Artigo

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

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...

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Autor principal: Pacheco, André
Outros Autores: Sousa, Alexandre, Yanai, Angela Emi, Lopes, Susana, Machado, Luís
Grau: Artigo
Idioma: eng
Publicado em: Universidad de Salamanca 2022
Assuntos:
Acesso em linha: http://riu.ufam.edu.br/handle/prefix/6283
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recordtype dspace
spelling oai:localhost:prefix-62832025-03-10T20:26:49Z 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 Sousa, Alexandre Yanai, Angela Emi Lopes, Susana Machado, Luís Altmetrics Open access Bibliometrics Spearman’s correlation coefficient CIENCIAS SOCIAIS APLICADAS: CIENCIA DA INFORMACAO::BIBLIOTECONOMIA: METODOS QUANTITATIVOS. BIBLIOMETRIA Acesso Aberto Bibliometria 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. Salamanca - Espanha 1 Não 2022-09-09T15:01:03Z 2022-09-09 2022-09-09T15:01:03Z 2018-10-24 2018-10-24 Artigo de Evento 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 eng TEEM'18 - Technological Ecosystems for Enhancing Multiculturality Acesso Aberto Universidad de Salamanca Espanha Salamanca
institution Repositório Institucional - Universidade Federal do Amazonas
collection RI-UFAM
language eng
topic Altmetrics
Open access
Bibliometrics
Spearman’s correlation coefficient
CIENCIAS SOCIAIS APLICADAS: CIENCIA DA INFORMACAO::BIBLIOTECONOMIA: METODOS QUANTITATIVOS. BIBLIOMETRIA
Acesso Aberto
Bibliometria
spellingShingle Altmetrics
Open access
Bibliometrics
Spearman’s correlation coefficient
CIENCIAS SOCIAIS APLICADAS: CIENCIA DA INFORMACAO::BIBLIOTECONOMIA: METODOS QUANTITATIVOS. BIBLIOMETRIA
Acesso Aberto
Bibliometria
Pacheco, André
Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
topic_facet 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.
format Artigo
author Pacheco, André
author2 Sousa, Alexandre
Yanai, Angela Emi
Lopes, Susana
Machado, Luís
author2Str Sousa, Alexandre
Yanai, Angela Emi
Lopes, Susana
Machado, Luís
title Metrics and altmetrics: an exploratory study of a possible correlation between the most cited papers in open and restricted access in 2016-2018
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
publisher Universidad de Salamanca
publishDate 2022
url http://riu.ufam.edu.br/handle/prefix/6283
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score 11.753735