Altmetric data aggregators: analyzing altmetric.com and webometric analyst
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Publication Date: | 2021 |
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Format: | Article |
Language: | por |
Source: | Encontros Bibli |
Download full: | https://periodicos.ufsc.br/index.php/eb/article/view/78797 |
Summary: | Objective: reports the experience of using altmetric data aggregators Altmetric.com and Webometric Analyst, in a study on the presence of articles from Brazilian scientific journals on Information Science on social media platforms. Methods: the study was characterized as descriptive, of qualitative and quantitative nature, which analyzed the aggregators Altmetric.com and Webometric Analyst. The corpus used to test them consisted of 13 Brazilian journals in Information Science, encompassing 2,724 scientific articles published in the period from 2011 to 2018. Result: from the use of the two aggregators to collect altmetric data about articles from Brazilian journals in Information Science, it was primarily verified that different methodologies and tools generate different results, with discrepancies and specific similarities. It was also noticed that the DOI numbers of some articles were incorrect, that is, the link of these DOIs pointed to an error page in CrossRef, assuming that was the reason for the small number of positive results in the Altmetric.com via API. Although the Webometric Analyst has shown greater coverage of altmetric data for articles from Brazilian journals in Information Science, possibly due to the search strategy used, in this case author, title and year, some inconsistencies were noticed in Mendeley, such as an article with different versions or with different publication dates, showing divergent counts of readers for the same article. Conclusions: it is considered that the tools used for generating altmetric data should be understood as facilitators of data collection on social media platforms, however one must be aware of the scope and limitations of each of these tools, as well as of the collection chosen for testing and capture. As the nature of the platforms is uneven, they can be employed as to complement one another. |
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Altmetric data aggregators: analyzing altmetric.com and webometric analystAgregadores de dados altmétricos: analisando o altmetric.com e o webometric analystAltmetricAltmetric data aggregatorsAltmetric.com APIWebometric AnalystAltmetriaAgregadores de dados altmétricosPI do Altmetric.comWebometric AnalystObjective: reports the experience of using altmetric data aggregators Altmetric.com and Webometric Analyst, in a study on the presence of articles from Brazilian scientific journals on Information Science on social media platforms. Methods: the study was characterized as descriptive, of qualitative and quantitative nature, which analyzed the aggregators Altmetric.com and Webometric Analyst. The corpus used to test them consisted of 13 Brazilian journals in Information Science, encompassing 2,724 scientific articles published in the period from 2011 to 2018. Result: from the use of the two aggregators to collect altmetric data about articles from Brazilian journals in Information Science, it was primarily verified that different methodologies and tools generate different results, with discrepancies and specific similarities. It was also noticed that the DOI numbers of some articles were incorrect, that is, the link of these DOIs pointed to an error page in CrossRef, assuming that was the reason for the small number of positive results in the Altmetric.com via API. Although the Webometric Analyst has shown greater coverage of altmetric data for articles from Brazilian journals in Information Science, possibly due to the search strategy used, in this case author, title and year, some inconsistencies were noticed in Mendeley, such as an article with different versions or with different publication dates, showing divergent counts of readers for the same article. Conclusions: it is considered that the tools used for generating altmetric data should be understood as facilitators of data collection on social media platforms, however one must be aware of the scope and limitations of each of these tools, as well as of the collection chosen for testing and capture. As the nature of the platforms is uneven, they can be employed as to complement one another.Objetivo: relata a experiência de utilização dos agregadores de dados altmétricos Altmetric.com e do Webometric Analyst, em um estudo sobre a presença dos artigos de revistas científicas brasileiras da Ciência da Informação nas plataformas de mídias sociais. Método: o estudo foi caracterizado como descritivo, de natureza qualiquantitativa, cujo objeto de análise foram os agregadores Altmetric.com e Webometric Analyst. O corpus utilizado para testá-los constituiu-se de 13 periódicos brasileiros da área da Ciência da Informação, englobando 2.724 artigos científicos publicados no período de 2011 a 2018. Resultado: a partir da utilização desses agregadores para coletar dados altmétricos sobre artigos de periódicos brasileiros em Ciência da Informação, pode-se constatar primariamente que distintas metodologias e ferramentas geram diferentes resultados, com discrepâncias e semelhanças pontuais. Percebeu-se também que os números de DOIs de alguns artigos de periódicos estavam incorretos, isto é, o link destes DOIs remetia a uma página de erro na CrossRef, presumindo-se que a baixa quantidade de resultados positivos de dados altmétricos no Altmetric.com via API deve-se a isso. Embora o Webometric Analyst tenha apresentado uma maior cobertura de dados altmétricos para os artigos de periódicos brasileiros em Ciência da Informação, possivelmente pela forma de busca de dados utilizada, neste caso autor, título e ano, foram percebidas algumas inconsistências no Mendeley, como um artigo com diferentes versões ou com datas de publicação distintas, mostrando divergentes contagens de leitores para um mesmo artigo. Conclusões: considera-se que as ferramentas utilizadas para gerar dados altmétricos devem ser entendidas como facilitadores da coleta de dados em plataformas de mídias sociais, porém deve-se estar atento à abrangência e limitação de cada uma dessas ferramentas, assim como da coleção escolhida para teste e captura de dados. Como a natureza das plataformas é desigual, elas podem ser utilizadas de modo complementar em estudos altmétricos. Departamento de Ciência da Informação – UFSC2021-10-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://periodicos.ufsc.br/index.php/eb/article/view/7879710.5007/1518-2924.2021.78797Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; Vol. 26 No. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-19Encontros Bibli: revista electrónica de bibliotecología y ciencias de la información.; Vol. 26 Núm. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-19Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 26 n. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-191518-2924reponame:Encontros Bibliinstname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCporhttps://periodicos.ufsc.br/index.php/eb/article/view/78797/47421https://periodicos.ufsc.br/index.php/eb/article/view/78797/54036Copyright (c) 2021 Vildeane da Rocha Borba, Sônia Elisa Caregnatohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBorba, Vildeane da RochaCaregnato, Sônia Elisa 2023-08-21T12:42:42Zoai:periodicos.ufsc.br:article/78797Revistahttps://periodicos.ufsc.br/index.php/eb/indexPUBhttps://periodicos.ufsc.br/index.php/eb/oaiencontrosbibli@contato.ufsc.br||portaldeperiodicos.bu@contato.ufsc.br1518-29241518-2924opendoar:2023-08-21T12:42:42Encontros Bibli - Universidade Federal de Santa Catarina (UFSC)false |
dc.title.none.fl_str_mv |
Altmetric data aggregators: analyzing altmetric.com and webometric analyst Agregadores de dados altmétricos: analisando o altmetric.com e o webometric analyst |
title |
Altmetric data aggregators: analyzing altmetric.com and webometric analyst |
spellingShingle |
Altmetric data aggregators: analyzing altmetric.com and webometric analyst Borba, Vildeane da Rocha Altmetric Altmetric data aggregators Altmetric.com API Webometric Analyst Altmetria Agregadores de dados altmétricos PI do Altmetric.com Webometric Analyst |
title_short |
Altmetric data aggregators: analyzing altmetric.com and webometric analyst |
title_full |
Altmetric data aggregators: analyzing altmetric.com and webometric analyst |
title_fullStr |
Altmetric data aggregators: analyzing altmetric.com and webometric analyst |
title_full_unstemmed |
Altmetric data aggregators: analyzing altmetric.com and webometric analyst |
title_sort |
Altmetric data aggregators: analyzing altmetric.com and webometric analyst |
author |
Borba, Vildeane da Rocha |
author_facet |
Borba, Vildeane da Rocha Caregnato, Sônia Elisa |
author_role |
author |
author2 |
Caregnato, Sônia Elisa |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Borba, Vildeane da Rocha Caregnato, Sônia Elisa |
dc.subject.por.fl_str_mv |
Altmetric Altmetric data aggregators Altmetric.com API Webometric Analyst Altmetria Agregadores de dados altmétricos PI do Altmetric.com Webometric Analyst |
topic |
Altmetric Altmetric data aggregators Altmetric.com API Webometric Analyst Altmetria Agregadores de dados altmétricos PI do Altmetric.com Webometric Analyst |
description |
Objective: reports the experience of using altmetric data aggregators Altmetric.com and Webometric Analyst, in a study on the presence of articles from Brazilian scientific journals on Information Science on social media platforms. Methods: the study was characterized as descriptive, of qualitative and quantitative nature, which analyzed the aggregators Altmetric.com and Webometric Analyst. The corpus used to test them consisted of 13 Brazilian journals in Information Science, encompassing 2,724 scientific articles published in the period from 2011 to 2018. Result: from the use of the two aggregators to collect altmetric data about articles from Brazilian journals in Information Science, it was primarily verified that different methodologies and tools generate different results, with discrepancies and specific similarities. It was also noticed that the DOI numbers of some articles were incorrect, that is, the link of these DOIs pointed to an error page in CrossRef, assuming that was the reason for the small number of positive results in the Altmetric.com via API. Although the Webometric Analyst has shown greater coverage of altmetric data for articles from Brazilian journals in Information Science, possibly due to the search strategy used, in this case author, title and year, some inconsistencies were noticed in Mendeley, such as an article with different versions or with different publication dates, showing divergent counts of readers for the same article. Conclusions: it is considered that the tools used for generating altmetric data should be understood as facilitators of data collection on social media platforms, however one must be aware of the scope and limitations of each of these tools, as well as of the collection chosen for testing and capture. As the nature of the platforms is uneven, they can be employed as to complement one another. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufsc.br/index.php/eb/article/view/78797 10.5007/1518-2924.2021.78797 |
url |
https://periodicos.ufsc.br/index.php/eb/article/view/78797 |
identifier_str_mv |
10.5007/1518-2924.2021.78797 |
dc.language.iso.fl_str_mv |
por |
language |
por |
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https://periodicos.ufsc.br/index.php/eb/article/view/78797/47421 https://periodicos.ufsc.br/index.php/eb/article/view/78797/54036 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Vildeane da Rocha Borba, Sônia Elisa Caregnato https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Vildeane da Rocha Borba, Sônia Elisa Caregnato https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Departamento de Ciência da Informação – UFSC |
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Departamento de Ciência da Informação – UFSC |
dc.source.none.fl_str_mv |
Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; Vol. 26 No. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-19 Encontros Bibli: revista electrónica de bibliotecología y ciencias de la información.; Vol. 26 Núm. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-19 Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 26 n. Especial (2021): O compartilhamento de dados e a pesquisa bibliométrica e cientométrica; 1-19 1518-2924 reponame:Encontros Bibli instname:Universidade Federal de Santa Catarina (UFSC) instacron:UFSC |
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Universidade Federal de Santa Catarina (UFSC) |
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UFSC |
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Encontros Bibli |
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Encontros Bibli |
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Encontros Bibli - Universidade Federal de Santa Catarina (UFSC) |
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encontrosbibli@contato.ufsc.br||portaldeperiodicos.bu@contato.ufsc.br |
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