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Europe PMC in 2020
Author(s) -
Christine Ferguson,
Dayane Araújo,
L. Christine Faulk,
Yuci Gou,
Audrey Hamelers,
Zhan Huang,
Michele IdeSmith,
Maria Levchenko,
Nikos Marinos,
Rakesh Nambiar,
Maaly Nassar,
Michael Parkin,
Xingjun Pi,
Faisal Rahman,
Frances Rogers,
Yogmatee Roochun,
Shyamasree Saha,
Mohamed Selim,
Zunaira Shafique,
Shrey Sharma,
David Stephenson,
Francesco Talo,
Arthur Thouvenin,
Santosh Tirunagari,
Vid Vartak,
Aravind Venkatesan,
Xiao Yang,
Johanna McEntyre
Publication year - 2020
Publication title -
nucleic acids research
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkaa994
Subject(s) - news aggregator , preprint , world wide web , download , library science , computer science , covid-19 , key (lock) , information retrieval , data science , medicine , computer security , disease , pathology , infectious disease (medical specialty)
Europe PMC (https://europepmc.org) is a database of research articles, including peer reviewed full text articles and abstracts, and preprints - all freely available for use via website, APIs and bulk download. This article outlines new developments since 2017 where work has focussed on three key areas: (i) Europe PMC has added to its core content to include life science preprint abstracts and a special collection of full text of COVID-19-related preprints. Europe PMC is unique as an aggregator of biomedical preprints alongside peer-reviewed articles, with over 180 000 preprints available to search. (ii) Europe PMC has significantly expanded its links to content related to the publications, such as links to Unpaywall, providing wider access to full text, preprint peer-review platforms, all major curated data resources in the life sciences, and experimental protocols. The redesigned Europe PMC website features the PubMed abstract and corresponding PMC full text merged into one article page; there is more evident and user-friendly navigation within articles and to related content, plus a figure browse feature. (iii) The expanded annotations platform offers ∼1.3 billion text mined biological terms and concepts sourced from 10 providers and over 40 global data resources.

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