Title
Mining Scientific Papers for Bibliometrics: a (very) Brief Survey of Methods and Tools
Authors
Iana Atanassova
Centre Tesniere, University of Franche-Comte, France
Marc Bertin
Centre Interuniversitaire de Rercherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal (UQAM), Canada
Philipp Mayr
GESIS, Leibniz Institute for the Social Sciences, Germany
Source
via arXiv
From the Introduction:
The Open Access movement in scientific publishing and search engines like Google Scholar have made scientific articles more broadly accessible. During the last decade, the availability of scientific papers in full text has become more and more widespread thanks to the growing number of publications on online platforms such as ArXiv and CiteSeer. The efforts to provide articles in machine-readable formats and the rise of Open Access publishing have resulted in a number of standardized formats for scientific papers (such as NLM-JATS, TEI, DocBook).
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