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ZENODO
Dataset . 2019
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
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
Data sources: Datacite
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Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software and Other Digital Artifacts

Authors: Hsu, Chun-Nan; Bandrowski, Anita; Gillespie, Thomas H; Udell, Jon; Lin, Ko-Wei; Ozyurt, Ibrahim Burak; Grethe, Jeffrey S; +1 Authors

Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software and Other Digital Artifacts

Abstract

The Research Resource Identifier was introduced in biomedicine in 2014 to more precisely identify the reagents and tools used in published biomedical research and to track use of tools across the breadth of the biomedical literature. The current RRID specification covers key biological and digital resources. Authors are instructed to include an RRID after the first mention of any resource used. RRIDs are designed to be easy to find using a full text search search engine. The published data sets were used in our comparative study where comparing the output of our RRID curation workflow with the outputs of automated text mining systems that have been used to identify mentions of resources in the text of publications. All files in tab-separated format (tsv). Scibot.tsv: Records of the RRID curation workflow using SciBot. Each record shows that a resource RRID was identified in paper PMID with curator tags (Tag1, Tag2, both optional) PMID: Pubmed ID RRID: Research Resource Identifier Tag1: Curator tags (optional) Tag2: Additional curator tags (optional) rdwsorted.tsv: Records of the output from RDW, a text mining software. RDW identifies mentions of research resources in papers. Each record shows that a resource RRID was identified in paper PMID. PMID: Pubmed ID RRID: Research Resource Identifier rridbyrdw05282019.tsv: Records of the output of the RRID-by-RDW in RDW. RRID-by-RDW is a component in RDW that identifies mentions of research resources in papers by matching patterns of RRID specifications. Each record shows that a resource RRID was identified in paper PMID. PMID: Pubmed ID RRID: Research Resource Identifier Context: Snippet where the RRID was found resource_metadata20190418.tsv: Metadata of RRIDs This file contains metadata of resources and their RRIDs. See file header for column definitions. RRIDCUR-definitions.tsv: Definitions of curator tags used in Scibot.tsv. tag: Tag name definition: Definition of the tag

{"references": ["10.1109/MCSE.2019.2952838", "https://escholarship.org/content/qt9kh7h8zr/qt9kh7h8zr.pdf", "Comparing the Use of Research Resource Identifiers and Natural Language Processing for Citation of Databases, Software, and Other Digital Artifacts."]}

NIH NIDDK U24DK097771, NIH NIDA U24DA039832 and

Related Organizations
Keywords

Natural Language Processing, Citation Analysis, Research Reproducibility, Curation vs. Text Mining

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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!
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