A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)

Detalhes bibliográficos
Autor(a) principal: Cardoso Sampaio, Rafael
Data de Publicação: 2021
Outros Autores: Lycarião, Diógenes, Codato, Adriano, Marioto, Djiovanni, Bittencourt, Maiane, Nichols, Bruno
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1913
Resumo: The article presents a scientometric analysis of 3.484 articles published between 2002 and 2019 in the SciELO database that refer to content analysis (CA) in terms of the number of publications, journals, and cited references. The results showed that the Life Sciences college presents the highest volume of articles and the most heterogeneous bibliography. This result challenges the previous studies that highlighted Human Sciences disciplines as the preferred fields for using the technique. There was used the cocitation analysis network through the VOSviewer, and it was detected a high predominance of the Laurence Bardin’s manual in all the colleges observed. This result confirms findings from previous studies, but on an unprecedented scale and disciplinary diversity. We argue that this concentration tends to reveal a flagrant gap between the advancement of specialized literature on the methodology and its respective use by the Brazilian scientific community, which may be thoughtless and outdated.
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spelling A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)Uma técnica parada no tempo? Mapeamento da produção científica baseada em análise de conteúdo na SciELO Brasil (2002-19)Métodos de AnáliseAnálise de DadosPesquisa QualitativaAnalytical MethodsData AnalysisQualitative ResearchThe article presents a scientometric analysis of 3.484 articles published between 2002 and 2019 in the SciELO database that refer to content analysis (CA) in terms of the number of publications, journals, and cited references. The results showed that the Life Sciences college presents the highest volume of articles and the most heterogeneous bibliography. This result challenges the previous studies that highlighted Human Sciences disciplines as the preferred fields for using the technique. There was used the cocitation analysis network through the VOSviewer, and it was detected a high predominance of the Laurence Bardin’s manual in all the colleges observed. This result confirms findings from previous studies, but on an unprecedented scale and disciplinary diversity. We argue that this concentration tends to reveal a flagrant gap between the advancement of specialized literature on the methodology and its respective use by the Brazilian scientific community, which may be thoughtless and outdated.O artigo apresenta uma análise cientométrica de 3.484 artigos publicados entre 2002 e 2019 na base SciELO que fazem referência à análise de conteúdo (AC) em termos de número de publicação, periódicos e referências acionadas. Os resultados demonstraram que o colégio de Ciências da Vida apresenta não apenas o maior volume de trabalhos, mas também de heterogeneidade de referências. Esse resultado desafia estudos anteriores que destacavam as disciplinas das Ciências Humanas como lugar preferencial de utilização do método. Para isso, foi utilizada a análise de cocitação através do VOSviewer e detectada uma grande predominância do manual de Laurence Bardin em todos os colégios observados. Esse resultado confirma achados de estudos anteriores, mas em uma escala e diversidade disciplinar inéditas. Argumentamos que essa concentração tende a revelar um flagrante descompasso entre o avanço da literatura especializada sobre a metodologia e seu respectivo uso pela comunidade científica brasileira, que pode estar sendo irrefletido e desatualizado.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-03-01info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/191310.1590/SciELOPreprints.1913porhttps://preprints.scielo.org/index.php/scielo/article/view/1913/3105Copyright (c) 2021 Rafael Cardoso Sampaio, Diógenes Lycarião, Adriano Nervo Codato, Djiovanni Jonas França Marioto, Maiane Bittencourt , Bruno Washington Nicholshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCardoso Sampaio, RafaelLycarião, DiógenesCodato, Adriano Marioto, Djiovanni Bittencourt, MaianeNichols, Brunoreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-02-25T19:15:45Zoai:ops.preprints.scielo.org:preprint/1913Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-02-25T19:15:45SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)
Uma técnica parada no tempo? Mapeamento da produção científica baseada em análise de conteúdo na SciELO Brasil (2002-19)
title A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)
spellingShingle A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)
Cardoso Sampaio, Rafael
Métodos de Análise
Análise de Dados
Pesquisa Qualitativa
Analytical Methods
Data Analysis
Qualitative Research
title_short A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)
title_full A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)
title_fullStr A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)
title_full_unstemmed A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)
title_sort A technique stuck in time? Mapping scientific production based on content analysis at SciELO Brazil (2002-19)
author Cardoso Sampaio, Rafael
author_facet Cardoso Sampaio, Rafael
Lycarião, Diógenes
Codato, Adriano
Marioto, Djiovanni
Bittencourt, Maiane
Nichols, Bruno
author_role author
author2 Lycarião, Diógenes
Codato, Adriano
Marioto, Djiovanni
Bittencourt, Maiane
Nichols, Bruno
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cardoso Sampaio, Rafael
Lycarião, Diógenes
Codato, Adriano
Marioto, Djiovanni
Bittencourt, Maiane
Nichols, Bruno
dc.subject.por.fl_str_mv Métodos de Análise
Análise de Dados
Pesquisa Qualitativa
Analytical Methods
Data Analysis
Qualitative Research
topic Métodos de Análise
Análise de Dados
Pesquisa Qualitativa
Analytical Methods
Data Analysis
Qualitative Research
description The article presents a scientometric analysis of 3.484 articles published between 2002 and 2019 in the SciELO database that refer to content analysis (CA) in terms of the number of publications, journals, and cited references. The results showed that the Life Sciences college presents the highest volume of articles and the most heterogeneous bibliography. This result challenges the previous studies that highlighted Human Sciences disciplines as the preferred fields for using the technique. There was used the cocitation analysis network through the VOSviewer, and it was detected a high predominance of the Laurence Bardin’s manual in all the colleges observed. This result confirms findings from previous studies, but on an unprecedented scale and disciplinary diversity. We argue that this concentration tends to reveal a flagrant gap between the advancement of specialized literature on the methodology and its respective use by the Brazilian scientific community, which may be thoughtless and outdated.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1913
10.1590/SciELOPreprints.1913
url https://preprints.scielo.org/index.php/scielo/preprint/view/1913
identifier_str_mv 10.1590/SciELOPreprints.1913
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1913/3105
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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