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The Question of Data Integrity in Article-Level Metrics.
Gordon, Gregg; Lin, Jennifer; Cave, Richard; Dandrea, Ralph.
Afiliação
  • Gordon G; Social Science Research Network, Rochester, New York, United States of America.
  • Lin J; Public Library of Science, San Francisco, California, United States of America.
  • Cave R; Public Library of Science, San Francisco, California, United States of America; Independent, San Francisco, California, United States of America.
  • Dandrea R; Social Science Research Network, Rochester, New York, United States of America.
PLoS Biol ; 13(8): e1002161, 2015 Aug.
Article em En | MEDLINE | ID: mdl-26296237
ABSTRACT
Interest in and use of article-level metrics (ALMs) has grown rapidly amongst the research community, by researchers, publishers, funders, and research institutions. As this happens, it is critical to ensure secure and reliable data that is trustworthy and can be used by all. Two case studies are presented, which illustrate different approaches to establishing ALM data integrity.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bibliometria / Má Conduta Científica / Pesquisa Biomédica / Confiabilidade dos Dados Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bibliometria / Má Conduta Científica / Pesquisa Biomédica / Confiabilidade dos Dados Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article