University citation distributions

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dc.contributor.author Perianes Rodríguez, Antonio
dc.contributor.author Ruiz-Castillo, Javier
dc.date.accessioned 2017-09-11T18:04:08Z
dc.date.available 2017-09-11T18:04:08Z
dc.date.issued 2016-11-01
dc.identifier.bibliographicCitation Perianes-Rodriguez, a., Ruiz-Castillo, J. (2016). University citation distributions. Journal of the Association for Information Science and Technology, v. 67, n. 11, pp. 2790-2804
dc.identifier.issn 2330-1635
dc.identifier.uri http://hdl.handle.net/10016/25212
dc.description.abstract We investigate the citation distributions of the 500 universities in the 2013 edition of the Leiden Ranking produced by The Centre for Science and Technological Studies. We use a Web of Science data set consisting of 3.6 million articles published in 2003 to 2008 and classified into 5,119 clusters. The main findings are the following. First, the universality claim, according to which all university-citation distributions, appropriately normalized, follow a single functional form, is not supported by the data. Second, the 500 university citation distributions are all highly skewed and very similar. Broadly speaking, university citation distributions appear to behave as if they differ by a relatively constant scale factor over a large, intermediate part of their support. Third, citation-impact differences between universities account for 3.85% of overall citation inequality. This percentage is greatly reduced when university citation distributions are normalized using their mean normalized citation scores (MNCSs) as normalization factors. Finally, regarding practical consequences, we only need a single explanatory model for the type of high skewness characterizing all university citation distributions, and the similarity of university citation distributions goes a long way in explaining the similarity of the university rankings obtained with the MNCS and the Top 10% indicator.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Association for Information Science and Technology
dc.relation.isversionof http://hdl.handle.net/10016/19811
dc.rights © Association for Information Science and Technology
dc.subject.other Scientometrics
dc.subject.other Bibliographic citations
dc.subject.other Citation analysis
dc.subject.other Impact indicators
dc.subject.other Productivity
dc.subject.other Universality
dc.subject.other Articles
dc.subject.other Science
dc.subject.other Scores
dc.subject.other Scales
dc.title University citation distributions
dc.type article
dc.subject.eciencia Economía
dc.identifier.doi https://doi.org/10.1002/asi.23619
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. ECO2011-29762
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 2790
dc.identifier.publicationissue 11
dc.identifier.publicationlastpage 2804
dc.identifier.publicationtitle Journal of the Association for Information Science and Technology.
dc.identifier.publicationvolume 67
dc.identifier.uxxi AR/0000018415
dc.affiliation.dpto UC3M. Departamento de Economía
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