{ "info": { "author": "'John Kitchin and Michael E. Rose", "author_email": "Michael.Ernst.Rose@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "pybliometrics\n=============\n\nAccess Elsevier Scopus's API from Python on a large scale.\n\nDocumentation: https://pybliometrics.readthedocs.io\n\nDevelopment: https://github.com/pybliometrics-dev/pybliometrics\n\n.. image:: https://badge.fury.io/py/pybliometrics.svg\n :target: https://badge.fury.io/py/pybliometrics\n\n.. image:: https://img.shields.io/pypi/pyversions/pybliometrics.svg\n :target: https://img.shields.io/pypi/pyversions/pybliometrics.svg\n\n.. image:: https://readthedocs.org/projects/pybliometrics/badge/?version=stable\n :target: https://readthedocs.org/projects/pybliometrics/badge/?version=stable\n\n.. image:: https://img.shields.io/pypi/dm/pybliometrics.svg\n :target: https://img.shields.io/pypi/dm/pybliometrics.svg\n\n.. image:: https://img.shields.io/pypi/l/pybliometrics.svg\n :target: https://img.shields.io/pypi/l/pybliometrics.svg\n\n.. image:: https://api.codeclimate.com/v1/badges/a4d7edd206a1252dfcfe/maintainability\n :target: https://codeclimate.com/github/pybliometrics-dev/pybliometrics/maintainability\n\nExample\n=======\n.. example-begin\n.. code:: python\n\n >>> from pybliometrics.scopus import AbstractRetrieval, AuthorRetrieval, ContentAffiliationRetrieval\n >>> ab = AbstractRetrieval(\"10.1016/j.softx.2019.100263\")\n >>> ab.title\n 'pybliometrics: Scriptable bibliometrics using a Python interface to Scopus'\n >>> ab.publicationName\n 'SoftwareX'\n >>> ab.authors\n [Author(auid='57209617104', indexed_name='Rose M.E.', surname='Rose', given_name='Michael E.', affiliation=['60105007']),\n Author(auid='7004212771', indexed_name='Kitchin J.R.', surname='Kitchin', given_name='John R.', affiliation=['60027950'])]\n >>> au2 = AuthorRetrieval(ab.authors[1].auid)\n >>> au2.h_index\n '30'\n >>> au1 = AuthorRetrieval(ab.authors[0].auid)\n >>> au1.affiliation_current\n '60105007'\n >>> aff1 = ContentAffiliationRetrieval(au1.affiliation_current)\n >>> aff1.affiliation_name\n 'Max Planck Institute for Innovation and Competition'\n\n.. example-end\n\nInstallation\n============\n\n.. installation-begin\n\nInstall the stable version from PyPI:\n\n.. code-block:: bash\n\n pip install pybliometrics\n\nor the development version from the GitHub repository (requires git on your system):\n\n.. code-block:: bash\n\n pip install git+git://github.com/pybliometrics-dev/pybliometrics\n\n.. installation-end\n\nCitation\n========\n\nIf pybliometrics helped you getting data for research, please cite our corresponding paper:\n\n* Rose, Michael E. and John R. Kitchin: \"`pybliometrics: Scriptable bibliometrics using a Python interface to Scopus <./meta/1-s2.0-S2352711019300573-main.pdf>`_\", SoftwareX 10 (2019) 100263.\n\nCiting the paper helps the development of pybliometrics, because it justifies funneling resources into the development. It also signals that you obtained data from Scopus in a transparent and replicable way.\n\nChange log\n==========\n\nPlease see `CHANGES.rst <./meta/CHANGES.rst>`_.\n\nContributing\n============\n\nPlease see `CONTRIBUTING.rst `_. For a list of contributors see\n`AUTHORS.rst <./meta/AUTHORS.rst>`_.\n\nLicense\n=======\n\nMIT License; see `LICENSE `_.", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://pybliometrics.readthedocs.io/en/stable/", "keywords": "scopus", "license": "MIT", "maintainer": "Michael E. 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