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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...
Autor principal: | Pacheco, André |
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Outros Autores: | Sousa, Alexandre, Yanai, Angela Emi, Lopes, Susana, Machado, Luís |
Grau: | Artigo |
Idioma: | eng |
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Universidad de Salamanca
2022
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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 |
_version_ |
1831969837056786432 |
score |
11.753735 |