cWBMTEzUrK0vT0tI0Pz9fGzZsqDExMbpz585i5V955RUF9PHHHy8ad8opp6iI6Kefflqs7JNPPqmA3nDDDUXjMjMztU2bNhoVFaWLFi3SOXPmaGRkpHbv3l1zcnLKrMvqIND9MNDPETBP/XwnVpXGh4e+nX8SV5jJvvq9iYmyEzXGBOPOT5eybEtaWNZdUFBAZGTZbYK6NE3ijtPK1xDQcxtiUlJSmWXr1XOeQbdr165i42vXrs3dd99d9D4qKoqHH36YDz/8kDfeeIOxY8cyZ84c/vjjD8aPH0/fvn2LzX/33XczZcoUXnnlFa688spi06677jqio6OL3p9yyinceuutrFy5sli5b775hm3btjFmzBji4uLIy8sjMjKSs88+mylTpvD6668zceJEv9u2detWvvzyS0455RSGDx9ebNpVV13FI488wiuvvMJDDzkP101ISOCll15i2LBhXHXVVezevZvIyEimTZtGTIz1FxMsSwwqSeaaX6gF1G5n7QuMMb7VrVuXHTt2kJWVVWa/+J5T6Q0aFH9Ca48ePahbt26xcW3btqVevXosWrQIoKhdwpo1a5g8efIBy05MTGTRokWoarFudjt0KNYPHcnJzt1VOTnFO5qdOtXpnub8888vNv7CCy9kypQpvPjii6UmBgsWLEBV2b17t8/4YmJi2LhxI5s3b+awww4DnHYQ//rXv3jmmWcAePDBB+nRo4ffdRj/LDGoJKkrZrFfk+jQyXZUY4JV3l/i5VGZDwBq27YtO3bsYOXKlQf8ki9p2bJlALRsWbzNkueLsqTGjRuzevVqAPbt2wfAV199xVdffeV3HRkZGcW2PTY2tth0T9KgXncapKenF7V78NdWYtmyZcyePZsjjzzS53RPfL/++iu//vqr3/j27NlTbHtHjhxZlBgMHDjQ73ymdJYYVJK4bfOYrx0Z1LxOuEMxxlRRI0aMYPbs2Xz00UdlJgaffPJJ0TzesrKyfJR2vmzr13eez1K7dm0AXnrpJS6++OJyRl3ce++9R1ZWFocffnjRU/7y8vKKLkGsWLGCmTNn8uKLL/pNDDzxTZo0ibvuuiug9WZnZzN+/Hji4+MBuPTSS1m4cCFxcXHl3aQaxy52V4aMndTL2cSWxO7ERVv/BcYY38aMGUNycjJPP/0069ev91vugw8+YM6cOfTu3ZvDDz+82LT58+cXu/sAYP369WzZsoUjjjgCoOgU+7x58w5Ydl5eHtdddx1PP/30QW2D5zLCY489xrPPPsuzzz7LE088UfT3a6+9RkREBO+8806x2w69lRYfOHccPPDAA+Tm5haNu/322/nzzz+5/fbbueWWW1ixYgW33377QW1DTWeJQSXIXeecCpMW/cMciTGmKmvcuDGPP/44qampHHfccSxduvSAMh9++CFjxowhNja26JZAb1u3buXhhx8uep+Xl8e1114LUHR2YPDgwbRu3ZqXXnqJ2bOLP6fugQce4LHHHivWP0Kg1q9fz48//kirVq046ijf7alatGjBsGHDyMzM5O233/ZZpnXr1gwePJgvv/yS999/v9i0119/nbvuuouvvvqqqGHh3Llzeeyxx+jWrRvXXXcdN954I507d+axxx5j7ty5QW9HTWeXEirBrpWzaagRNOns+7SZMcZ4jBs3joKCAq688kp69erF8ccfT48ePcjJyWHWrFnMnz+fxo0b89Zbb9G9e/cD5k9MTGTSpEl8//33dOnShe+++44lS5YwevToohb+kZGRTJ06lZNOOonBgwdzxhln0LZtW+bNm8f3339P69atuf/++4OO/fXXX0dVueCCC4o1WvS1jd9++y0vvvgil112mc8yzz//PIMGDeLss8/m5JNPplu3bqxYsYLPPvuMevXqFbUlyMnJYdy4cRQWFvLcc88VXbJ47rnnGDJkCOPGjWPBggUHtI8w/tkZg0qQv+l3VmkzerdpEu5QjDHVwKWXXsqff/5Z1HHPlClTmDp1KpGRkTz88MMsXbqUoUOH+py3TZs2TJ8+nW3btvHss8+Sn5/PE088ccDZhaOPPpq5c+dy9tlnM2vWLJ588knWr1/Pv//9b2bPnk2TJsEfr6ZNmwY4PTOW5qyzzqJOnTrMnTuXJUuW+CzTsWNH5s+fz2WXXcbixYt58sknWbRoEaNHj+a3334r6i568uTJLFu2jMsvv7xYg8NBgwZx8cUXs2zZMp93Nhj/xLs1aU3Vr18/9Xct62DMnDnz7w+tKul3t+THiH6cetsHIVvHoa5YHZqDVp3qcfny5XTu3DncYRygMu9KKC8RoWfPnixcuDDcoRRTneqwqgq0DgP9HInIfFXt52uanTGoaKmbSCxMJbPegaf8jDHGmKrGEoMKlvHXbwBENe8T5kiMMcaYslliUMH2rp5LnkbSuIPPMzbGGGNMlWJ3JVQw3bqQldqMLs0blF3YGGPKwdqMmVCwMwYVrE7qn6yLbkudBHuQhzHGmKrPEoOKlLmLpIK97K/TMdyRGGOMMQGxxKACZW5aDEBM0/A9AMYYY4wJhiUGFWjn6t8BaNDW7kgwxhhTPVhiUIFytvzBHq1Nu9Ztwh2KMcYYExBLDCpQ/N4VrJEWNEiyx34aY4ypHiwxqEB1szawN75VqQ8TMcYYY6oSSwwqiGankqjpFNRpGe5QjDHGmIBZYlBB9mxeDUBcg9ZhjsQYY4wJnCUGFWTb+hUApDRtH+ZIjDHV0ZYtW7jvvvvo378/jRo1IjY2lubNm3Puuefy9ddfhzs8v4YOHYqIsG/fvpAv+8cff+Scc86hadOmxMbG0rBhQ0444QSmTp1KYWHhQS1z5syZiAjXXHNNaIPFedplr169Qr7cimZdIleQjO1rAWjS2jo3MsYE5/333+fiiy8mPT2d3r17c/bZZ5OYmMi6dev44osvePfddxk3bhwvvvgiERE14/fdo48+yvXXX0/Dhg055ZRTaNy4Mdu3b+ebb77hoosu4u233+bjjz8mOjo63KFWe5YYVJS968nUWOo3aBLuSIwx1ci3337LOeecQ0pKCh988AHHHXdcsem7d+/mvPPO45VXXqF3795cffXVYYq08qxdu5Ybb7yRAQMG8N1335GQkFA0LTs7m5EjR/LFF1/wzDPPMGHChDBGemioGalmGMRmbGJHZCOkhmTzxpjyy83N5dJLL0VVefPNNw9ICgBSUlJ4++23SUpK4qGHHqoRD0764osvKCws5IorriiWFADExcXx+OOPA/DBBx+EI7xDjn1rVZCknC2kxjYNdxjGmGrkyy+/ZP369Zx66qkcf/zxfsulpKRw8803c8kll5CVlVVs2jfffMPxxx9PUlIS8fHx9OnTh2eeecbnNfjffvuNESNGkJKSQlxcHF26dOG+++4jJyfngLILFixg+PDhpKSkkJyczHnnncfmzZuJiopi7NixZW7b999/z/HHH09ycjK1atXiyCOP5P333y+7UoC8vDwAlixZ4nN6hw4deO+997j//vsPmPbKK69wxBFHkJiYSOPGjRkxYgSLFy/2uZzXXnuNnj17EhcXx2GHHca1117L/v37DygXTB2XtGvXLm644QY6d+5MQkICCQkJdO3alfvuu4/8/Pyicq+++ioiwnvvvceJJ55IgwYNaNmyJWvXri1zHeWmqjX+1bdvXw2l77/7TtNub6Sznx4X0uXWJDNmzAh3CIeE6lSPy5YtC3cIPqWlpVXausaOHauAvvTSSwc1/1NPPaWAJicn65gxY/TKK6/UNm3aKKDnnnuuFhYWFpX98MMPNSoqSmNjY/Xcc8/VCRMmaLdu3RTQQYMGaXZ2dlHZX375RRMSEjQ2NlYvvPBCnThxojZr1kxbtWqlERERetFFFxWVHTJkiAK6d+/eonFPP/20iog2bNhQL7vsMp04cWJRXPfee2+Z27V48WIFVER09OjR+u2332pOTk6Z811++eUKaMuWLfVf//qXXnLJJRofH6+1a9fWRYsWqarzGQG0YcOGGhMTo+eff75ee+212rFjRwX0zDPPPOg6BrRnz55F7/ft26dt2rTRqKgoPeuss/Tmm2/WSy65ROvWrauAXnfddUVlX3nlFQW0UaNG2rt3b50wYYKOHDmyzG0O9HMEzFM/34lh/1KuCq9QJwZfffGJ6h1J+svrd4R0uTVJdfpCq8qqUz1aYqB69NFHK6Bz5swJet41a9ZoVFSUtmjRQtesWVM0PiMjQ4cNG6aATp06VVVVU1NTtW7dupqUlKTz588vKpuXl6cXXnihAnrXXXcVje/evbtGRUXp7Nmzi8bt2bNH27dvr0CpicHGjRs1NjZWO3furLt27Soqt3//fh04cKBGRETokiVLyty++++/X0VEAQU0Pj5ejznmGL3vvvt0xYoVB5T/7rvvipKc1NTUovE///yzioiedtppqvp3YhAZGak//vhjUbnMzExt2rSpikhR3MHUseqBicH999+vgL7wwgvFYt2wYYPGxsZqkyZNisZ5EoNmzZppZmZmwPthKBIDa3xYAXLT9wAQU+ewMEdizCHiy5thm+/TyBUtviAfIgM4VDbuDic/UK517dixA4C6deseMO2DDz7weQp8xIgR9OrVizfeeIP8/HzuuOMO2rT5+/kstWrV4qmnnqJbt2689NJLjB49mo8//pi9e/cyadIk+vT5+yFvUVFRPP7443zwwQe89NJLTJo0iQULFrBkyRJGjx7NgAEDisrWrVuXyZMnc+GFF5a6TdOmTSMnJ4e77rqLlJSUovHx8fHceeedHH/88bz22ms8/PDDpS7n5ptvZvDgwTz22GN8+eWX7N+/nxkzZjBjxgxuvfVWLr74Yp5++mni4+MBeOuttwB44IEHSEpKKlrOwIEDuf/++w+o4yFDhjBo0KCi9wkJCQwbNoxp06axbt06UlJSgqpjX0488UTq1q3LRRddVGx88+bNadOmDStXrjxgnlNOOYWEhATS09NLrZ9QssSgAuRn7gagVoolBsaYwNWrVw+AvXv3HjDtgw8+4I033jhgfKtWrejVqxcLFy4EYPDgwQeU6dq1K3Xq1GHRokUApZZt0KABHTt2ZOHChaSmpvLbb78B0L9//wPKHnXUUWVu0/z58wH47rvv+OOPP4pNy8jIKBZPWQYOHMjAgQPJycnh559/5vvvv+ezzz5j0aJFvPTSS6Snp/POO+8AsGjRIiIjIzn88MMPWM5NN910wLj27Q/sc8aTyJSMM5A69qV379707t2bjIwMfv31V1avXs3KlSv57bffWLVqFQUFBQfM06pVK7/LqyiWGFSEbOdDndywWZgDMeYQUc5f4uWRlZ5OYmJipayrdevWRV8YJb+Ip02bxrRp04reP/HEE0ycOLHofVpaGgDJyck+l920aVNWr14dcNmFCxeyf/9+du3aBUDjxo19liuLp6OjZ5991m+ZPXv2lLkcb7GxsQwbNoxhw4Zxzz338Mknn3Deeefx7rvv8sADD9C6dWv27t1LfHx8wP0axMX5f9idc+Y9uDr2JTs7m1tuuYXnnnuuqFHjYYcdxuDBg2nQoAFbt249YB7PGZDKZHclVIDIbGcnr9e4eZgjMcZUJ2eccQZwcLfdeZKXLVu2+Jy+d+/eol/AgZQF5wyG5zS850vRm69xJdWuXRuANWvW+G3n5Tmr4E/fvn3p2bOn3+mnn3560en7VatWFa03KyurWEt/D193GgQimDr25brrruPxxx/nlFNOYcaMGezevZtNmzbx5ptv+k02wsESgwoQk7uPLGKJTagT7lCMMdXI6aefzmGHHcaHH37Ijz/+WGrZkrfGebrenTVr1gFlV69ezdatW+natWuZZdPS0li4cCHt2rUjNjaWvn37AjB37twDys6ZM6fMberRowcA8+bNO2DaqlWruP766/n0009LXUZkZCSLFy8O6JKD5yxG9+7dKSgoYMGCBQeUOeOMM6hTp07QCUIwdezLm2++ScOGDXn33XcZOnRo0aWjrKws1q9fD/x9diKcLDGoAPF5e9kXURfsccvGmCDEx8fz+uuvA06jQl9nDvLz83n55Ze55557AIq6RB41ahRRUVHcd999/PXXX0XlMzMzGT9+PABjxowpWnZycjLPPPNMsS/O/Px8JkyYQFZWVlHZI488kk6dOvH6668XK7tv3z5uv/32Mrdp1KhRREZGcuutt7Jt27Zi67r66qt59NFH2b17d6nLuOqqqwC44IILis4IeJszZw5vvvkmffv2pVu3bkXrBbjtttuK9fUwe/ZsZs6cycCBAw/oLCmQbQm0jn2Ji4sjOzu72HMkCgoKiuoc/u6zIZysjUEFSCrYS3pMCtYZsjEmWMcccwxffPEFo0ePZuTIkbRv356hQ4eSkpLC5s2bmT59Ojt27CAhIYG7776b888/H4A2bdrw6KOPMmHCBHr37s2IESOoXbs2X375JWvXruW8884rOt2elJTEyy+/zLnnnsvAgQM588wzadSoEd9//z1Llixh0KBBRQ30RITnnnuO448/nqOPPpqRI0eSnJzMp59+WvSLOzIy0u/2tG/fnrvvvptbbrmFrl27csYZZ1C3bl2+/PJLli9fzvDhw4u+xP0ZM2YMv//+O0888QRdu3bl2GOPpVu3bogIixYt4ttvv6Vhw4ZFdyIAnHDCCVx88cW8/PLL9OzZk5NOOon09HTefvttEhMTmTJlStD/m2Dq2JdRo0bxyCOP0K9fP0aMGEF+fj7Tp09nxYoVNGjQgJ07d7J7926aNAnzt4e/az416RXqfgzW3t5JFz56ekiXWdNUp/vvq7LqVI/Wj0Fxu3fv1ieffFIHDRqkTZs21ejoaG3YsKEec8wx+uCDDxbrE8Dbl19+qcOGDdPExEStVauWHn744frCCy8U63jH49dff9Xhw4drnTp1ND4+Xrt3764PP/yw5ubmHlD2559/1mHDhmmtWrU0KSlJL7zwwqI+AK666qqicr46OEpLS9PPP/9chw0bpklJSVqrVi3t0aOHPvroo8U6UirL999/rxdeeKG2atVK4+PjtVatWtq1a1e95ZZbdM+ePQeULyws1GeeeUZ79uypsbGxmpycrGeeeaYuX768qIxnGyZMmHDA/BMmTFDggM9RoHVMiX4McnJy9M4779R27dppXFycNm/eXE888USdPn26PvHEEwroiy++qKp/92Pw+OOPF9VhIELRj4FoFbieEW79+vVTX9e/Dlb6HY35s/FwDv/XiyFbZk0zc+ZMhg4dGu4wqr3qVI/Lly+nc+fO4Q7jAOmVeFdCVZSdnc22bdto3rz5AWcGZsyYwbBhw3jwwQe58cYb/S6jptdhKARah4F+jkRkvqr28zXN2hiEWHZ2FomSRWG8/5apxhhTXaSnp9O6dWuOP/74Yg3jCgoKeOyxxwDn8oc5dFgbgxBL37uTOCAioV64QzHGmHJr0KAB//jHP3j//fc5/PDDGTp0KAUFBXzzzTcsXbqUyy+/3GcnQqb6ssQgxDL27aYBEFXrwC5NjTGmOpo2bRpHHnkkU6dO5fnnnwegU6dOPPfcc1x22WVhjs6EWpVIDEQkCrgauAxoDWwFXgEeUNUy790QkXrAXcBwoCGwHHhIVd+psKD92J/m9BIWk2iXEowxh4bY2FiuvfZarr322nCHYipBVWljMAV4DNgNPAlsxvmif6u0mQBEpBbwDXAl8CvwX6AO8LaIXFVB8fqV4z5AKc4SA2OMMdVQ2BMDERkIXA68DwxW1ZuBwcBUYKSIDC9jEROAPsDVqnqeqt4I9AKWAg+KSMMKC96H3Az3AUrJlhgYY4ypfsKeGADj3eGd7r2VuMP/4Dx3+9Iy5r8S2A4UPaFDVdOBe4EE4IJQB1yati2asy6hO3XqW/dGxhhjqp+qkBgMBnaparHncarqFmAlMMTfjCLSFjgMmKWqJZ9XOcMd+p2/IjTocxrr+t9DXFL9ylytMYcE61fFmIMXqs9PWBMDEYkFmgFr/BRZB9QRkQZ+prd1hwfMr6rbgGygQznDNMZUgsjIyCrRT7wx1VVeXl6p3VMHKtxnDDw3++/zMz3VHfp7HqXnQr6/+dNKmdcYU4UkJiYG9BhfY4xvaWlpIelhMty3K0a7wxw/0z3j48oxv8/HZ4nI5TiNHmnUqBEzZ84sNdBgZGRkhHR5NZHVYWhUp3oUERITE8nKyqJ27dpERkYiVeAJpQUFBaSnp4c7jGrN6rD8/NWhqlJQUEBGRgY7d+4kPT2dFStWlGtd4U4MPM/CjPEzPdYdZpZjfp/zqurzwPPgPCshlP3JV6f+6asqq8PQqG71mJOTw549e9i5cycFBSWbDYVHdnY2cXH+fpuYQFgdll9pdRgZGUliYiJdu3YlNjbWZ5lghDsxSAUK8X+6P9mrnC97S5QrKQnnjgVjTDUQGxtLkyZNwv/YWS8zZ86kd+/e4Q6jWrM6LL/KrMOwtjFQ1VxgPU5vh760xrljYY+f6Su9yhUjIk1wLkGU75yKMcYYU4OEu/EhwE9AYxEpdveAiDQF2gOz/c2oqhuADcDRIlJyW4a6Q7/zG2OMMaa4qpAYTHWH93m+3MVpcXQ/ILjtAErxOs4tj0XdH4tIInArThuE10MdsDHGGHOoCncbA1T1WxF5BzgXmC0iM4CBwCCcbpI/95QVkcnuPJO9FvEQcA7wpIgMwenTYCTQBqeb5J2VsBnGGGPMIaEqnDEAGA3cDtQHrgEau+9HafGunO5wX0VUNQ0niXjZHY7H6dfgfFX9b0UHbowxxhxKwn7GAMB9tPLd7qu0cj5valbV7cAlFRCaMcYYU6NUlTMGxhhjjKkCLDEwxhhjTBGxp5mBiOzE6U8hVOoDu0K4vJrI6jA0rB7Lz+qw/KwOyy/UddhSVX0+oNASgwogIvNUtV+446jOrA5Dw+qx/KwOy8/qsPwqsw7tUoIxxhhjilhiYIwxxpgilhhUjLJ6azRlszoMDavH8rM6LD+rw/KrtDq0NgbGGGOMKWJnDIwxxhhTxBKDAIlIlIhMFJFlIpIlImtFZJKIRAc4fz0R+a+IrBOR/SIyX0TOrei4q5IQ1GFfEflIRHaLSK6IrBGRB0SkVkXHXpWUtx5LLCtCRH4VkRp16jAE+2KciNwuIitFJNvdFx8XkToVHHqVEYI67CEiH4vIXrcOF4vI5RUdd1UkIk1FJFVErglinor7TlFVewXwAp4DFJgFPOAOFXg/gHlrAfOBQuBtnAc/rXHnvyrc21ZN6vAYIMd9vQk8Asx1558LxIV7+6pDPfpY1nXuvBru7aoudQhEAzPc8jPdz/NM9/2vQEy4t68a1GFPIAPIdz/PjwNr3fkfDPe2VXI91nb3GwWuCXCeCv1OCXulVIcXztMeFXiPv9tlCPCaO354GfPf4pYb7zUuEfgDyAQahnsbq0EdLgfygP5e4zyP5Vbg2nBvY3WoxxLLagvsr2mJQQj2xevdcg+VGP9fd/yYcG9jNajDT91yI7zG1QZWAAVA63BvYyXVY0v3C16DTAwq9Dsl7BVTHV7AG+4/oVuJ8U3djO2jMubfBGwDIkuMPz+YnaE6v8pTh0AX/PwSAZq5074J9zZW9XosUV5wfvWudg/GGu5tqy51CKwD/gKiS4xvBbwKnB3ubawGdbgN2ONj/GR3ueeGexsroQ6vAdJwzpp8F2RiUKHfKdbGIDCDgV2q+of3SFXdAqwEhvibUUTaAocBs1S1oMTkGe7Q7/yHkIOuQ5wPz004j9YuKccd1g5FkNVAeerR2z+BocDlQFYoA6wGyvN57oLzK+8TdZ4K6z3/OlUdq6rvVUDMVU1598PdQJKI1C0x/jB3uDMkUVZt1+B0xT8YeD3QmSrjO8USgzKISCzOr9I1foqsA+qIiM8+p3FO1+JrflXdBmQDHcoZZpVW3jpU1U2q+pCqfuFj8pnucGm5A63iQrAvepbTHHgQeElVvw9pkFVcCOqwmztcKiKniMjPbsOvLSLyaE1oCBui/fBZIBJ4U0TaiUiiiFwMjAUWAD+ELuIq6wqgl6r+EuR8Ff6dYolB2eq5w31+pqe6w2Q/01PKmD+tlHkPFeWtQ59EpBFwl/u2JnSgEqp6fA7nOuT1IYipuilvHTZ1h6cBn7vLeRbntO61wFcHc3dINVPu/VBVnwauBI4FVuEcB1/C+cV7vI9fwoccVZ1+kNtZ4d8plhiUzfMhz/Ez3TM+rhzz+5v3UFHeOjyAiCTjHJgbAU+p6tyDD6/aKHc9isgY4GSclsv7QhdatVHeOvScERgOXK6qp6rqtcDhOA3xjsb5wjuUhWI/HAD8B8gFpgJP4TQwPg64W0QkNKEekir8O8USg7J5rr/G+Jke6w4zyzG/v3kPFeWtw2LcU5TfA32Bz3BuuasJylWP7hmWx4EPVfV/IY6tuijvvljoDn9X1Rc8I91ffje4b88pV4RVX3n3wyScpD4R6KOqF6nqBKAX8D+cxOpfIYv20FPh3ymWGJQtFedg4O/UTLJXOV/2lihXUlIp8x4qyluHRdyGN7OBPsAnwD9UNT8UQVYD5a3HKTjXdceHOK7qpLx16Bm/oOQEVV2Pc3q3bclph5jy1uHpOJcjnlLVlZ6RqprL3/vm2PKHeciq8O+UqPLMXBOoaq6IrAda+ynSGqd17h4/01d6lStGRJrgnPJZUe5Aq7AQ1CEAItILmA40xLlf+tIalBSEoh5HusMtvs7Uur0frlfVVuWNtaoKQR2ucof+fq1F8feB+5AUgjps7g6X+1j2DhHZBbQof6SHrAr/TrEzBoH5CWgsIsVaeopIU6A9zi9Yn1R1A7ABOFpEStb3UHfod/5DyEHXoVuuHfA1TlLwGDCuJiUFXspTj3f6eW33mv5EiOOtispTh3NxruEOEZHIEvN3wrltdnFow62SylOHnv3tgJbz7u2LKTiNOY0PlfKdEu5OHqrDC6dBjALvAxHuuGB6+brHLfdvr3GeXqr2Aw3CvY1VuQ5xEtjf3HJPhHtbqms9lrLMhdSsDo7K+3me6pa71WtcNM6lLQVOD/c2VuU6xEnuM3H6KmjjNT4SeMWd/6Zwb2Ml1+dYguvgqEK/U+yxywESkbeBc3F+MczA6RJ0EM4H4xz1fDJEJgOo6mSveZOAeTiZ9Ac495+OBNoAV6vqfytrO8LpYOtQRM7CaZSUg/OMBF9nCrap6rMVuwVVQ3n2RT/LWwj0VNUa0xK8nJ/nhsDPQDvgW2ARzm13vYB3VPW8StqMsCpnHY4DXsRJEN7HaZsxDOcZCj8AJ6qqv1b3hxwRGYuTFE1U1SdKTJsMlfydEu5Mqbq8cH4RTHL/Adk413kmAbElyik+fn3h3Fb3ErAD58MwHzgv3NtVHeoQ5/S2lvFaGO7tq+r1WMryFgZS7lB6heDznAI8CWx05/8T566EyIqOvaq8QlCHx+C0GdqHk/QvB24rOX9NeFHKGYNwfKfYGQNjjDHGFLHGh8YYY4wpYomBMcYYY4pYYmCMMcaYIpYYGGOMMaaIJQbGGGOMKWKJgTHGGGOKWGJgjDHGmCKWGARBRL4UERWRz0O0vDgRua7EuFfddfQKxTpMcEQkUkSuEpFaXuMmu/+TEe77Vu77j0K8bnV7IawSRGSoG9MTJcafICKHl2O51Xa/F5GxbpzXVNL6FroPt6qRRGSEW9+TvcZVi33lYIlIL3f7Xg1XDPZ0xQCJSGPgeJx+qE8UkWaquqmci/0B6Ag8Wt74TMi8CZwDTPMaN9Md/lnp0YTXOpwHK/3qGSEi/wKeAc7EeX7FwfC133/krq+qPzxnISXqxFS6j6ge+0q1ZYlB4C7EecjHQ8BkYBxwdzmX2aic85vQO+B/oqoz+Ts5qDFUdR3Ovu4tFPusrzr+COeAX6Wp6kKc5MCESXXZV6ozu5QQuDE4z1l/CEgFLhZfD7U3xhhjqjFLDAIgIj2AHsC3qpqFk622wnn0qHc5v9cfRWSmO62O5xo10BJI9nM9qY6IPC0iW0UkS0QWiMjZPpYbKyK3iMgyEckRkd0i8rGI9PMT29kiMl1EskVkvYi08bPNnuvo97jzLHXjWCEi1/l4Djgi0kdEPnJjyHKvj/6zZALl2V437n3ua6LX9HEiMkdE0kVkm7vMHj7Wd7aI/CIiGSKSJiLficgxfrZjsoicLiJz3dh2iMgLIlLfOy5giPt2r4jMdMcXa2Pgj4jEiMh/3P9FtruON/zVcSnLGexuf7aIbBCRB0Wkttf0l9x4jvMzr4rIPQGsp9R6lhJtDNz6uMOd/KH3tW8RqS0ik9z/ebob+yoReUjc9hql7ffi57qxiJwrIj+LSKb7f/5FRA54eqHXPjVQnM9ahojsFZF3RKRVibKN3Dpc7ca5RUReF5F2AdTZAZ9xEVnnrrOziHwqIqluHXwhIj3LWqa7jHgRuc9dVpaI/Coig0spP0xEvnHXlSkis0XkHz7KtRORd8X5rOe4y39GnEujJcsOFpHPRGSXu9xfROQMH+UC/ZwHVS8iMkicz3CqiGwXkUeBeB/liu0rEsRn3GsZ/3DLZYjIZhF5QESOc5cz1l+9e80fkuOuiPRw59vj7q8vA/X8rDOg44v8fbw6VpzPd444x+3avpbrU7ifKlUdXjjXQhUY6b4/yX3/ThBPyJrpTqvjvibjPFUs2/17hFvuVbfcdmA98DjO40mzKPGsdyAOmOWOX4zzFMK33WXmAmf4iG0bsADnzMf7pWxzK7f8fKAQ51nzj+M8QU2BV0uUP9ldb5q7DQ+5MSnwfImynjhScZ5Q9w5wpDvtOXf6Opxr2S/itOtIB3p4LeMut9xfwH+Bp91lFgCj/GxHAfAx8CDwuzv+W6+yk931KvAAMNZrvHr9jzzL/Mhr3mjgO3f8HJzHQ09162Q30C2A/UxxzkplA9+7y5jnjv8JiHLLDXHHvexjGc+70zqVsa4y6xkY6pZ5wmsfmumOexuY7I6PwrnmXgh86dbvM8Amt+z7brk6lL3f9/KK8RF33FbgBfe11R33oI+6W4zzlL7vcPa/H9zxK4EIr8/MAiAPZ7+7H3gX51HeO4B6ZdTbWEp8xt06XAPscf/3DwOfuuX2AIllLDPCq17nAI/hfK6z3fm1RPlL3bre7v6/H3PXr8AtXuUa4BxDMoHX3G393C23HIj2KjvKrYM04HWcz/pGt+zFB/k5D7hecI6pue5yX3H/17u9/t+TvcoW21cI4jPulp/gjt/C3/t+plcdji3j/xWS4y7OY7rT3HneBKbgfGY82/yq13ICPr7w9/FqG85+9QjwXFnHn2LbGEzhmvjCaVew1f0HxnmN245zEKrvYye4xsdyZrrT6pT44OwrUc6z088HanuNH+GO/9hr3CR33Cu4Xxru+L44B/m9QFKJ2DYCCQFst+fDpsD1XuNrAbPd8UPdcQk4B9UdQCuvshHAe27ZU7zGe5Z7Wol1DnPH/+iJ2x0/EDc5cd/3d9/P8N4WnEfhrsL5kDfwsR1ne5WNBv5wx7ct4//k+aCNKLHMj7zK3OCOexCcp5a64/vhfPDnBlDnnjgfK7H/TXPHX+aOE5yEaB9ej6gFYnAOuKWuK4h6HopXYuCrLtxx57nj7imxnkScg1N+if/TOvzv973c94Pc9ws8/0t3fANgiTttsI+6u8FrnOA81leBYe644e77O0us/3p3/Pgy6m4svhMDxUlQvf/3niTt4jKWOc4t9xJuAuOOf8izXV7jmuF8GSwDUrzGxwM/43wxdnPHXeXOP67E+v7rjj/VfV/X3Zd2AB28ytUHNgO7cD4vwX7OA6oXnH18LU5S6v0F19bdf5TAEoMyP+Nu/e0HVgONvMr2xvmcKmUnBiE57uIkrvm4+6bX/r2UAxODgI8v/P0Zneu9PwXzsksJZTseaAx8qKrZAKpagPNBiAFGV9B6n1DVDK/3n+MctL1PG43F2RH/rar5npGqOh8n+6wDnFViuV+o6v4g4liPkxF7lp2J88x0cBpkApyOs0M/pE6DNU/ZQuA/7ttxJZabBXxRYtz57vBmVU3zWs4v7nI+c0ddjHPQv8F7W1R1N84HJwHnzgJva1X1Pa+yecC37tv2lN8lOGdAblP30+muZx7OL9LDRaRrAMtJw6vBn7uveQ4KF7rjFOdXXTJwite8p+Ic5F8vYx2B1nOgFuD8in3ce6SqprvTIvFzerQUY93h9aq602uZO4Gb3bcXl5gnC+cMlKes4pzBAOjgDj3HvD4i4n2a+hmghTs8WA96/+/5e//u4Kuwl/Nx/r//cT8zHpNw9ilvo4BY4HZ3fwdAnUucd+Bs30XuaM+2DhCRSK9l3Ao0UVXPbden4OxLT6jqSq9l7gIm4iQotTm4zzmUXS9HAK2B11T1D6/lrqHEPlWGQD7j5+AkUfep6navsr/jJByBGEs5j7si0hQYDHylqt97LWMnztnQkg7m+PJhif0pYHZXQtnGuMO3Sox/AxiPjwNiiKzyfqOqeSKSjvMBRUQScZKEn90DcEk/4fwK6lli/Log4/jZe+d3zXGHnmX39QzF635jLwU4p828bXS/9Lz1dMsecBucqj7o9dazvpEiMrxE0WbusOT6VnIgz0E31se0gLnX7jri/Lq5VQ5sk+q5ntsL59dAaZZ4f1kDqOpWEdlE8f/lVJwvjguAD91xF+L8Anm7jHUEWs8Bcb9MVorTP8EROAf8djj/p6FusUg/s/vTCycR/snHNM+4kvv2elXNLTGu5P/4W5xfp8OBbSLyLU7y8JmqbgwyRm/ZPuYPdP/qCWxQ1R3eI1U1R0Tm45zh8fDs+8eKSLcSy/FcQ+7lDt8HbgcuB84Skek42/qFqnrf6uepx9klA1PVdz1/i8jBfM4DqRfP+uf5WOYvPsb5E8hn3NP/xlwfZX8GLittBSE87ga8zeU4vpRcZ8AsMSiFuxOMcN9+6eMfAtBFRI5U1QM+VOWU7S8sd5jkDkv+ovDY4g4TSozPCjKOzSVHqGqGiOzH+ZUBToYMzillf0r+YvQVR10gy830S+NZ382llCm5vhwfZTyZd3nvLvHUQ2P+bpwXSEy+bPczPh1o4nmjqqtFZDYw3N1PI3C+7L7y/oXtR6D1HBBxGqL+B7jOXTY4p5t/wTk4dSb4Ok7C+VIp+UWPqqa6+1/JfbvM/7Gq7heRATi/ms/B+WV3FlAoIh8AV6jqniBjDWjdpaiLU1++lIyljjv8ZynLqwegqlvE6YjqNpzj2IXuK1ecRp8T3LOgnv9Z2oGL8rnuYD7ngdSLZ/2+vmiD+V8Esi5PQ0RffSBs8TGupFAdd4PZ5oM9vgR7rC9iiUHpzsY57fQbzinRkjri/CK6lL+vu4PvA0HJHaW8PDtUUz/TPTvebj/TA+WrVXCsO36XO8pzyeNY79NiByEDiBeRqJJnKUQkwetUXAbOr5P4UH25lZNn+2epqt+W5AGq42d8Uw48YLwGHAmchvNZjsU5k1CWQOs5UNcB9+C0z3gQWOj5RSoiX+IkBsFKBxJEJFlVix2ERSQOZ/87qH3bTZyuEedOmB7AiThnBv+Bc5bi3INZbjns5e+Df0klW5J79rW2qrq2rAWr6l/AJSJyOc716JNwTvdfjtOu4CavZSaWnN/9rBe4+0moPucl7XWHvuog8Jb0gfEkP0n8ffzCa1xZQnXcDWabQ3l8CYi1MSid5zLCtar6z5IvnGt5hcC57q82z6+bYv9Y9zYeX7esqY9xAXFPN/8FdBSRBj6KeHagsk5dl8VX17dH4CQ/nksKi91hv5IFRaSeiDwhIqMCWNcSnFPOfXxM+1ic2xoT3PVF4jQYKrm+I91bjwYFsD5fgv6fuF9cG4CuJa5be2Ia495C1CqAxfUSkegS83fCSRjmlyj7Ds6vpNNwzhak4rT6Lkug9eyLr/q5ACdRO0NVv/JKCgTo5NmMMpZR0kJ36Ov/eLS7vKD3bXFuyXtSRNqqY5GqPoTToDXDz/oq2nyguYi0KBGrr328tM9aexF5REROc9+fLs6tiUmqWqCqc1T1Tv7eRs9wiTvs7yO264EsERlSxrqD+ZyX5Nmvj/Ix7YB1lZNnXb629YiyZg7hcfd3nM9Bmdsc4uNLQCwx8ENEWuL8k9fhXHs6gKpuwLmtrBbO6TVPl7knl2js8y+cFvMl5eG0nD1Yr+L8cnpcRIrO/ohIH+BqnF8EgXxRlOYIESn6BeUmQPfjJESvuaM/xMnEbxKRkg2tHsK5PajMe8T5uxvie7w/ACJyJM6ZmV/cX7OvupMeF5Ekr3KJwP/h/AoK9pq2h+cMREyQ872KcyrvAfHq40FEuuC0yr6WwE6L1gOu8Zo/Bud2I4CXvQuq6j6c/+9JwAnAe54GsmUItJ598VU/2Tj1XfJAeRtOi3Eovp8Hst+/6g7v9z4Au38/7L4tq5GlL42Bf+Oc5fDWCOeztP4glller7rDx0okhTdwYC+R03CSsHvFqy8C9/P/NM52eY41nXCOPSUvO7Ryh55t/QjnTp5/u8c9zzLrAVfg/Er+ldB9zkv6DecuiwtFZKDX+ptw4P+pvN7A+QF3qxTvw6QrzlmUQLxKOY+7bvL8FTBMREZ6LSMJ35cLXiU0x5fA6EHcylATXjgHNQXuLaPcBW65Oe57z33ns3Huhf8c58D5KwfeBjfDHTcNGKM+bsUpsa59wDqv93E4SYvy9/20b+FcW8rG9/201wS4/a3c8ntwDkT/w2nx7bnX964S5c/GOeBnutvzEE4DH89tM963XirO6WZf633Jnb4SeArnlqAsN47WXuWe5O/bgJ51329wx/2fj+34yMe6JnPgrXevuOM+w2l1fEA5X8vEOVB4/scLcO4tfxnnoFoIXBBAnStOIpqHcy/2o/x9a95bfubx3H6neN2+F8C6yqxnfN+ueJHX/na/uw+Od8dtc5f1CM4vM8VpM6G4/VQEs9/zd/8hW3FucXse5xquAg/4qLsD9ilK7Pc4Cc0v7rhZOPvpszinlfOBE8qot2LLc8eto8Ttl/7qr5TlvutVr48DX7vxrMPrdkW37LVu2d3uPvYozher4nwhefq7qItzW57i3AnwgFs+w3159wviOfu5xy3zlFddn3mQn/OA6wXn13o6znFrGs7dIdu84p/sVbbYvkLwn/Gb3HGb3fW86tbHTnf86DL+VyE57uKcRfb0veI5vq712uZXD+b44mubg30d1Ew14YXz61+BzgHsJHvdst1xfpG8inOgycS5V3Wgu/OUTAz649xnmwN842unL7GufXglBl47zCQ33hycA/G7QO8S5fzuoH62q+jDhtNIayXOLTrz8epAqMQ8R+J0hLTb/ZAsx7n1JqlEudISA8H5lbPQ/ZDtAz7AR4c9OLdu/eLWcyrOgWkcxe8FL9oOH/Mf8AHC+cXzq1uXK32V87dM939xO85BOtv9X3wFDAmwzj31fQqwyI1hDXAjEOlnniicX3Hr8Lq/OYB1lVnP+D6Ax+FcwvDUeUd3WVfhnD7dj/OFMhPnLNoZ7jLuPpj9Hqex3Gx3ffvc5Z7lp+4O2Kfw/UVeF+dL8k833j04CfxRAdSbr+Wto/yJQaT7f17p/j8W41wi+ogSiYFb/hScDm9Scb7UFuEkDLElyh2G8+W32l3uDpzjQ1cfyzzOXWYazuf3F7z6JTiIz3lQ9YLT3uMT9/+8F6fjocGEODFwx49z6ywbJ0G4G+dMkuJ2ZFfG/yskx1039jdwkpJ0nAShCyUSg2COL/62OZiXuAsyphj3etVfOB0qjQhvNMYfEemIc3C6R1UnhTseY6oyEUnBOaNywN0/InInzhfvEarq63bGGsPaGBhTTbmN+ybhnEp8uYzixhg4Bqf/iju8R7rtDcbinKlYFIa4qhS7XdGYasZtkLgA506Fw3CemfBXWIMypnr4CucSx+1uHw9LcC4tnYnTx8FFquqrP4QaxRIDY6oZVc0VkVycA9o7OK3BjTFlUKdztoE47TmGA8fitNGYBzysoe2fodqyNgbGGGOMKWJtDIwxxhhTxBIDY4wxxhSxxMAYY4wxRSwxMMYYY0wRSwyMMcYYU8QSA2OMMcYU+X9A7zG3Zz/lkwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 576x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"cits = df[citenum].sort_values(ascending=False).tolist()\n",
"dff = pd.DataFrame(cits, columns = ['citations'])\n",
"dff['pdf'] = dff['citations'] / sum(dff['citations'])\n",
"dff['cdf'] = dff['pdf'].cumsum()\n",
"dff['ccdf'] = 1 - dff['cdf']\n",
"dff = dff.reset_index()\n",
"dff['rank'] = (dff['index'] + 1)/dff.shape[0]\n",
"ax = dff.plot(x = 'rank', y = 'cdf', grid=True, label='OpenAlex')\n",
"ax.set_xlabel('Author percentile by citations in descending order')\n",
"ax.set_ylabel('CDF of citations')\n",
"#####\n",
"cits = df[gcitenum].dropna().sort_values(ascending=False).tolist()\n",
"dff = pd.DataFrame(cits, columns = ['citations'])\n",
"dff['pdf'] = dff['citations'] / sum(dff['citations'])\n",
"dff['cdf'] = dff['pdf'].cumsum()\n",
"dff['ccdf'] = 1 - dff['cdf']\n",
"dff = dff.reset_index()\n",
"dff['rank'] = (dff['index'] + 1)/dff.shape[0]\n",
"g = dff.plot(x = 'rank', y = 'cdf', grid=True, ax = ax, label='Google Scholar')\n",
"g.set_xlabel('Author percentile by citations in descending order')"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "5d859ad7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1008x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"f, axs = plt.subplots(1,2,\n",
" figsize=(14,5),\n",
" sharex=False,\n",
" sharey=False,)\n",
"\n",
"##### Percentile\n",
"## OpenAlex\n",
"cits = df[citenum].sort_values(ascending=False).tolist()\n",
"dff = pd.DataFrame(cits, columns = ['citations'])\n",
"dff['pdf'] = dff['citations'] / sum(dff['citations'])\n",
"dff['cdf'] = dff['pdf'].cumsum()\n",
"dff['ccdf'] = 1 - dff['cdf']\n",
"dff = dff.reset_index()\n",
"dff['rank'] = (dff['index'] + 1)/dff.shape[0]\n",
"g2 = dff.plot(x = 'rank', y = 'cdf', grid=True, label='OpenAlex', ax=axs[0])\n",
"# g2.set_xlabel('Paper percentile by citations (from high to low)')\n",
"g2.set_ylabel('Cumulative citation share')\n",
"\n",
"### Google Scholar\n",
"cits = df[gcitenum].dropna().sort_values(ascending=False).tolist()\n",
"dff = pd.DataFrame(cits, columns = ['citations'])\n",
"dff['pdf'] = dff['citations'] / sum(dff['citations'])\n",
"dff['cdf'] = dff['pdf'].cumsum()\n",
"dff['ccdf'] = 1 - dff['cdf']\n",
"dff = dff.reset_index()\n",
"dff['rank'] = (dff['index'] + 1)/dff.shape[0]\n",
"g2_2 = dff.plot(x = 'rank', y = 'cdf', grid=True, ax = g2, label='Google Scholar')\n",
"g2_2.set_xlabel('Paper rank')\n",
"g2_2.text(-0.1, 1.05, 'a', transform=g2_2.transAxes, \n",
" size=25, weight='bold')\n",
"\n",
"###### Conference tracks\n",
"g3 = sns.violinplot(x='Conference', y=citenum, data = df, palette=\"Set2\", ax=axs[1])\n",
"g3.set_yscale(\"log\")\n",
"g3.set_xlabel('Conference track')\n",
"g3.text(-0.1, 1.05, 'b', transform=g3.transAxes, \n",
" size=25, weight='bold')\n",
"\n",
"##### Save fig\n",
"f.savefig('../results/figures/citation_distributions.png', dpi=150)\n",
"f.savefig('../results/figures/citation_distributions.pdf', dpi=150)"
]
},
{
"cell_type": "markdown",
"id": "572f6584",
"metadata": {},
"source": [
"## Statistical analysis"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "a018dd5a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.9482147024765624"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.corr(method = 'spearman').at[citenum, gcitenum]"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "7c31204c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cross-type Collaboration\n",
"No 51.404058\n",
"Yes 45.403487\n",
"Name: Number of Citations, dtype: float64\n",
"Cross-country Collaboration\n",
"No 51.964271\n",
"Yes 42.870654\n",
"Name: Number of Citations, dtype: float64\n",
"With US Authors\n",
"No 46.481238\n",
"Yes 51.618263\n",
"Name: Number of Citations, dtype: float64\n",
"Award\n",
"No 48.386831\n",
"Yes 77.246753\n",
"Name: Number of Citations, dtype: float64\n",
"PaperType\n",
"Con. 50.188946\n",
"Jor. 49.470277\n",
"Name: Number of Citations, dtype: float64\n"
]
}
],
"source": [
"for var in vars:\n",
" average = df.groupby(var)[citenum].mean()\n",
" print(average)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "ac5e1f61",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cross-type Collaboration\n",
"U: 906271.0\n",
"0.855543\n",
"──────────────────────────────\n",
"Cross-country Collaboration\n",
"U: 822967.5\n",
"0.285401\n",
"──────────────────────────────\n",
"With US Authors\n",
"U: 1058846.0\n",
"0.691245\n",
"──────────────────────────────\n",
"Award\n",
"U: 293819.5\n",
"0.000000\n",
"──────────────────────────────\n",
"PaperType\n",
"U: 1201856.0\n",
"0.329034\n",
"──────────────────────────────\n"
]
}
],
"source": [
"for var in vars:\n",
" cat1 = df[df[var].isin(['Yes', 'Jor.'])]\n",
" cat2 = df[df[var].isin(['No', 'Con.'])]\n",
" U, p = mannwhitneyu(cat1[citenum].tolist(), cat2[citenum].tolist())\n",
" print(f'{var}')\n",
" print(f'U: {U}')\n",
" print(format(p, 'f'))\n",
" print('─' * 30)"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "2a087388",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Google Scholar\n",
"Cross-type Collaboration\n",
"U: 878433.5\n",
"0.141072\n",
"──────────────────────────────\n",
"Cross-country Collaboration\n",
"U: 783863.0\n",
"0.003194\n",
"──────────────────────────────\n",
"With US Authors\n",
"U: 1073364.0\n",
"0.822951\n",
"──────────────────────────────\n",
"Award\n",
"U: 290199.5\n",
"0.000000\n",
"──────────────────────────────\n",
"PaperType\n",
"U: 1078280.5\n",
"0.000050\n",
"──────────────────────────────\n"
]
}
],
"source": [
"print('Google Scholar')\n",
"for var in vars:\n",
" cat1 = df[df[var].isin(['Yes', 'Jor.'])]\n",
" cat2 = df[df[var].isin(['No', 'Con.'])]\n",
" U, p = mannwhitneyu(cat1[gcitenum].dropna().tolist(), cat2[gcitenum].dropna().tolist())\n",
" print(f'{var}')\n",
" print(f'U: {U}')\n",
" print(format(p, 'f'))\n",
" print('─' * 30)"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "e6e74fd9",
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cross-type Collaboration\n",
"No 51.404058\n",
"Yes 45.403487\n",
"Name: Number of Citations, dtype: float64\n",
"Cross-country Collaboration\n",
"No 51.964271\n",
"Yes 42.870654\n",
"Name: Number of Citations, dtype: float64\n",
"With US Authors\n",
"No 46.481238\n",
"Yes 51.618263\n",
"Name: Number of Citations, dtype: float64\n",
"Award\n",
"No 48.386831\n",
"Yes 77.246753\n",
"Name: Number of Citations, dtype: float64\n",
"PaperType\n",
"Con. 50.188946\n",
"Jor. 49.470277\n",
"Name: Number of Citations, dtype: float64\n"
]
}
],
"source": [
"for var in vars:\n",
" average = df.groupby(var)[citenum].mean()\n",
" print(average)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
