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        "description": "===============================\nscholarmetrics\n===============================\n\nCompute scholarly metrics in Python with Pandas and NumPy.\n\n\n**Documentation**: https://scholarmetrics.readthedocs.io.\n\n.. image:: https://img.shields.io/pypi/v/scholarmetrics.svg\n        :target: https://pypi.python.org/pypi/scholarmetrics\n\n.. image:: https://readthedocs.org/projects/scholarmetrics/badge/?version=latest\n        :target: https://scholarmetrics.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://codeclimate.com/github/Michael-E-Rose/scholarmetrics/badges/gpa.svg\n        :target: https://codeclimate.com/github/Michael-E-Rose/scholarmetrics\n        :alt: Code Climate\n\n.. image:: https://travis-ci.org/Michael-E-Rose/scholarmetrics.svg?branch=master\n        :target: https://travis-ci.org/Michael-E-Rose/scholarmetrics\n        :alt: Build Status\n\n\nExamples\n--------\n\n* J.E. Hirsch's h-index or Hirsch-index:\n\n.. code:: python\n\n    >>> from scholarmetrics import hindex\n    >>> citations = [6, 10, 5, 46, 0, 2]\n    >>> hindex(citations)\n    4\n\n* Euclidean index:\n\n.. code:: python\n\n    >>> from scholarmetrics import euclidean\n    >>> citations = [6, 10, 5, 46, 0, 2]\n    >>> euclidean(citations)\n    47.75981574503821\n\n\nContributing\n------------\n\n.. image:: https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat\n     :target: https://github.com/Michael-E-Rose/scholarmetrics/issues\n     :alt: Contributions welcome\n\nPlease see `CONTRIBUTING.rst <CONTRIBUTING.rst>`_.\n\nLicense\n-------\nMIT License, see `LICENSE <LICENSE>`_.",
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