dc.contributor.author | Golosovsky, Michael | |
dc.contributor.author | Larivière, Vincent | |
dc.date.accessioned | 2021-11-02T18:36:13Z | |
dc.date.available | NO_RESTRICTION | fr |
dc.date.available | 2021-11-02T18:36:13Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://hdl.handle.net/1866/25784 | |
dc.publisher | MIT Press | fr |
dc.rights | Ce document est mis à disposition selon les termes de la Licence Creative Commons Paternité 4.0 International. / This work is licensed under a Creative Commons Attribution 4.0 International License. | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Citation analysis | fr |
dc.subject | Citation dynamics | fr |
dc.subject | Uncitedness | fr |
dc.title | Uncited papers are not useless | fr |
dc.type | Article | fr |
dc.contributor.affiliation | Université de Montréal. Faculté des arts et des sciences. École de bibliothéconomie et des sciences de l'information | fr |
dc.identifier.doi | 10.1162/qss_a_00142 | |
dcterms.abstract | We study the citation dynamics of the papers published in three scientific disciplines (Physics,
Economics, and Mathematics) and four broad scientific categories (Medical, Natural, Social
Sciences, and Arts & Humanities). We measure the uncitedness ratio, namely, the fraction of
uncited papers in these data sets and its dependence on the time following publication. These
measurements are compared with a model of citation dynamics that considers acquiring
citations as an inhomogeneous Poisson process. The model captures the fraction of uncited
papers in our collections fairly well, suggesting that uncitedness is an inevitable consequence
of the Poisson statistics. | fr |
dcterms.isPartOf | urn:ISSN:2641-3337 | fr |
dcterms.language | eng | fr |
UdeM.ReferenceFournieParDeposant | https://doi.org/10.1162/qss_a_00142 | fr |
UdeM.VersionRioxx | Version publiée / Version of Record | fr |
oaire.citationTitle | Quantitative science studies | fr |