{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Mining acknowledgments in ADS\n", "=============================\n", "\n", "Thomas P. Robitaille ([Homepage](http://mpia.de/~robitaille/))\n", "\n", "Twitter: [@astrofrog](https://twitter.com/astrofrog)\n", "\n", "**NOTE:** The background and results are discussed in [this blog post](http://astrofrog.github.io/blog/2013/10/02/acknowledging-tools-services-in-papers/).\n", "\n", "Comments/improvements welcome! The source for this notebook lives on [GitHub](https://github.com/astrofrog/mining_acknowledgments).\n", "\n", "This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported](http://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US) License.\n", "\n", "![license](http://i.creativecommons.org/l/by-nc-sa/3.0/88x31.png)\n", "\n", "This notebook was created using Python 3.3.\n", "\n", "Introduction\n", "------------\n", "\n", "In this notebook, I will show how we can use the [SAO/NASA ADS](http://adsabs.harvard.edu) developer API to access statistics about how often words/phrases are used in acknowledgment sections of papers. To run the notebook, you will need an ADS API developer key set in the ``ADS_DEV_KEY`` environment variable. See the [adsabs-dev-api](https://github.com/adsabs/adsabs-dev-api) repository for more details on obtaining a key.\n", "\n", "As an aside, we will make use of the [brewer2mpl](https://github.com/jiffyclub/brewer2mpl) package in order to improve the look of the plots:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import brewer2mpl\n", "mpl.rcParams['axes.color_cycle'] = brewer2mpl.get_map('Dark2', 'qualitative', 7).mpl_colors\n", "mpl.rcParams['figure.figsize'] = (9,6)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Querying the database\n", "---------------------\n", "\n", "We start off by getting the developer key from the environment variable and setting the base URL for the query:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import os\n", "DEV_KEY = os.environ['ADS_DEV_KEY']\n", "BASE_URL = 'http://adslabs.org/adsabs/api/search/'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we can start preparing an example query, which is stored as a dictionary of keyword/value pairs:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "params = {}" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `q` parameter is used to specify the query. In our case we want to query the acknowledgment section of papers, so we use the `ack:` syntax:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "params['q'] = 'ack:simbad' # searches for the word 'simbad'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We then specify which fields we want the query to return. For the purposes of this notebook, we only care about the publication date:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "params['fl'] = 'pubdate'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we set the maximum number of rows for each query and the API key:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "params['rows'] = '10' # use a small value for now\n", "params['dev_key'] = DEV_KEY" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since the results returned are split up, with a limit of 200 results for each request, we have to make the query multiple times, specifying a different starting point (which we give with the ``start`` parameter) every time. Let's start off by executing the request for ``start==0``:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import requests\n", "params['start'] = 0\n", "r = requests.get(BASE_URL, params=params)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can then parse the results (which are returned as a JSON object):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import simplejson\n", "data = simplejson.loads(r.text)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's now access the results by iterating over ``data['results']['docs']``. Each result element is a dictionary containing the requested fields and a few ohter default fields:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "data['results']['docs'][0]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 9, "text": [ "{'bibcode': '2013MNRAS.434.3423G', 'id': '9873361', 'pubdate': '2013-10-00'}" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "so we can extract all the publication dates with:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "for d in data['results']['docs']:\n", " print(d['pubdate'])" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "2013-10-00\n", "2013-10-00\n", "2013-10-00\n", "2013-10-00\n", "2013-10-00\n", "2013-10-00\n", "2013-10-00\n", "2013-10-00\n", "2013-10-00\n", "2013-10-00\n" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "These are in the YYYY-MM-DD format, but note that the day is zero in the above cases (which the API docs say is expected behavior). For the purposes of plotting these dates, we only care about the year:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "year = d['pubdate'].split('-')[0]\n", "print(year)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "2013\n" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the remainder of this notebook, we will care only about yearly statistics (due to small number statistics) but one could also repeat the same analysis on a monthly basis." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A more complete querying function\n", "---------------------------------\n", "\n", "We can now put all of the above together into a single function that returns the publication years for a given string:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import os\n", "DEV_KEY = os.environ['ADS_DEV_KEY']\n", "BASE_URL = 'http://adslabs.org/adsabs/api/search/'\n", "\n", "def query_acknowledgments(word):\n", "\n", " # Set query parameters\n", " params = {\n", " 'q': 'ack:{0:s},property:REFEREED'.format(word),\n", " 'fl': 'pubdate',\n", " 'rows': '200',\n", " 'dev_key': DEV_KEY\n", " }\n", " \n", " import requests\n", " params['start'] = 0\n", " \n", " processed = 0\n", " \n", " pub_years = []\n", " while True:\n", " \n", " # Execute the query\n", " r = requests.get(BASE_URL, params=params)\n", " \n", " # Check if anything went wrong\n", " if r.status_code != requests.codes.ok:\n", " e = simplejson.loads(r.text)\n", " sys.stderr.write(\"error retrieving results: {0:s}\\n\".format(e['error']))\n", " continue\n", " \n", " # Extract results\n", " import simplejson\n", " data = simplejson.loads(r.text)\n", " for d in data['results']['docs']:\n", " pub_years.append(float(d['pubdate'].split('-')[0]))\n", " \n", " # Update starting point\n", " params['start'] += data['meta']['count']\n", " \n", " # Check if finished\n", " if params['start'] >= data['meta']['hits']:\n", " break\n", " \n", " import numpy as np\n", " return np.array(pub_years)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now test out this function:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "pub_years = query_acknowledgments('simbad')\n", "pub_years" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ "array([ 2013., 2013., 2013., ..., 1995., 1995., 1995.])" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plotting the results\n", "--------------------\n", "\n", "We first set the years that we are going to make plots for:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "YEARS = list(range(1995, 2014))\n", "YEARS" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 14, "text": [ "[1995,\n", " 1996,\n", " 1997,\n", " 1998,\n", " 1999,\n", " 2000,\n", " 2001,\n", " 2002,\n", " 2003,\n", " 2004,\n", " 2005,\n", " 2006,\n", " 2007,\n", " 2008,\n", " 2009,\n", " 2010,\n", " 2011,\n", " 2012,\n", " 2013]" ] } ], "prompt_number": 14 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's now count the results from above for each year:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "query_count = np.array([np.sum(pub_years == year) for year in YEARS])" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(YEARS, query_count)\n", "_ = plt.xlabel(\"Year\")\n", "_ = plt.ylabel(\"Number of papers mentioning SIMBAD\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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/f36ddtKiRQuMGTMGv//++0PbnDdvHsaNGwcAcHV1RXp6uu65jIwMuLq6Vrm9B0sNERHR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\nyON6tfMWdnZ2sLe3f+iPIAhYt24dPv7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"text": [ "" ] } ], "prompt_number": 16 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Normalizing by the number of papers\n", "-----------------------------------\n", "\n", "Let's try and find out how many papers were published each year. We don't want to retrieve all bibcodes ever since this would be slow, but we can make use of the fact that a query returns a ``hits`` parameter giving the total number of results, then search on a year by year basis." ] }, { "cell_type": "code", "collapsed": false, "input": [ "def total_number(year):\n", " \n", " params = {\n", " 'q': 'pubdate:{0:s},property:REFEREED'.format(year),\n", " 'dev_key':DEV_KEY,\n", " 'rows':1\n", " }\n", "\n", " import requests\n", " r = requests.get(BASE_URL, params=params)\n", " \n", " import simplejson\n", " data = simplejson.loads(r.text)\n", " \n", " return data['meta']['hits']" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [ "total_number('2012')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 18, "text": [ "284484" ] } ], "prompt_number": 18 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's now query once and for all the number of papers for every year in the range we are interested in:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "TOTAL_COUNT = []\n", "\n", "for year in YEARS:\n", " date = '{0:04d}'.format(year)\n", " TOTAL_COUNT.append(total_number(date))\n", "\n", "TOTAL_COUNT = np.array(TOTAL_COUNT)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(YEARS, TOTAL_COUNT)\n", "plt.ylim(0, 400000)\n", "_ = plt.xlabel(\"Year\")\n", "_ = plt.ylabel(\"Total number of papers\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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qa5mf+WdMJhMbbnuYPt16XPaz1wcMpazuNPvKj3FdvwA3Vtl5qQdJRETEzY6cOskd76cR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\nRUUAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 20 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's now apply this to the query for 'simbad' that we made previously:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plt.plot(YEARS, query_count / TOTAL_COUNT * 100.)\n", "plt.xlabel(\"Year\")\n", "plt.ylabel(\"% of papers mentioning SIMBAD\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 21, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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7P8KiYQ9h9hAuHklkTPQ2iqq8vBx9+vRp3RaLxSgrK4OVlRUsLDpvqiYiw3a1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\nKOcw4BAREVHO+Qux92SFfGmNnwAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 21 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's finally wrap up the plotting code into a single function to make it easier to overplot different keywords:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def plot_yearly_trend(keyword, label=None):\n", " pub_years = query_acknowledgments(keyword)\n", " query_count = np.array([np.sum(pub_years == year) for year in YEARS])\n", " plt.plot(YEARS, query_count / TOTAL_COUNT * 100., label=label, lw=2, alpha=0.8)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 22 }, { "cell_type": "code", "collapsed": false, "input": [ "plot_yearly_trend('simbad', label='simbad')\n", "plt.legend(loc=2)\n", "_ = plt.xlabel(\"Year\")\n", "_ = plt.ylabel(\"% of papers mentioning various keywords\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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9eLh9Dy3gV89dtwUnPj4eg8FAcXExO3furGyx2bt3L7Gxsfzwww8WL75q1SqeffZZjEYj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\n6BFwAqSdGYwBAAgbBJwAuHCtT2f7P9MDMVP0PzM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"text": [ "" ] } ], "prompt_number": 23 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Examples\n", "--------\n", "\n", "### ADS\n", "\n", "The following is quite slow because this acknowledgment is reasonably popular:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plot_yearly_trend('Astrophysics Data System', label='Astrophysics Data System')\n", "plt.legend(loc=2)\n", "_ = plt.xlabel(\"Year\")\n", "_ = plt.ylabel(\"% of papers mentioning various keywords\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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hVMiIiDhXcXUlW3PrLhel5mZSUFlmfc5kMtE9oK211yUmqINmH8l5OfTSUklJ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\nCW09XYgLfAzxgWFSl0NERDTuDDhGpqGhAeHh4fb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"text": [ "" ] } ], "prompt_number": 24 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Online databases\n", "\n", "The following is quite slow because all these keywords are reasonably popular" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plot_yearly_trend('simbad', label='Simbad')\n", "plot_yearly_trend('vizier', label='Vizier')\n", "plot_yearly_trend('ned', label='NED')\n", "plt.legend(loc=2)\n", "_ = plt.xlabel(\"Year\")\n", "_ = plt.ylabel(\"% of papers mentioning various keywords\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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CwmDEJoQQYhjYvSsftVpLeKQbPr72PZ6vUpkQGeVOZJQ7VZXNnDheTnbmOcrP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"text": [ "" ] } ], "prompt_number": 25 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Programming languages" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plot_yearly_trend('idl', label='IDL')\n", "plot_yearly_trend('python', label='Python')\n", "plot_yearly_trend('fortran', label='Fortran')\n", "plot_yearly_trend('perl', label='perl')\n", "plt.legend(loc=2)\n", "_ = plt.xlabel(\"Year\")\n", "_ = plt.ylabel(\"% of papers mentioning various keywords\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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i14y82M/nQHmefQPrQcyOAa5atYqhQ4faIhYhhLC7rCrbNi7szNS4waSX57Mx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3AAAg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\nYDzWKQkDl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"text": [ "" ] } ], "prompt_number": 26 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Tools" ] }, { "cell_type": "code", "collapsed": false, "input": [ "plot_yearly_trend('starlink', label='Starlink')\n", "plot_yearly_trend('ds9', label='ds9')\n", "plot_yearly_trend('topcat', label='Topcat')\n", "plot_yearly_trend('aladin', label='Aladin')\n", "plot_yearly_trend('iraf', label='IRAF')\n", "plt.legend(loc=2)\n", "_ = plt.xlabel(\"Year\")\n", "_ = plt.ylabel(\"% of papers mentioning various keywords\")" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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UlF0zZ1hCCAFI4lPnyUJkYWmu5F4EwNs5mOaNw/F1bklBaQ7HE3eYOTIhhDBy4rNjxw5a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0KydmJIuRLfjEVIHRY6/viFK+gZ5U/AEwsvGfQAKBVK7hp/BXdnzEGpUPJ+cT7P7t/Y49EGhUKB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\nicjttLVZzrtfrVYSEelPzJlAJ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"text": [ "" ] } ], "prompt_number": 27 }, { "cell_type": "markdown", "metadata": {}, "source": [ "What next?\n", "-----------\n", "\n", "One obvious next step would be to create a webpage that allows users to specify a list of keywords and returns a plot. If you are interested in helping develop this, please contact me! ([thomas.robitaille@gmail.com](thomas.robitaille@gmail.com) or @astrofrog on Twitter)." ] } ], "metadata": {} } ] }