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dc.contributor.authorMaricato, João de Melo-
dc.contributor.authorVilan Filho, Jayme Leiro-
dc.date.accessioned2018-06-11T14:12:31Z-
dc.date.available2018-06-11T14:12:31Z-
dc.date.issued2018-03-
dc.identifier.citationMARICATO, João de Melo; VILAN FILHO, Jayme Leiro. The potential for altmetrics to measure other types of impact in scientific production: academic and social impact dynamics in social media and networks. Information Research, v. 23, n. 1, mar. 2018. Disponível em: <http://www.informationr.net/ir/23-1/infres231.html>. Acesso em: 11 jun. 2018.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/32082-
dc.language.isoInglêspt_BR
dc.publisherUniversity of Borås, Sweden with technical support from Lund University, Swedenpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleThe potential for altmetrics to measure other types of impact in scientific production : academic and social impact dynamics in social media and networkspt_BR
dc.typeArtigopt_BR
dc.subject.keywordAltmetriapt_BR
dc.subject.keywordRedes sociaispt_BR
dc.subject.keywordProdução científicapt_BR
dc.rights.licenseInformation Research: an international electronic journal, is published four times a year by the University of Borås, Sweden with technical support from Lund University, Sweden These works are licensed under a Creative Commons License (Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales (CC BY-NC-ND 2.0 UK)). The licensors are the authors of each respective article. Fonte: http://www.informationr.net/ir/23-1/infres231.html. Acesso em: 11 jun. 2018.pt_BR
dc.description.abstract1Introduction. Altmetrics is an area under construction, with a potential to study the impacts of academic products from social media data. It is believed that altmetrics can capture social and academic impacts, going beyond measures obtained using bibliometric and scientometric indicators. This research aimed to analyse aspects, characteristics and potentialities for the measuring of the social impact provided by altmetrics in social media. Method. 100 papers with higher altmetric scores were gathered from SciELO’s database using the altmetric.com tool. Analysis. Profiles from individuals on Facebook and Twitter acting or reacting to the papers were analysed. These profiles were categorized as Social Impact and Academic Impact. Results. The results strongly indicate the impact measured using altmetrics greatly reproduces the scientist-to-scientist relation, as do bibliometrics and scientometrics. Conclusion. The social impact measured by actions and interactions on Facebook and Twitter reach a significant 36%, attesting the potentiality of altmetrics for measurement, in addition to the academic impact and the impact of scientific results in society. Disponível em: <http://www.informationr.net/ir/23-1/paper780.html 1/>. Acesso em: 11 jun. 2018.pt_BR
dc.description.unidadeFaculdade de Ciência da Informação (FCI)-
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