Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018

Detalhes bibliográficos
Autor(a) principal: Pacheco, André
Data de Publicação: 2018
Outros Autores: Sousa, Alexandre, Yanai, Angela Emi, Lopes, Susana, Machado, Luís
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UFAM
Texto Completo: http://riu.ufam.edu.br/handle/prefix/6283
Resumo: Citations count in reference databases has been consolidated as the traditional method of assessing the impact of a scientific work. However, the recent developments around the diversity of web communication channels triggered the scientific community to start questioning the legitimacy of these metrics as the sole indicators of impact. In this context, alternative metrics based on web indicators have begun to emerge. This study attempts to determine the existence of a correlation between traditional citations and altmetric mentions, while also considering if the type of access — open or restricted — has an influence in the impact of a publication. The study is based on a mixed methodology. The sample was composed by the most cited hot papers extracted from the Web of Science, and the most mentioned papers in Altmetrics, between 2016 and 2018, according to type of access. Their numbers in altmetrics and in reference databases (Web of Science and Scopus) was collected and the data was analyzed using Spearman’s correlation coefficient. It is concluded that there is not a significant correlation between citations and altmetrics mentions, and that the type of access is not relevant for a paper’s success.
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spelling Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018AltmetricsOpen accessBibliometricsSpearman’s correlation coefficientCIENCIAS SOCIAIS APLICADAS: CIENCIA DA INFORMACAO::BIBLIOTECONOMIA: METODOS QUANTITATIVOS. BIBLIOMETRIAAcesso AbertoBibliometriaCitations count in reference databases has been consolidated as the traditional method of assessing the impact of a scientific work. However, the recent developments around the diversity of web communication channels triggered the scientific community to start questioning the legitimacy of these metrics as the sole indicators of impact. In this context, alternative metrics based on web indicators have begun to emerge. This study attempts to determine the existence of a correlation between traditional citations and altmetric mentions, while also considering if the type of access — open or restricted — has an influence in the impact of a publication. The study is based on a mixed methodology. The sample was composed by the most cited hot papers extracted from the Web of Science, and the most mentioned papers in Altmetrics, between 2016 and 2018, according to type of access. Their numbers in altmetrics and in reference databases (Web of Science and Scopus) was collected and the data was analyzed using Spearman’s correlation coefficient. It is concluded that there is not a significant correlation between citations and altmetrics mentions, and that the type of access is not relevant for a paper’s success.Salamanca - Espanha1NãoUniversidad de SalamancaEspanhaSalamanca2022-09-09T15:01:03Z2022-09-092022-09-09T15:01:03Z2018-10-242018-10-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectPACHECO, André; SOUSA, Alexandre; YANAI, Angela; LOPES, Susana; MACHADO, Luis. Metrics and Altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018. In: TEEM'18, 2018, Salamanca. Anais. Salamanca: Universidad de Salamanca, 2018.http://riu.ufam.edu.br/handle/prefix/6283engTEEM'18 - Technological Ecosystems for Enhancing MulticulturalityPacheco, AndréSousa, AlexandreYanai, Angela EmiLopes, SusanaMachado, Luísinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFAMinstname:Universidade Federal do Amazonas (UFAM)instacron:UFAM2022-09-16T22:14:36Zoai:localhost:prefix/6283Repositório InstitucionalPUBhttp://riu.ufam.edu.br/oai/requestopendoar:2022-09-16T22:14:36Repositório Institucional da UFAM - Universidade Federal do Amazonas (UFAM)false
dc.title.none.fl_str_mv Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
title Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
spellingShingle Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
Pacheco, André
Altmetrics
Open access
Bibliometrics
Spearman’s correlation coefficient
CIENCIAS SOCIAIS APLICADAS: CIENCIA DA INFORMACAO::BIBLIOTECONOMIA: METODOS QUANTITATIVOS. BIBLIOMETRIA
Acesso Aberto
Bibliometria
title_short Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
title_full Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
title_fullStr Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
title_full_unstemmed Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
title_sort Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
author Pacheco, André
author_facet Pacheco, André
Sousa, Alexandre
Yanai, Angela Emi
Lopes, Susana
Machado, Luís
author_role author
author2 Sousa, Alexandre
Yanai, Angela Emi
Lopes, Susana
Machado, Luís
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pacheco, André
Sousa, Alexandre
Yanai, Angela Emi
Lopes, Susana
Machado, Luís
dc.subject.por.fl_str_mv Altmetrics
Open access
Bibliometrics
Spearman’s correlation coefficient
CIENCIAS SOCIAIS APLICADAS: CIENCIA DA INFORMACAO::BIBLIOTECONOMIA: METODOS QUANTITATIVOS. BIBLIOMETRIA
Acesso Aberto
Bibliometria
topic Altmetrics
Open access
Bibliometrics
Spearman’s correlation coefficient
CIENCIAS SOCIAIS APLICADAS: CIENCIA DA INFORMACAO::BIBLIOTECONOMIA: METODOS QUANTITATIVOS. BIBLIOMETRIA
Acesso Aberto
Bibliometria
description Citations count in reference databases has been consolidated as the traditional method of assessing the impact of a scientific work. However, the recent developments around the diversity of web communication channels triggered the scientific community to start questioning the legitimacy of these metrics as the sole indicators of impact. In this context, alternative metrics based on web indicators have begun to emerge. This study attempts to determine the existence of a correlation between traditional citations and altmetric mentions, while also considering if the type of access — open or restricted — has an influence in the impact of a publication. The study is based on a mixed methodology. The sample was composed by the most cited hot papers extracted from the Web of Science, and the most mentioned papers in Altmetrics, between 2016 and 2018, according to type of access. Their numbers in altmetrics and in reference databases (Web of Science and Scopus) was collected and the data was analyzed using Spearman’s correlation coefficient. It is concluded that there is not a significant correlation between citations and altmetrics mentions, and that the type of access is not relevant for a paper’s success.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-24
2018-10-24
2022-09-09T15:01:03Z
2022-09-09
2022-09-09T15:01:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv PACHECO, André; SOUSA, Alexandre; YANAI, Angela; LOPES, Susana; MACHADO, Luis. Metrics and Altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018. In: TEEM'18, 2018, Salamanca. Anais. Salamanca: Universidad de Salamanca, 2018.
http://riu.ufam.edu.br/handle/prefix/6283
identifier_str_mv PACHECO, André; SOUSA, Alexandre; YANAI, Angela; LOPES, Susana; MACHADO, Luis. Metrics and Altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018. In: TEEM'18, 2018, Salamanca. Anais. Salamanca: Universidad de Salamanca, 2018.
url http://riu.ufam.edu.br/handle/prefix/6283
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv TEEM'18 - Technological Ecosystems for Enhancing Multiculturality
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidad de Salamanca
Espanha
Salamanca
publisher.none.fl_str_mv Universidad de Salamanca
Espanha
Salamanca
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFAM
instname:Universidade Federal do Amazonas (UFAM)
instacron:UFAM
instname_str Universidade Federal do Amazonas (UFAM)
instacron_str UFAM
institution UFAM
reponame_str Repositório Institucional da UFAM
collection Repositório Institucional da UFAM
repository.name.fl_str_mv Repositório Institucional da UFAM - Universidade Federal do Amazonas (UFAM)
repository.mail.fl_str_mv
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