Created
June 6, 2015 06:15
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Retrieve article level metrics for a PLOS article and visualize views over time.
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Measuring increased interest in oxygen-driven tumorigenesis through article viewcounts\n", | |
| "\n", | |
| "Here we visualize the article view counts for the article [*Ambient oxygen promotes tumorigenesis*](//dx.doi.org/10.1371/journal.pone.0019785). We speculate the recent spike in views resulted from increased interest in oxygen-driven tumorigenesis due to [our study on elevation and lung cancer](//dx.doi.org/10.7717/peerj.705)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import requests\n", | |
| "import pandas\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "import seaborn\n", | |
| "import IPython.display" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "%matplotlib inline" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Read view data using plos API call\n", | |
| "url = 'http://alm.plos.org/api/v3/articles?api_key=3pezRBRXdyzYW6ztfwft&ids=10.1371%2Fjournal.pone.0019785&source=pmc,counter,relativemetric,figshare&info=event'\n", | |
| "response = requests.get(url)\n", | |
| "alms = response.json()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Convert views into a dataframe\n", | |
| "events_list = alms[0]['sources'][0]['events']\n", | |
| "view_df = pandas.DataFrame(events_list)\n", | |
| "for column in ['html_views', 'pdf_views', 'xml_views']:\n", | |
| " view_df[column] = view_df[column].astype(int)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Convert dates into time periods\n", | |
| "period_strings = view_df.year + '-' + view_df.month\n", | |
| "view_df['period'] = [pandas.Period(p) for p in period_strings]\n", | |
| "view_df = view_df.drop(['year', 'month'], axis=1)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Calculate combined view counts\n", | |
| "view_df['human_views'] = view_df.html_views + view_df.pdf_views\n", | |
| "view_df['all_views'] = view_df.html_views + view_df.pdf_views + view_df.xml_views" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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G+fLly3XXXXfpf/7nf5SSkqK//e1vKigoCEXfAABAAJYOrSclJenNN99URkaGYmNjVVNT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\n5crJydHq1asDXinaFI/Ho1t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mjWpqakLRRQBn4WI3oBVyuVxN7il37txZ8+fP1/Tp01VT\nU6Pu3btr4cKFTbbTr18/LV26VAkJCf51Z9cBCA7utQ4AgINxaB0AAAcjyAEAcDCCHAAAByPIAQBw\nMIIcAAAHI8gBAHAwghwAAAf7/wCbLBlFEN7swwAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7f90916484e0>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# Plot view counts\n", | |
| "plt.figure(num=None, figsize=(8, 6.5), facecolor='w', edgecolor='k');\n", | |
| "\n", | |
| "botcol, topcol = seaborn.color_palette(\"BrBG\", 2)\n", | |
| "\n", | |
| "seaborn.barplot(x = 'period', y = 'human_views', data=view_df, color = topcol);\n", | |
| "seaborn.barplot(x = 'period', y = 'html_views', data=view_df, color = botcol);\n", | |
| "\n", | |
| "plt.xticks(rotation=90) \n", | |
| "plt.xlabel('month');\n", | |
| "plt.ylabel('views');\n", | |
| "\n", | |
| "topbar = plt.Rectangle((0, 0), 1, 1, fc=topcol, edgecolor = 'none')\n", | |
| "botbar = plt.Rectangle((0, 0), 1, 1, fc=botcol, edgecolor = 'none')\n", | |
| "l = plt.legend([botbar, topbar], ['html', 'pdf'], loc=2, ncol = 1)\n", | |
| "l.draw_frame(False)\n", | |
| "\n", | |
| "plt.savefig('sung-views.png', pad_inches=0, dpi=300); plt.savefig('sung-views.svg', pad_inches=0)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>html_views</th>\n", | |
| " <th>pdf_views</th>\n", | |
| " <th>xml_views</th>\n", | |
| " <th>period</th>\n", | |
| " <th>human_views</th>\n", | |
| " <th>all_views</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>201</td>\n", | |
| " <td>69</td>\n", | |
| " <td>7</td>\n", | |
| " <td>2011-05</td>\n", | |
| " <td>270</td>\n", | |
| " <td>277</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>51</td>\n", | |
| " <td>19</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2011-06</td>\n", | |
| " <td>70</td>\n", | |
| " <td>71</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>23</td>\n", | |
| " <td>10</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2011-07</td>\n", | |
| " <td>33</td>\n", | |
| " <td>33</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>23</td>\n", | |
| " <td>10</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2011-08</td>\n", | |
| " <td>33</td>\n", | |
| " <td>33</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>41</td>\n", | |
| " <td>17</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2011-09</td>\n", | |
| " <td>58</td>\n", | |
| " <td>58</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5</th>\n", | |
| " <td>17</td>\n", | |
| " <td>4</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2011-10</td>\n", | |
| " <td>21</td>\n", | |
| " <td>21</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>6</th>\n", | |
| " <td>30</td>\n", | |
| " <td>13</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2011-11</td>\n", | |
| " <td>43</td>\n", | |
| " <td>47</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7</th>\n", | |
| " <td>24</td>\n", | |
| " <td>6</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2011-12</td>\n", | |
| " <td>30</td>\n", | |
| " <td>30</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>8</th>\n", | |
| " <td>22</td>\n", | |
| " <td>5</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-01</td>\n", | |
| " <td>27</td>\n", | |
| " <td>27</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>9</th>\n", | |
| " <td>26</td>\n", | |
| " <td>12</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-02</td>\n", | |
| " <td>38</td>\n", | |
| " <td>38</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>10</th>\n", | |
| " <td>20</td>\n", | |
| " <td>4</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2012-03</td>\n", | |
| " <td>24</td>\n", | |
| " <td>25</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>11</th>\n", | |
| " <td>15</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2012-04</td>\n", | |
| " <td>20</td>\n", | |
| " <td>21</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>12</th>\n", | |
| " <td>26</td>\n", | |
| " <td>8</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-05</td>\n", | |
| " <td>34</td>\n", | |
| " <td>34</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>13</th>\n", | |
| " <td>25</td>\n", | |
| " <td>10</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-06</td>\n", | |
| " <td>35</td>\n", | |
| " <td>35</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>14</th>\n", | |
| " <td>19</td>\n", | |
| " <td>5</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-07</td>\n", | |
| " <td>24</td>\n", | |
| " <td>24</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>15</th>\n", | |
| " <td>12</td>\n", | |
| " <td>7</td>\n", | |
| " <td>5</td>\n", | |
| " <td>2012-08</td>\n", | |
| " <td>19</td>\n", | |
| " <td>24</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>16</th>\n", | |
| " <td>25</td>\n", | |
| " <td>9</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-09</td>\n", | |
| " <td>34</td>\n", | |
| " <td>34</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>17</th>\n", | |
| " <td>36</td>\n", | |
| " <td>9</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-10</td>\n", | |
| " <td>45</td>\n", | |
| " <td>45</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>18</th>\n", | |
| " <td>32</td>\n", | |
| " <td>2</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-11</td>\n", | |
| " <td>34</td>\n", | |
| " <td>34</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>19</th>\n", | |
| " <td>28</td>\n", | |
| " <td>12</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2012-12</td>\n", | |
| " <td>40</td>\n", | |
| " <td>40</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>20</th>\n", | |
| " <td>24</td>\n", | |
| " <td>3</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-01</td>\n", | |
| " <td>27</td>\n", | |
| " <td>27</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>21</th>\n", | |
| " <td>17</td>\n", | |
| " <td>5</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2013-02</td>\n", | |
| " <td>22</td>\n", | |
| " <td>23</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>22</th>\n", | |
| " <td>33</td>\n", | |
| " <td>14</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-03</td>\n", | |
| " <td>47</td>\n", | |
| " <td>47</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>23</th>\n", | |
| " <td>17</td>\n", | |
| " <td>7</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-04</td>\n", | |
| " <td>24</td>\n", | |
| " <td>24</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>24</th>\n", | |
| " <td>13</td>\n", | |
| " <td>9</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-05</td>\n", | |
| " <td>22</td>\n", | |
| " <td>22</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>25</th>\n", | |
| " <td>40</td>\n", | |
| " <td>5</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-06</td>\n", | |
| " <td>45</td>\n", | |
| " <td>45</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>26</th>\n", | |
| " <td>18</td>\n", | |
| " <td>6</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-07</td>\n", | |
| " <td>24</td>\n", | |
| " <td>24</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>27</th>\n", | |
| " <td>19</td>\n", | |
| " <td>3</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-08</td>\n", | |
| " <td>22</td>\n", | |
| " <td>22</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>28</th>\n", | |
| " <td>16</td>\n", | |
| " <td>2</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-09</td>\n", | |
| " <td>18</td>\n", | |
| " <td>18</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>29</th>\n", | |
| " <td>30</td>\n", | |
| " <td>2</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2013-10</td>\n", | |
| " <td>32</td>\n", | |
| " <td>33</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>30</th>\n", | |
| " <td>29</td>\n", | |
| " <td>4</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-11</td>\n", | |
| " <td>33</td>\n", | |
| " <td>33</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>31</th>\n", | |
| " <td>27</td>\n", | |
| " <td>3</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2013-12</td>\n", | |
| " <td>30</td>\n", | |
| " <td>30</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>32</th>\n", | |
| " <td>38</td>\n", | |
| " <td>10</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2014-01</td>\n", | |
| " <td>48</td>\n", | |
| " <td>48</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>33</th>\n", | |
| " <td>19</td>\n", | |
| " <td>3</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2014-02</td>\n", | |
| " <td>22</td>\n", | |
| " <td>22</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>34</th>\n", | |
| " <td>20</td>\n", | |
| " <td>1</td>\n", | |
| " <td>14</td>\n", | |
| " <td>2014-03</td>\n", | |
| " <td>21</td>\n", | |
| " <td>35</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>35</th>\n", | |
| " <td>36</td>\n", | |
| " <td>8</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2014-04</td>\n", | |
| " <td>44</td>\n", | |
| " <td>47</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>36</th>\n", | |
| " <td>23</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2014-05</td>\n", | |
| " <td>24</td>\n", | |
| " <td>24</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>37</th>\n", | |
| " <td>28</td>\n", | |
| " <td>2</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2014-06</td>\n", | |
| " <td>30</td>\n", | |
| " <td>30</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>38</th>\n", | |
| " <td>26</td>\n", | |
| " <td>1</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2014-07</td>\n", | |
| " <td>27</td>\n", | |
| " <td>27</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>39</th>\n", | |
| " <td>22</td>\n", | |
| " <td>3</td>\n", | |
| " <td>2</td>\n", | |
| " <td>2014-08</td>\n", | |
| " <td>25</td>\n", | |
| " <td>27</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>40</th>\n", | |
| " <td>19</td>\n", | |
| " <td>1</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2014-09</td>\n", | |
| " <td>20</td>\n", | |
| " <td>21</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>41</th>\n", | |
| " <td>120</td>\n", | |
| " <td>1</td>\n", | |
| " <td>6</td>\n", | |
| " <td>2014-10</td>\n", | |
| " <td>121</td>\n", | |
| " <td>127</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>42</th>\n", | |
| " <td>774</td>\n", | |
| " <td>0</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2014-11</td>\n", | |
| " <td>774</td>\n", | |
| " <td>775</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>43</th>\n", | |
| " <td>543</td>\n", | |
| " <td>4</td>\n", | |
| " <td>2</td>\n", | |
| " <td>2014-12</td>\n", | |
| " <td>547</td>\n", | |
| " <td>549</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>44</th>\n", | |
| " <td>786</td>\n", | |
| " <td>5</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2015-01</td>\n", | |
| " <td>791</td>\n", | |
| " <td>791</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>45</th>\n", | |
| " <td>193</td>\n", | |
| " <td>3</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2015-02</td>\n", | |
| " <td>196</td>\n", | |
| " <td>196</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>46</th>\n", | |
| " <td>28</td>\n", | |
| " <td>5</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2015-03</td>\n", | |
| " <td>33</td>\n", | |
| " <td>33</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>47</th>\n", | |
| " <td>24</td>\n", | |
| " <td>3</td>\n", | |
| " <td>1</td>\n", | |
| " <td>2015-04</td>\n", | |
| " <td>27</td>\n", | |
| " <td>28</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>48</th>\n", | |
| " <td>9</td>\n", | |
| " <td>5</td>\n", | |
| " <td>0</td>\n", | |
| " <td>2015-05</td>\n", | |
| " <td>14</td>\n", | |
| " <td>14</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>" | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.HTML object>" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "# Print dataframe for reference\n", | |
| "html = view_df.to_html()\n", | |
| "IPython.display.HTML(html)" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "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": "3.4.3" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 0 | |
| } |
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