Turning the tables on citation analysis one more time: Principles for comparing sets of documents
Identifieur interne : 000B48 ( Istex/Corpus ); précédent : 000B47; suivant : 000B49Turning the tables on citation analysis one more time: Principles for comparing sets of documents
Auteurs : Loet Leydesdorff ; Lutz Bornmann ; Rüdiger Mutz ; Tobias OpthofSource :
- Journal of the American Society for Information Science and Technology [ 1532-2882 ] ; 2011-07.
Abstract
We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are—as a rule—highly skewed and should not be arithmetically averaged. With percentile ranks, the citation score of each paper is rated in terms of its percentile in the citation distribution. The percentile ranks approach allows for the formulation of a more abstract indicator scheme that can be used to organize and/or schematize different impact indicators according to three degrees of freedom: the selection of the reference sets, the evaluation criteria, and the choice of whether or not to define the publication sets as independent. Bibliometric data of seven principal investigators (PIs) of the Academic Medical Center of the University of Amsterdam are used as an exemplary dataset. We demonstrate that the proposed family indicators [R(6), R(100), R(6, k), R(100, k)] are an improvement on averages‐based indicators because one can account for the shape of the distributions of citations over papers.
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DOI: 10.1002/asi.21534
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Citation distributions are—as a rule—highly skewed and should not be arithmetically averaged. With percentile ranks, the citation score of each paper is rated in terms of its percentile in the citation distribution. The percentile ranks approach allows for the formulation of a more abstract indicator scheme that can be used to organize and/or schematize different impact indicators according to three degrees of freedom: the selection of the reference sets, the evaluation criteria, and the choice of whether or not to define the publication sets as independent. Bibliometric data of seven principal investigators (PIs) of the Academic Medical Center of the University of Amsterdam are used as an exemplary dataset. We demonstrate that the proposed family indicators [R(6), R(100), R(6, k), R(100, k)] are an improvement on averages‐based indicators because one can account for the shape of the distributions of citations over papers.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Loet Leydesdorff</name><affiliations><json:string>Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Kloveniersburgwal 48, NL‐1012 CX Amsterdam, The Netherlands</json:string><json:string>E-mail: loet@leydesdorff.net</json:string></affiliations></json:item><json:item><name>Lutz Bornmann</name><affiliations><json:string>Max Planck Society, Hofgartenstrasse 8, D‐80539 Munich, Germany</json:string><json:string>E-mail: bornmann@gv.mpg.de</json:string></affiliations></json:item><json:item><name>Rüdiger Mutz</name><affiliations><json:string>ETH Zurich, Professorship for Social Psychology and Research on Higher Education, Zähringerstrasse 24, CH‐8092 Zurich, Switzerland</json:string></affiliations></json:item><json:item><name>Tobias Opthof</name><affiliations><json:string>Experimental Cardiology Group, Center for Heart Failure Research, Academic Medical Center K2‐105, 1105 AZ Amsterdam, The Netherlands</json:string><json:string>Department of Medical Physiology, University Medical Center Utrecht, 3508 CM Utrecht, The Netherlands</json:string><json:string>E-mail: t.opthof@inter.nl.net</json:string></affiliations></json:item></author><articleId><json:string>ASI21534</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. 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Amsterdam, Kloveniersburgwal 48, NL‐1012 CX Amsterdam, The Netherlands</unparsedAffiliation></affiliation><affiliation xml:id="af2" countryCode="DE" type="organization"><unparsedAffiliation>Max Planck Society, Hofgartenstrasse 8, D‐80539 Munich, Germany</unparsedAffiliation></affiliation><affiliation xml:id="af3" countryCode="CH" type="organization"><unparsedAffiliation>ETH Zurich, Professorship for Social Psychology and Research on Higher Education, Zähringerstrasse 24, CH‐8092 Zurich, Switzerland</unparsedAffiliation></affiliation><affiliation xml:id="af4" countryCode="NL" type="organization"><unparsedAffiliation>Experimental Cardiology Group, Center for Heart Failure Research, Academic Medical Center K2‐105, 1105 AZ Amsterdam, The Netherlands</unparsedAffiliation></affiliation><affiliation xml:id="af5" countryCode="NL" type="organization"><unparsedAffiliation>Department of Medical Physiology, University Medical Center Utrecht, 3508 CM Utrecht, The Netherlands</unparsedAffiliation></affiliation></affiliationGroup><abstractGroup><abstract type="main" xml:lang="en"><title type="main">Abstract</title><p>We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are—as a rule—highly skewed and should not be arithmetically averaged. With percentile ranks, the citation score of each paper is rated in terms of its percentile in the citation distribution. The percentile ranks approach allows for the formulation of a more abstract indicator scheme that can be used to organize and/or schematize different impact indicators according to three degrees of freedom: the selection of the reference sets, the evaluation criteria, and the choice of whether or not to define the publication sets as independent. Bibliometric data of seven principal investigators (PIs) of the Academic Medical Center of the University of Amsterdam are used as an exemplary dataset. We demonstrate that the proposed family indicators [<i>R</i>(6), <i>R</i>(100), <i>R</i>(6, k), <i>R</i>(100, k)] are an improvement on averages‐based indicators because one can account for the shape of the distributions of citations over papers.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Turning the tables on citation analysis one more time: Principles for comparing sets of documents</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Turning the tables on citation analysis one more time: Principles for comparing sets of documents</title></titleInfo><name type="personal"><namePart type="given">Loet</namePart><namePart type="family">Leydesdorff</namePart><affiliation>Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Kloveniersburgwal 48, NL‐1012 CX Amsterdam, The Netherlands</affiliation><affiliation>E-mail: loet@leydesdorff.net</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Lutz</namePart><namePart type="family">Bornmann</namePart><affiliation>Max Planck Society, Hofgartenstrasse 8, D‐80539 Munich, Germany</affiliation><affiliation>E-mail: bornmann@gv.mpg.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Rüdiger</namePart><namePart type="family">Mutz</namePart><affiliation>ETH Zurich, Professorship for Social Psychology and Research on Higher Education, Zähringerstrasse 24, CH‐8092 Zurich, Switzerland</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Tobias</namePart><namePart type="family">Opthof</namePart><affiliation>Experimental Cardiology Group, Center for Heart Failure Research, Academic Medical Center K2‐105, 1105 AZ Amsterdam, The Netherlands</affiliation><affiliation>Department of Medical Physiology, University Medical Center Utrecht, 3508 CM Utrecht, The Netherlands</affiliation><affiliation>E-mail: t.opthof@inter.nl.net</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><place><placeTerm type="text">Hoboken</placeTerm></place><dateIssued encoding="w3cdtf">2011-07</dateIssued><dateCaptured encoding="w3cdtf">2011-01-20</dateCaptured><dateValid encoding="w3cdtf">2011-03-08</dateValid><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">1</extent><extent unit="tables">8</extent><extent unit="references">66</extent></physicalDescription><abstract lang="en">We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are—as a rule—highly skewed and should not be arithmetically averaged. With percentile ranks, the citation score of each paper is rated in terms of its percentile in the citation distribution. The percentile ranks approach allows for the formulation of a more abstract indicator scheme that can be used to organize and/or schematize different impact indicators according to three degrees of freedom: the selection of the reference sets, the evaluation criteria, and the choice of whether or not to define the publication sets as independent. Bibliometric data of seven principal investigators (PIs) of the Academic Medical Center of the University of Amsterdam are used as an exemplary dataset. We demonstrate that the proposed family indicators [R(6), R(100), R(6, k), R(100, k)] are an improvement on averages‐based indicators because one can account for the shape of the distributions of citations over papers.</abstract><relatedItem type="host"><titleInfo><title>Journal of the American Society for Information Science and Technology</title></titleInfo><titleInfo type="abbreviated"><title>J. Am. Soc. Inf. Sci.</title></titleInfo><genre type="journal">journal</genre><subject><genre>index-terms</genre><topic authorityURI="psi.asis.org/digital/citation+analysis">citation analysis</topic><topic authorityURI="psi.asis.org/digital/impact+factor">impact factor</topic><topic authorityURI="psi.asis.org/digital/indicators">indicators</topic><topic authorityURI="psi.asis.org/digital/ranking">ranking</topic><topic authorityURI="psi.asis.org/digital/data+distribution">data distribution</topic></subject><subject><genre>article-category</genre><topic>Research Article</topic></subject><identifier type="ISSN">1532-2882</identifier><identifier type="eISSN">1532-2890</identifier><identifier type="DOI">10.1002/(ISSN)1532-2890</identifier><identifier type="PublisherID">ASI</identifier><part><date>2011</date><detail type="volume"><caption>vol.</caption><number>62</number></detail><detail type="issue"><caption>no.</caption><number>7</number></detail><extent unit="pages"><start>1370</start><end>1381</end><total>12</total></extent></part></relatedItem><relatedItem type="preceding"><titleInfo><title>Journal of the American Society for Information Science</title></titleInfo><identifier type="ISSN">0002-8231</identifier><identifier type="ISSN">1097-4571</identifier><part><date point="end">2000</date><detail type="volume"><caption>last vol.</caption><number>51</number></detail><detail type="issue"><caption>last no.</caption><number>14</number></detail></part></relatedItem><identifier type="istex">55276D8D7981646D7131CB48DD06B8EB33FD37B9</identifier><identifier type="DOI">10.1002/asi.21534</identifier><identifier type="ArticleID">ASI21534</identifier><accessCondition type="use and reproduction" contentType="copyright">© 2011 ASIS&T</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Wiley Subscription Services, Inc., A Wiley Company</recordOrigin></recordInfo></mods></metadata><enrichments><json:item><type>multicat</type><uri>https://api.istex.fr/document/55276D8D7981646D7131CB48DD06B8EB33FD37B9/enrichments/multicat</uri></json:item></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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