Real influence: A novel approach to characterize the visibility of journals and publications

[EN] For the last 50 years, the journal impact factor (IF) has been the most prominent of all bibliometric indicators. Since the first Journal Citation Report was launched, the IF has been used, often improperly, to evaluate institutions, publications, and individuals. Its well-known significant tec...

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Detalles Bibliográficos
Autores: Perianes Rodríguez, Antonio, Mira, Bianca S., Martínez Ávila, Daniel, Grácio, Maria Cláudia Cabrini
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2024
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/22639
Acceso en línea:https://hdl.handle.net/10612/22639
https://doi.org/10.1162/qss_a_00316
Access Level:acceso abierto
Palabra clave:Biblioteconomía
Citation analysis
Citation distributions
Journal impact factor
Percentiles
Skewness of science
5701.06 Documentación
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spelling Real influence: A novel approach to characterize the visibility of journals and publicationsPerianes Rodríguez, AntonioMira, Bianca S.Martínez Ávila, DanielGrácio, Maria Cláudia CabriniBiblioteconomíaCitation analysisCitation distributionsJournal impact factorPercentilesSkewness of science5701.06 Documentación[EN] For the last 50 years, the journal impact factor (IF) has been the most prominent of all bibliometric indicators. Since the first Journal Citation Report was launched, the IF has been used, often improperly, to evaluate institutions, publications, and individuals. Its well-known significant technical limitations have not detracted from its popularity, and they contrast with the lack of consensus over the numerous alternatives suggested as complements or replacements. This paper presents a percentile-distribution-based proposal for assessing the influence of scientific journals and publications that corrects several of the IF’s main technical limitations using the same set of documents as is used to calculate the IF. Nearly 400 journals of Library Science and Information Science and Biochemistry and Molecular Biology categories were analyzed for this purpose. The results show that the new indicator retains many of its predecessor’s advantages and adds benefits of its own: It is more accurate, more gaming resistant, more complete, and less influenced by the citation window or extreme observations.SIThis work was partially supported by the Comunidad de Madrid-Spain under the Multiannual Agreement with UC3M in the line of Excellence of University Professors, project number EPUC3M02. The doctoral dissertation of Bianca S. Mira is partially funded by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Grant No. 88887.831119/2023-00.The MIT PressBiblioteconomia y DocumentacionFacultad de Filosofia y Letras2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttps://hdl.handle.net/10612/22639https://doi.org/10.1162/qss_a_00316reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónInglésinfo:eu-repo/semantics/openAccessoai:buleria.unileon.es:10612/226392026-06-24T12:43:27Z
dc.title.none.fl_str_mv Real influence: A novel approach to characterize the visibility of journals and publications
title Real influence: A novel approach to characterize the visibility of journals and publications
spellingShingle Real influence: A novel approach to characterize the visibility of journals and publications
Perianes Rodríguez, Antonio
Biblioteconomía
Citation analysis
Citation distributions
Journal impact factor
Percentiles
Skewness of science
5701.06 Documentación
title_short Real influence: A novel approach to characterize the visibility of journals and publications
title_full Real influence: A novel approach to characterize the visibility of journals and publications
title_fullStr Real influence: A novel approach to characterize the visibility of journals and publications
title_full_unstemmed Real influence: A novel approach to characterize the visibility of journals and publications
title_sort Real influence: A novel approach to characterize the visibility of journals and publications
dc.creator.none.fl_str_mv Perianes Rodríguez, Antonio
Mira, Bianca S.
Martínez Ávila, Daniel
Grácio, Maria Cláudia Cabrini
author Perianes Rodríguez, Antonio
author_facet Perianes Rodríguez, Antonio
Mira, Bianca S.
Martínez Ávila, Daniel
Grácio, Maria Cláudia Cabrini
author_role author
author2 Mira, Bianca S.
Martínez Ávila, Daniel
Grácio, Maria Cláudia Cabrini
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteconomia y Documentacion
Facultad de Filosofia y Letras
dc.subject.none.fl_str_mv Biblioteconomía
Citation analysis
Citation distributions
Journal impact factor
Percentiles
Skewness of science
5701.06 Documentación
topic Biblioteconomía
Citation analysis
Citation distributions
Journal impact factor
Percentiles
Skewness of science
5701.06 Documentación
description [EN] For the last 50 years, the journal impact factor (IF) has been the most prominent of all bibliometric indicators. Since the first Journal Citation Report was launched, the IF has been used, often improperly, to evaluate institutions, publications, and individuals. Its well-known significant technical limitations have not detracted from its popularity, and they contrast with the lack of consensus over the numerous alternatives suggested as complements or replacements. This paper presents a percentile-distribution-based proposal for assessing the influence of scientific journals and publications that corrects several of the IF’s main technical limitations using the same set of documents as is used to calculate the IF. Nearly 400 journals of Library Science and Information Science and Biochemistry and Molecular Biology categories were analyzed for this purpose. The results show that the new indicator retains many of its predecessor’s advantages and adds benefits of its own: It is more accurate, more gaming resistant, more complete, and less influenced by the citation window or extreme observations.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10612/22639
https://doi.org/10.1162/qss_a_00316
url https://hdl.handle.net/10612/22639
https://doi.org/10.1162/qss_a_00316
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv The MIT Press
publisher.none.fl_str_mv The MIT Press
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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