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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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SPACCC

Authors: Ander Intxaurrondo; Krallinger, Martin;
Abstract

[PlanTL/medicine/document] The Spanish Clinical Case Corpus (SPACCC) corpus corresponds to a manually classified collection of clinical case reports (specifically clinical case description sections) derived from open access Spanish medical publications (SciELO). The SPACCC corpus contained a total of 1,000 clinical cases / 396,988 words. It is noteworthy that this kind of narrative shows properties of both the biomedical and medical literature, as well as clinical records (e.g. discharge summaries). The SPACCC clinical cases were not restricted to a single medical discipline, covering a variety of medical specialities, including oncology, urology, cardiology, pneumology or infectious diseases. Copyright (c) 2018 Secretaría de Estado para el Avance Digital Gonzalez-Agirre A, Marimon M, Intxaurrondo A, Rabal O, Villegas M, Krallinger M. Pharmaconer: Pharmacological substances, compounds and proteins named entity recognition track. InProceedings of The 5th Workshop on BioNLP Open Shared Tasks 2019 Nov (pp. 1-10).

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

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Keywords

PlanTL, Spanish, Corpus, Medicine, Clinical Cases

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selected citations
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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).
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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).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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