Handling self-citations using Google Scholar
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/14427 |
Resumo: | The increasing use of citation impact indexes for evaluation and comparison not only of individual researchers but also of institutions, universities and even countries has prompted the development of new citation metrics. Currently, the number of publications and citations is widely accepted as an easy and balanced way to compare scientists. Calculation of such statistics depends on the availability of a comprehensive database of publications and their citations. Google Scholar aims at providing such a service and is currently the most widely used freely available search engine for scientific and academic literature. However, the citations generally used to calculate citation statistics include self-citations, which deviates from the intention of using citations as a reflection of research impact. To the best of our knowledge, there are no available tools for calculating citation statistics that account for self-citations. We present a web-based service CIDS (Citation Impact Discerning Self-citations), that takes into account self-citations. An assessment of CIDS in a research team has shown that both the number of citations and the h-index is sensitive to self-citations at the individual level, the h-index increasing 24% on average when considering them. However, self-citation is highly variable among individuals and its contribution highly variable. We conclude that at the individual and research unit level, self-citations are not dismissible when calculating citation statistics. Even the h-index is influenced by self-citation and comparing individuals without taking them in account can produce misleading results. CIDS is available at: http://xldb.fc.ul.pt/tools/cids/. |
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Handling self-citations using Google ScholarBibliometricsCitation Analysish-indexSelf-citationThe increasing use of citation impact indexes for evaluation and comparison not only of individual researchers but also of institutions, universities and even countries has prompted the development of new citation metrics. Currently, the number of publications and citations is widely accepted as an easy and balanced way to compare scientists. Calculation of such statistics depends on the availability of a comprehensive database of publications and their citations. Google Scholar aims at providing such a service and is currently the most widely used freely available search engine for scientific and academic literature. However, the citations generally used to calculate citation statistics include self-citations, which deviates from the intention of using citations as a reflection of research impact. To the best of our knowledge, there are no available tools for calculating citation statistics that account for self-citations. We present a web-based service CIDS (Citation Impact Discerning Self-citations), that takes into account self-citations. An assessment of CIDS in a research team has shown that both the number of citations and the h-index is sensitive to self-citations at the individual level, the h-index increasing 24% on average when considering them. However, self-citation is highly variable among individuals and its contribution highly variable. We conclude that at the individual and research unit level, self-citations are not dismissible when calculating citation statistics. Even the h-index is influenced by self-citation and comparing individuals without taking them in account can produce misleading results. CIDS is available at: http://xldb.fc.ul.pt/tools/cids/.http://www.cindoc.csic.es/cybermetrics/articles/v13i1p2.htmlInternational Journal of Scientometrics, Informetrics and BibliometricsRepositório da Universidade de LisboaCouto, Francisco MGrego, TiagoPesquita, CatiaVerissimo, Paulo2010-01-25T10:25:55Z20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/14427http://www.cindoc.csic.es/cybermetrics/articles/v13i1p2.htmlreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPeng1137-5019info:eu-repo/semantics/openAccess2023-11-08T16:00:16Zoai:repositorio.ul.pt:10451/14427Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:36:11.542605Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Handling self-citations using Google Scholar |
title |
Handling self-citations using Google Scholar |
spellingShingle |
Handling self-citations using Google Scholar Couto, Francisco M Bibliometrics Citation Analysis h-index Self-citation |
title_short |
Handling self-citations using Google Scholar |
title_full |
Handling self-citations using Google Scholar |
title_fullStr |
Handling self-citations using Google Scholar |
title_full_unstemmed |
Handling self-citations using Google Scholar |
title_sort |
Handling self-citations using Google Scholar |
author |
Couto, Francisco M |
author_facet |
Couto, Francisco M Grego, Tiago Pesquita, Catia Verissimo, Paulo |
author_role |
author |
author2 |
Grego, Tiago Pesquita, Catia Verissimo, Paulo |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Couto, Francisco M Grego, Tiago Pesquita, Catia Verissimo, Paulo |
dc.subject.por.fl_str_mv |
Bibliometrics Citation Analysis h-index Self-citation |
topic |
Bibliometrics Citation Analysis h-index Self-citation |
description |
The increasing use of citation impact indexes for evaluation and comparison not only of individual researchers but also of institutions, universities and even countries has prompted the development of new citation metrics. Currently, the number of publications and citations is widely accepted as an easy and balanced way to compare scientists. Calculation of such statistics depends on the availability of a comprehensive database of publications and their citations. Google Scholar aims at providing such a service and is currently the most widely used freely available search engine for scientific and academic literature. However, the citations generally used to calculate citation statistics include self-citations, which deviates from the intention of using citations as a reflection of research impact. To the best of our knowledge, there are no available tools for calculating citation statistics that account for self-citations. We present a web-based service CIDS (Citation Impact Discerning Self-citations), that takes into account self-citations. An assessment of CIDS in a research team has shown that both the number of citations and the h-index is sensitive to self-citations at the individual level, the h-index increasing 24% on average when considering them. However, self-citation is highly variable among individuals and its contribution highly variable. We conclude that at the individual and research unit level, self-citations are not dismissible when calculating citation statistics. Even the h-index is influenced by self-citation and comparing individuals without taking them in account can produce misleading results. CIDS is available at: http://xldb.fc.ul.pt/tools/cids/. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009 2009-01-01T00:00:00Z 2010-01-25T10:25:55Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/14427 |
url |
http://hdl.handle.net/10451/14427 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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1137-5019 |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
International Journal of Scientometrics, Informetrics and Bibliometrics |
publisher.none.fl_str_mv |
International Journal of Scientometrics, Informetrics and Bibliometrics |
dc.source.none.fl_str_mv |
http://www.cindoc.csic.es/cybermetrics/articles/v13i1p2.html reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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