{"data":{"id":"10.6084/m9.figshare.5856795.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.5856795.v1","prefix":"10.6084","suffix":"m9.figshare.5856795.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Salustiano, Skrol","nameType":"Personal","givenName":"Skrol","familyName":"Salustiano","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-1396-1199","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Modelo de Indicadores para a análise altmetrica das redes sociais"}],"publisher":"figshare","container":{},"publicationYear":2018,"subjects":[{"subject":"80704 Information Retrieval and Web Search","subjectScheme":"FOR"},{"subject":"FOS: Media and communications","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Media and communications","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"80705 Informetrics","subjectScheme":"FOR"},{"subject":"80709 Social and Community Informatics","subjectScheme":"FOR"},{"subject":"140305 Time-Series Analysis","subjectScheme":"FOR"},{"subject":"FOS: Economics and business","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Economics and business","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"140304 Panel Data Analysis","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2018-02-06","dateType":"Created"},{"date":"2018-03-05","dateType":"Updated"},{"date":"2018","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.5856795","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["3279872 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Nas últimas décadas as métricas para a avaliação e ranqueamento da produção científica tornaram-se assuntos que têm atraído a atenção de pesquisadores e agências de fomento em busca de indicadores que possibilitem a manutenção de um parâmetro para diferentes tipos de avaliações. Na tentativa de atender essa demanda surgiram as métricas alternativas. Um novo subcampo dos estudos métricos da informação cuja finalidade é medir a disseminação de documentos científicos nas mídias sociais. Os estudos de sua viabilidade ainda estão em fase de desenvolvimento, e na maioria dos casos são comparados com vários outros indicadores que surgiram ao longo dos anos cujo objetivo era tentar oferecer informações mais refinadas sobre a disseminação e/ou impacto das publicações de artigos científicos. Com base nestas questões sobre como medir o impacto da produção científica e utilizando do conhecimento e informações que podem ser extraídas das mídias sociais e também levando em consideração suas particularidades e peculiaridades, é que desenvolvemos essa pesquisa, cuja proposta é utilizar os dados gerados pela ferramenta Altmetric.com para a construção de indicadores que possa auxiliar nos estudos métricos da informação. 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