Sharing Detailed Research Data Is Associated with Increased Citation Rate
Identifieur interne : 000693 ( Pmc/Checkpoint ); précédent : 000692; suivant : 000694Sharing Detailed Research Data Is Associated with Increased Citation Rate
Auteurs : Heather A. Piwowar ; Roger S. Day ; Douglas B. FridsmaSource :
- PLoS ONE [ 1932-6203 ] ; 2007.
Abstract
Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available.
We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression.
This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.
Url:
DOI: 10.1371/journal.pone.0000308
PubMed: 17375194
PubMed Central: 1817752
Affiliations:
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PMC:1817752Le document en format XML
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<author><name sortKey="Piwowar, Heather A" sort="Piwowar, Heather A" uniqKey="Piwowar H" first="Heather A." last="Piwowar">Heather A. Piwowar</name>
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<author><name sortKey="Day, Roger S" sort="Day, Roger S" uniqKey="Day R" first="Roger S." last="Day">Roger S. Day</name>
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<author><name sortKey="Fridsma, Douglas B" sort="Fridsma, Douglas B" uniqKey="Fridsma D" first="Douglas B." last="Fridsma">Douglas B. Fridsma</name>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available.</p>
</sec>
<sec><title>Principal Findings</title>
<p>We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression.</p>
</sec>
<sec><title>Significance</title>
<p>This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.</p>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-title>PLoS ONE</journal-title>
<issn pub-type="epub">1932-6203</issn>
<publisher><publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc>
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<article-meta><article-id pub-id-type="pmid">17375194</article-id>
<article-id pub-id-type="pmc">1817752</article-id>
<article-id pub-id-type="publisher-id">06-PONE-RA-00481R1</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0000308</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline"><subject>Science Policy</subject>
<subject>Genetics and Genomics/Cancer Genetics</subject>
<subject>Genetics and Genomics/Gene Expression</subject>
<subject>Molecular Biology/Bioinformatics</subject>
<subject>Evidence-Based Healthcare/Statistical Methodologies and Health Informatics</subject>
</subj-group>
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<title-group><article-title>Sharing Detailed Research Data Is Associated with Increased Citation Rate</article-title>
<alt-title alt-title-type="running-head">Sharing Data Citation Rate</alt-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Piwowar</surname>
<given-names>Heather A.</given-names>
</name>
<xref rid="aff1" ref-type="aff"></xref>
<xref ref-type="corresp" rid="n101"><sup>*</sup>
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<contrib contrib-type="author"><name><surname>Day</surname>
<given-names>Roger S.</given-names>
</name>
<xref rid="aff1" ref-type="aff"></xref>
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<contrib contrib-type="author"><name><surname>Fridsma</surname>
<given-names>Douglas B.</given-names>
</name>
<xref rid="aff1" ref-type="aff"></xref>
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<aff id="aff1"><addr-line>Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America</addr-line>
</aff>
<contrib-group><contrib contrib-type="editor"><name><surname>Ioannidis</surname>
<given-names>John</given-names>
</name>
<role>Academic Editor</role>
<xref rid="edit1" ref-type="aff"></xref>
</contrib>
</contrib-group>
<aff id="edit1">University of Ioannina School of Medicine, Greece</aff>
<author-notes><corresp id="n101">* To whom correspondence should be addressed. E-mail: <email>hpiwowar@cbmi.pitt.edu</email>
</corresp>
<fn fn-type="con"><p>Conceived and designed the experiments: HP. Performed the experiments: HP. Analyzed the data: HP. Wrote the paper: HP. Other: Reviewed the data analysis and interpretation, reviewed the paper: RD Discussed the study motivation and scope, reviewed the paper: DF.</p>
</fn>
</author-notes>
<pub-date pub-type="collection"><year>2007</year>
</pub-date>
<pub-date pub-type="epub"><day>21</day>
<month>3</month>
<year>2007</year>
</pub-date>
<volume>2</volume>
<issue>3</issue>
<elocation-id>e308</elocation-id>
<history><date date-type="received"><day>13</day>
<month>12</month>
<year>2006</year>
</date>
<date date-type="accepted"><day>26</day>
<month>2</month>
<year>2007</year>
</date>
</history>
<copyright-statement>Piwowar et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</copyright-statement>
<copyright-year>2007</copyright-year>
<abstract><sec><title>Background</title>
<p>Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available.</p>
</sec>
<sec><title>Principal Findings</title>
<p>We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression.</p>
</sec>
<sec><title>Significance</title>
<p>This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.</p>
</sec>
</abstract>
<counts><page-count count="5"></page-count>
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<tree><noCountry><name sortKey="Day, Roger S" sort="Day, Roger S" uniqKey="Day R" first="Roger S." last="Day">Roger S. Day</name>
<name sortKey="Fridsma, Douglas B" sort="Fridsma, Douglas B" uniqKey="Fridsma D" first="Douglas B." last="Fridsma">Douglas B. Fridsma</name>
<name sortKey="Piwowar, Heather A" sort="Piwowar, Heather A" uniqKey="Piwowar H" first="Heather A." last="Piwowar">Heather A. Piwowar</name>
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