Metadata-Version: 1.2
Name: pybliometrics
Version: 3.0.1
Summary: Python-based API-Wrapper to access Scopus
Home-page: https://pybliometrics.readthedocs.io/en/stable/
Author: 'John Kitchin and Michael E. Rose
Author-email: Michael.Ernst.Rose@gmail.com
Maintainer: Michael E. Rose
Maintainer-email: Michael.Ernst.Rose@gmail.com
License: MIT
Description: pybliometrics
        =============
        
        Access Elsevier Scopus's API from Python on a large scale.
        
        Documentation: https://pybliometrics.readthedocs.io
        
        Development: https://github.com/pybliometrics-dev/pybliometrics
        
        .. image:: https://badge.fury.io/py/pybliometrics.svg
            :target: https://badge.fury.io/py/pybliometrics
        
        .. image:: https://img.shields.io/pypi/pyversions/pybliometrics.svg
            :target: https://img.shields.io/pypi/pyversions/pybliometrics.svg
        
        .. image:: https://readthedocs.org/projects/pybliometrics/badge/?version=stable
            :target: https://readthedocs.org/projects/pybliometrics/badge/?version=stable
        
        .. image:: https://img.shields.io/pypi/dm/pybliometrics.svg
            :target: https://img.shields.io/pypi/dm/pybliometrics.svg
        
        .. image:: https://img.shields.io/pypi/l/pybliometrics.svg
            :target: https://img.shields.io/pypi/l/pybliometrics.svg
        
        .. image:: https://api.codeclimate.com/v1/badges/a4d7edd206a1252dfcfe/maintainability
           :target: https://codeclimate.com/github/pybliometrics-dev/pybliometrics/maintainability
        
        Example
        =======
        .. example-begin
        .. code:: python
        
            >>> # Document-specific information
            >>> from pybliometrics.scopus import AbstractRetrieval
            >>> ab = AbstractRetrieval("10.1016/j.softx.2019.100263")
            >>> ab.title
            'pybliometrics: Scriptable bibliometrics using a Python interface to Scopus'
            >>> ab.publicationName
            'SoftwareX'
            >>> ab.authors
            [Author(auid=57209617104, indexed_name='Rose M.E.', surname='Rose',
             given_name='Michael E.', affiliation='60105007'),
             Author(auid=7004212771, indexed_name='Kitchin J.R.', surname='Kitchin',
             given_name='John R.', affiliation='60027950')]
            >>> 
            >>> # Author-specific information
            >>> from pybliometrics.scopus import AuthorRetrieval
            >>> au2 = AuthorRetrieval(ab.authors[1].auid)
            >>> au2.h_index
            34
            >>> au1 = AuthorRetrieval(ab.authors[0].auid)
            >>> au1.affiliation_current
            [Affiliation(id=60105007, parent=None, type='parent', relationship='author',
             afdispname=None, preferred_name='Max Planck Institute for Innovation and Competition',
             parent_preferred_name=None, country_code='deu', country='Germany',
             address_part='Marstallplatz 1', city='Munich', state='Bayern',
             postal_code='80539', org_domain='ip.mpg.de', org_URL='http://www.ip.mpg.de/')]
            >>> 
            >>> # Affiliation information
            >>> from pybliometrics.scopus import AffiliationRetrieval
            >>> aff1 = AffiliationRetrieval(au1.affiliation_current[0].id)
            >>> aff1.author_count
            98
        
        .. example-end
        
        Installation
        ============
        
        .. installation-begin
        
        Install the stable version from PyPI:
        
        .. code-block:: bash
        
            pip install pybliometrics
        
        or the development version from the GitHub repository (requires git on your system):
        
        .. code-block:: bash
        
            pip install git+https://github.com/pybliometrics-dev/pybliometrics
        
        .. installation-end
        
        Citation
        ========
        
        If pybliometrics helped you getting data for research, please cite our corresponding paper:
        
        * 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.
        
        Citing 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.
        
        Change log
        ==========
        
        Please see `CHANGES.rst <./meta/CHANGES.rst>`_.
        
        Contributing
        ============
        
        Please see `CONTRIBUTING.rst <CONTRIBUTING.rst>`_. For a list of contributors see
        `AUTHORS.rst <./meta/AUTHORS.rst>`_.
        
        License
        =======
        
        MIT License; see `LICENSE <LICENSE>`_.
        
        
Keywords: scopus
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Information Analysis
