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Europe PMC in 2017
Europe PMC (https://europepmc.org) is a comprehensive resource of biomedical research publications that offers advanced tools for search, retrieval, and interaction with the scientific literature. This article outlines new developments since 2014. In addition to delivering the core database and serv...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753258/ https://www.ncbi.nlm.nih.gov/pubmed/29161421 http://dx.doi.org/10.1093/nar/gkx1005 |
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author | Levchenko, Maria Gou, Yuci Graef, Florian Hamelers, Audrey Huang, Zhan Ide-Smith, Michele Iyer, Anusha Kilian, Oliver Katuri, Jyothi Kim, Jee-Hyub Marinos, Nikos Nambiar, Rakesh Parkin, Michael Pi, Xingjun Rogers, Frances Talo, Francesco Vartak, Vid Venkatesan, Aravind McEntyre, Johanna |
author_facet | Levchenko, Maria Gou, Yuci Graef, Florian Hamelers, Audrey Huang, Zhan Ide-Smith, Michele Iyer, Anusha Kilian, Oliver Katuri, Jyothi Kim, Jee-Hyub Marinos, Nikos Nambiar, Rakesh Parkin, Michael Pi, Xingjun Rogers, Frances Talo, Francesco Vartak, Vid Venkatesan, Aravind McEntyre, Johanna |
author_sort | Levchenko, Maria |
collection | PubMed |
description | Europe PMC (https://europepmc.org) is a comprehensive resource of biomedical research publications that offers advanced tools for search, retrieval, and interaction with the scientific literature. This article outlines new developments since 2014. In addition to delivering the core database and services, Europe PMC focuses on three areas of development: individual user services, data integration, and infrastructure to support text and data mining. Europe PMC now provides user accounts to save search queries and claim publications to ORCIDs, as well as open access profiles for authors based on public ORCID records. We continue to foster connections between scientific data and literature in a number of ways. All the data behind the paper - whether in structured archives, generic archives or as supplemental files - are now available via links to the BioStudies database. Text-mined biological concepts, including database accession numbers and data DOIs, are highlighted in the text and linked to the appropriate data resources. The SciLite community annotation platform accepts text-mining results from various contributors and overlays them on research articles as licence allows. In addition, text miners and developers can access all open content via APIs or via the FTP site. |
format | Online Article Text |
id | pubmed-5753258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57532582018-01-05 Europe PMC in 2017 Levchenko, Maria Gou, Yuci Graef, Florian Hamelers, Audrey Huang, Zhan Ide-Smith, Michele Iyer, Anusha Kilian, Oliver Katuri, Jyothi Kim, Jee-Hyub Marinos, Nikos Nambiar, Rakesh Parkin, Michael Pi, Xingjun Rogers, Frances Talo, Francesco Vartak, Vid Venkatesan, Aravind McEntyre, Johanna Nucleic Acids Res Database Issue Europe PMC (https://europepmc.org) is a comprehensive resource of biomedical research publications that offers advanced tools for search, retrieval, and interaction with the scientific literature. This article outlines new developments since 2014. In addition to delivering the core database and services, Europe PMC focuses on three areas of development: individual user services, data integration, and infrastructure to support text and data mining. Europe PMC now provides user accounts to save search queries and claim publications to ORCIDs, as well as open access profiles for authors based on public ORCID records. We continue to foster connections between scientific data and literature in a number of ways. All the data behind the paper - whether in structured archives, generic archives or as supplemental files - are now available via links to the BioStudies database. Text-mined biological concepts, including database accession numbers and data DOIs, are highlighted in the text and linked to the appropriate data resources. The SciLite community annotation platform accepts text-mining results from various contributors and overlays them on research articles as licence allows. In addition, text miners and developers can access all open content via APIs or via the FTP site. Oxford University Press 2018-01-04 2017-11-17 /pmc/articles/PMC5753258/ /pubmed/29161421 http://dx.doi.org/10.1093/nar/gkx1005 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Levchenko, Maria Gou, Yuci Graef, Florian Hamelers, Audrey Huang, Zhan Ide-Smith, Michele Iyer, Anusha Kilian, Oliver Katuri, Jyothi Kim, Jee-Hyub Marinos, Nikos Nambiar, Rakesh Parkin, Michael Pi, Xingjun Rogers, Frances Talo, Francesco Vartak, Vid Venkatesan, Aravind McEntyre, Johanna Europe PMC in 2017 |
title | Europe PMC in 2017 |
title_full | Europe PMC in 2017 |
title_fullStr | Europe PMC in 2017 |
title_full_unstemmed | Europe PMC in 2017 |
title_short | Europe PMC in 2017 |
title_sort | europe pmc in 2017 |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753258/ https://www.ncbi.nlm.nih.gov/pubmed/29161421 http://dx.doi.org/10.1093/nar/gkx1005 |
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