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Data Publications Correlate with Citation Impact

Neuroscience and molecular biology have been generating large datasets over the past years that are reshaping how research is being conducted. In their wake, open data sharing has been singled out as a major challenge for the future of research. We conducted a comparative study of citations of data...

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Detalles Bibliográficos
Autores principales: Leitner, Florian, Bielza, Concha, Hill, Sean L., Larrañaga, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020078/
https://www.ncbi.nlm.nih.gov/pubmed/27679558
http://dx.doi.org/10.3389/fnins.2016.00419
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author Leitner, Florian
Bielza, Concha
Hill, Sean L.
Larrañaga, Pedro
author_facet Leitner, Florian
Bielza, Concha
Hill, Sean L.
Larrañaga, Pedro
author_sort Leitner, Florian
collection PubMed
description Neuroscience and molecular biology have been generating large datasets over the past years that are reshaping how research is being conducted. In their wake, open data sharing has been singled out as a major challenge for the future of research. We conducted a comparative study of citations of data publications in both fields, showing that the average publication tagged with a data-related term by the NCBI MeSH (Medical Subject Headings) curators achieves a significantly larger citation impact than the average in either field. We introduce a new metric, the data article citation index (DAC-index), to identify the most prolific authors among those data-related publications. The study is fully reproducible from an executable Rmd (R Markdown) script together with all the citation datasets. We hope these results can encourage authors to more openly publish their data.
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spelling pubmed-50200782016-09-27 Data Publications Correlate with Citation Impact Leitner, Florian Bielza, Concha Hill, Sean L. Larrañaga, Pedro Front Neurosci Neuroscience Neuroscience and molecular biology have been generating large datasets over the past years that are reshaping how research is being conducted. In their wake, open data sharing has been singled out as a major challenge for the future of research. We conducted a comparative study of citations of data publications in both fields, showing that the average publication tagged with a data-related term by the NCBI MeSH (Medical Subject Headings) curators achieves a significantly larger citation impact than the average in either field. We introduce a new metric, the data article citation index (DAC-index), to identify the most prolific authors among those data-related publications. The study is fully reproducible from an executable Rmd (R Markdown) script together with all the citation datasets. We hope these results can encourage authors to more openly publish their data. Frontiers Media S.A. 2016-09-13 /pmc/articles/PMC5020078/ /pubmed/27679558 http://dx.doi.org/10.3389/fnins.2016.00419 Text en Copyright © 2016 Leitner, Bielza, Hill and Larrañaga. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Leitner, Florian
Bielza, Concha
Hill, Sean L.
Larrañaga, Pedro
Data Publications Correlate with Citation Impact
title Data Publications Correlate with Citation Impact
title_full Data Publications Correlate with Citation Impact
title_fullStr Data Publications Correlate with Citation Impact
title_full_unstemmed Data Publications Correlate with Citation Impact
title_short Data Publications Correlate with Citation Impact
title_sort data publications correlate with citation impact
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020078/
https://www.ncbi.nlm.nih.gov/pubmed/27679558
http://dx.doi.org/10.3389/fnins.2016.00419
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