The objective of this article is: a) to identify Peruvian researchers with high, medium and low impact factor according to Web of Science and Scopus databases; b) to identify the bibliometric factor with the highest influence on h-index of Peruvian esearchers; c) to compare h-index between Web of Science and Scopus, at an individual and institutional level. Data were collected from Web of Science and Scopus (189 Peruvian researchers, 28 institutions on Web of Science and 33 on Scopus), between September 1823, 2013. Then, institutional registries were created and linear regression analysis with stepwise procedure was run to identify bibliometric factors with higher influence on the h-index of Peruvian researchers. Web of Science and Scopus showed interesting simmilarities in the h-index of Peruvian academic institutions. At individual level, documents indexed in citation database had the highest influence on the h-index. Regression model identified bibliometric factors with higher influence on the h-index of Peruvian researchers, however further large scale studies are needed to improve external validity.@en
Array ( [dateOfAvailability] => Array ( [pt] => Array ( [0] => Array ( [2] => 115192 ) ) ) [hasAuthor] => Array ( [nn] => Array ( [0] => Array ( [Carlos Vílchez Román] => 62356 ) ) ) [hasFileStorage] => Array ( [nn] => Array ( [0] => Array ( [_repository/442/2019/06/oai_scielo_S0103-37862014000200143#00027.pdf] => 117924 ) ) ) [hasPageEnd] => Array ( [pt] => Array ( [0] => Array ( [154] => 1875 ) ) ) [hasPageStart] => Array ( [pt] => Array ( [0] => Array ( [143] => 994 ) ) ) [hasSectionOf] => Array ( [pt] => Array ( [0] => Array ( [Artigo] => 3 ) ) ) [hasSubject] => Array ( [en] => Array ( [0] => Array ( [Bibliometric indicators] => 268466 ) [1] => Array ( [H-index] => 9244 ) [2] => Array ( [Peruvian researchers] => 116598 ) [3] => Array ( [Scientific production] => 273771 ) ) [pt] => Array ( [0] => Array ( [Indicadores bibliométricos] => 199444 ) [1] => Array ( [Índice h] => 199171 ) [2] => Array ( [Pesquisadores peruanos] => 116599 ) [3] => Array ( [Produção científica] => 261508 ) ) ) [hasIssueOf] => Array ( [pt] => Array ( [0] => Array ( [ISSUE:JNL:00027-2014-26-2] => 116578 ) ) ) [isPartOfSource] => Array ( [pt] => Array ( [0] => Array ( [Transinformação] => 442 ) ) ) [hasAbstract] => Array ( [en] => Array ( [0] => Array ( [The objective of this article is: a) to identify Peruvian researchers with high, medium and low impact factor according to Web of Science and Scopus databases; b) to identify the bibliometric factor with the highest influence on h-index of Peruvian esearchers; c) to compare h-index between Web of Science and Scopus, at an individual and institutional level. Data were collected from Web of Science and Scopus (189 Peruvian researchers, 28 institutions on Web of Science and 33 on Scopus), between September 1823, 2013. Then, institutional registries were created and linear regression analysis with stepwise procedure was run to identify bibliometric factors with higher influence on the h-index of Peruvian researchers. Web of Science and Scopus showed interesting simmilarities in the h-index of Peruvian academic institutions. At individual level, documents indexed in citation database had the highest influence on the h-index. Regression model identified bibliometric factors with higher influence on the h-index of Peruvian researchers, however further large scale studies are needed to improve external validity.] => 0 ) ) [pt] => Array ( [0] => Array ( [Os objetivos deste artigo são: a) identificar os pesquisadores peruanos com alto, médio e baixo impacto de acordo com as bases de dados Web of Science e Scopus; b) identificar o fator bibliométrico com maior influência sobre o índice h dos pesquisadores peruanos; c) comparar o índice h entre Web of Science e Scopus, em âmbito individual e institucional. Foram recuperados dados das bases Web of Science e Scopus entre 18 e 23 de setembro de 2013 (189 pesquisadores peruanos em Scopus, 28 instituições no Web of Science e 33 no Scopus). Foram criados registros individuais e institucionais e se realizada análise de regressão linear com procedimento passo a passo para identificar os fatores bibliométricos com maior influência no índice h de pesquisadores peruanos. As bases de dados Web of Science e Scopus mostraram similitudes interessantes no índice h das instituições peruanas. A nível individual, os documentos indexados na base de dados de citação tiveram maior influência sobre o índice h. O modelo de regressão identificou fatores bibliométricos com alta influência no índice h de pesquisadores peruanos, porém recomenda-se a realização de estudos de grande escala para melhorar a validade observada.] => 0 ) ) ) [hasID] => Array ( [nn] => Array ( [0] => Array ( [oai:scielo:S0103-37862014000200143] => 0 ) ) ) [hasRegisterId] => Array ( [pt] => Array ( [0] => Array ( [S0103-37862014000200143] => 0 ) [1] => Array ( [10.1590/0103-37862014000200004] => 0 ) ) ) [hasSource] => Array ( [pt] => Array ( [0] => Array ( [Transinformação, v. 26, n. 2, 2014.] => 0 ) ) ) [hasTitle] => Array ( [en] => Array ( [0] => Array ( [Bibliometric factors associated with h-index of Peruvian researchers with publications indexed on Web of Science and Scopus databases] => 0 ) ) [pt] => Array ( [0] => Array ( [Fatores bibliométricos associados ao índice h de pesquisadores peruanos com publicações indexadas nas bases de dados Web of Science e Scopus] => 0 ) ) ) [hasUrl] => Array ( [pt] => Array ( [0] => Array ( [http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-37862014000200143&lng=en&nrm=iso] => 0 ) [1] => Array ( [http://www.scielo.br/scielo.php?script=sci_abstract&pid=S0103-37862014000200143&lng=en&nrm=iso] => 0 ) [2] => Array ( [http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0103-37862014000200143&lng=en&nrm=iso] => 0 ) ) ) [prefLabel] => Array ( [pt] => Array ( [0] => Array ( [Oai:scielo:s0103-37862014000200143#00027] => 0 ) ) ) )
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