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ZENODO
Dataset . 2018
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 . 2018
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 . 2018
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 . 2018
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 . 2018
Data sources: ZENODO
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AbreMES-DB

Authors: Ander Intxaurrondo;
Abstract

[Plan TL/medicine/lexical/terminological resource] The Spanish Medical Abbreviation DataBase. The database is created automatically by detecting abbreviations and their potential definitions explicitly mentioned in the same sentence. These abbreviations are extracted from the metadata of different biomedical publications written in Spanish, which contain the titles and abstracts. The sources of these publications are SciELO, IBECS and Pubmed. The chosen schema is Dublin Core. We use the official ones from SciELO, and customized adaptations of the XML files to Dublin Core from IBECS and Pubmed metadata. The objective is to create a semantic inventory of interest for the resolution of definitions of abbreviations. Copyright Copyright (c) 2018 Secretaría de Estado para el Avance Digital (SEAD)

{"references": ["Intxaurrondo A, Krallinger M. CNIO at BARR IberEval 2017: Exploring Three Biomedical Abbreviation Identifiers for Spanish Biomedical Publications. In IberEval@ SEPLN 2017 (pp. 278-285)."]}

Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).

Related Organizations
Keywords

Biomedical Text Mining, Abbreviation Resolution, DataBase, Spanish, Medical Lliterature, PlanTL, Biomedical Text Mining, Abbreviation Resolution, DataBase, Spanish, Medical Lliterature, http://id.loc.gov/authorities/subjects/sh2008107649

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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
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