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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Biotea-2-Bioschemas test data

Authors: Garcia, Leyla; Giraldo, Olga; Garcia, Alexander; Rebholz-Schuhmann, Dietrich;

Biotea-2-Bioschemas test data

Abstract

Biotea-2-Bioschemas mapps Biotea model to schema.org following the approach proposed by Bioschemas. Here we present the test data used in Biotea GitHub pages, corresponding to 2596 PubMed Open Access (PMC-OA) subset publications together with the software used to render schema.org markup. Date deposited includes (i) publications retrieved from PMC-OA API, i.e., full text in JATS/XML, (ii) ontology terms recognized in the abstracts and obtained from the NCBO Annotator, i.e., semantic annotations, and (iii) the same annotations following the PubAnnotation format. Software deposited includes (i) biotea-bioschemas-metadata which parses JATS/XML files and creates Bioschemas markup including metadata, abstract and references, (ii) biotea-bioschemas-annotations which parses PubAnnotation annotations and creates Bioschemas markup, and (iii) biotea-bioschemas-showcase which uses the other two in order to display markup in a graphical basic way and render it as a script element in the HTML following the JSON-LD format. The corresonding GitHub repositories are: (i) https://github.com/biotea/biotea-bioschemas-metadata, (ii) https://github.com/biotea/biotea-bioschemas-annotations, and (iii) https://github.com/biotea/biotea-bioschemas-showcase. Biotea-2-bioschemas can be seen in action at http://biotea.github.io/bioschemas/

{"references": ["Gray AJG, Goble CA, Jim\u00e9nez R. Bioschemas: From Potato Salad to Protein Annotation. International Semantic Web Conference. 2017; Available: https://pdfs.semanticscholar.org/74ec/a9c89622bff731b21b03acb4f2400a0f00fa.pdf", "Garcia Castro LJ, McLaughlin C, Garcia A. Biotea: RDFizing PubMed Central in support for the paper as an interface to the Web of Data. J Biomed Semantics. BioMed Central; 2013;4: S5.", "Garcia A, Lopez F, Garcia L, Giraldo O, Bucheli V, Dumontier M. Biotea: semantics for Pubmed Central. PeerJ. PeerJ Inc.; 2018;6: e4201.", "Jonquet C, Shah NH, Youn CH, Musen MA, Storey M-A. NCBO Annotator: Semantic Annotation of Biomedical Data. Proceedings of the 2009 International Semantic Web Conference. 2009. Available:", "Kim J-D, Wang Y. PubAnnotation: a persistent and shareable corpus and annotation repository. Proceedings of the 2012 Workshop on Biomedical Natural Language Processing. Association for Computational Linguistics; 2012. pp. 202\u2013205."]}

Keywords

Web pages markup, Biotea, Semantic annotations, Bioschemas, Full text publications

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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