Indicadores bibliométricos em ciência da informação: análise dos pesquisadores mais produtivos no tema estudos métricos na base Scopus
This research aims at analyzing the indicators of impact and relevance - total of published articles, average of citations, total number of citations and index h of the most productive researchers in the Metric Studies field, within periods of the Scopus base by means of a correlation study, determi...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | Brasil |
| Institución: | Universidade Estadual Paulista (UNESP) |
| Repositorio: | Repositório Institucional da UNESP |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.unesp.br:11449/130698 |
| Acceso en línea: | http://dx.doi.org/10.1590/S1413-99362011000400003 http://hdl.handle.net/11449/130698 |
| Access Level: | acceso abierto |
| Palabra clave: | Estudos métricos Indicadores bibliométricos Produção científica Indicadores de citação Índice h Metric studies Bibliometric indicators Scientific production Citation indicators Index h |
| Sumario: | This research aims at analyzing the indicators of impact and relevance - total of published articles, average of citations, total number of citations and index h of the most productive researchers in the Metric Studies field, within periods of the Scopus base by means of a correlation study, determining the best equation of regression of index h due to the total of citations, as well as to all other indicators under analysis. As research procedure, we used the search terms bibliometr* OR scientometr* OR infometr* OR webometr* OR informetr* OR webmemetr* OR paentometr*, obtaining 36 researchers as the most productive ones. For each indicator, the following descriptive statistics were calculated: maximum, minimum, average, standard deviation and coefficient of variation. The coefficient of correlation of Pearson was calculated and adjusted to the equation of regression of index h due to the total of citations. The equation of multiple regression was identified, from index h due to the other indicators. Concluding, we highlight the need for a matching of such indicators to broadly describe a researcher's multifaceted profile, seeing the complementarity of information provided by the indicators of productivity and impact, from distinctive nature. |
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