Scientific collaboration: indicators of co-authorship and sub-authorship in journals indexed at SciELO

• Autor(a) principal: Alvarez, Gonzalo Rubén
• Data de Publicação: 2022
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Em Questão (Online)
• Texto Completo: https://seer.ufrgs.br/index.php/EmQuestao/article/view/119493
• topic: colaboração científica; coautoria; subautoria; cientometria; SciELO; scientific collaboration; co-authorship; sub-authorship; scientometrics; SciELO

Different types of collaboration (formal e informal) are necessary in the scientific activity of different disciplines and areas. Through scientometric indicators, it broadly analyzes contemporary collaborative practices (co-authorship and sub-authorship) in publications of two important Brazilian journals indexed at SciELO, one from Biological Sciences and other from Human Sciences, during the period of 2010 to 2019. The data on co-authorship were collected from papers signed by more than one author, and the data on sub-authorship were collected from publications acknowledgment texts (for material and/or intellectual support) written by the authors. The corpus is composed of 1,100 papers, 758 from Acta Botanica Brasilica and 342 from Revista de Sociologia e Política. It found out that scientific communication context (nationality of the journal and of the indexing database) does not directly influence the collaborative practices, but what does influence is the nature of the research performed in each of the disciplines and areas. High percentages of co-authorship and sub-authorship (financial and technical/instrumental support) identified in Acta Botanica Brasilica evidence the need for different types of collaboration (formal e informal) in experimental areas. The high percentage of acknowledgment for conceptual/PIC support identified in Revista de Sociologia e Política, whose co-authorship rates are lower than those of single authorship, shows the importance of authorship collaboration from invisible colleges. It concludes that the inclusion of databases such as SciELO in scientometric researches is relevant for mapping types of collaboration (authorial and non-authorial) in science from a broadly and different perspective.