| Name | pybliometrics JSON |
| Version |
4.1
JSON |
| download |
| home_page | None |
| Summary | Python-based API-Wrapper to access Scopus |
| upload_time | 2024-07-27 16:39:03 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | MIT |
| keywords |
scopus
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
pybliometrics
=============
Enables large-scale access to Elsevier's Scopus API from Python.
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
>>> import pybliometrics
>>> pybliometrics.scopus.init() # read API keys
>>> # 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>`_.
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