Section level search functionality in Europe PMC

Journal of Biomedical Semantics
Şenay KafkasJohanna R McEntyre

Abstract

As the availability of open access full text research articles increases, so does the need for sophisticated search services that make the most of this new content. Here, we present a new feature available in Europe PMC that allows selected sections of full text articles to be searched, including figures and reference lists. Users can now search particular parts of an article, reducing noise and allowing fine-tuning of searches. To the best of our knowledge, Europe PMC is the first service that provides a granular literature search by allowing users to target their search to particular sections of articles. This new functionality is based on a heuristic algorithm that identifies and categorises article sections into 17 pre-defined categories based on the section heading. The tagger's performance is measured against a manually curated dataset consisting of 100 full text articles with an F-score of 98.02%. The section search is available from the advanced search within Europe PMC (http://europepmc.org). The source code is freely available from http://europepmc.org/ftp/oa/SectionTagger/.

References

Jun 5, 2007·Bioinformatics·Marti A HearstJerry Ye
Jul 11, 2008·Bioinformatics·Songhua XuMichael Krauthammer
Sep 1, 2009·Journal of the American Medical Informatics Association : JAMIA·Joshua C DennyRandolph A Miller
Nov 11, 2010·Nucleic Acids Research·Johanna R McEntyrePhilip Vaughan
Mar 26, 2014·Psychonomic Bulletin & Review·Steven T Piantadosi

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Citations

May 16, 2018·Standards in Genomic Sciences·Joaquin Bernal-BayardJean-Marc Ghigo
Jun 8, 2017·Journal of Biomedical Semantics·Şenay KafkasJohanna McEntyre

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Software Mentioned

OA
Google Scholar
BioText
YIF
Europe PMC
Perl
Yale Image Finder
ContentMine
PubMed Central

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