Altmetrics as a research specialty (Dimensions, 2005-2018) / Carlos Olmeda-Gómez y Antonio Perianes-Rodríguez.

By: Contributor(s): Material type: ArticlePublisher: Madrid : El Profesional de la información, 2019Content type:
  • texto
Media type:
  • computadora
Carrier type:
  • recurso en línea
ISSN:
  • 1699-2407
Subject(s): Genre/Form: DDC classification:
  • 020 23
LOC classification:
  • Z665 .O464 2019
Online resources: Summary: The scientific literature on altmetrics published from 2005 to 2018 was analysed. The overall structure of the speciality's intellectual landscape is depicted through clusters of co-cited references, analysing journal and author co-citations. The 56,936 references cited in the 8,145 papers of all kinds retrieved from the Dimensions bibliographic database were included in the initial dataset used in the analysis. Pathfinder networks were generated with CiteSpace to determine the most prevalent journals and authors in the speciality. Conceptual structures were identified by co-citation clustering and latent semantic analysis. Open knowledge', altmetric collection', web indicator', assessing research', Research- Gate score', open data citation advantage', Google Scholar author citation', share data', academic tweet', Mendeley readership count' and social media metrics' were observed to be the lines of research presently favoured by specialists. Statistical indicators were calculated to determine the journals and contributors making the greatest impact.
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The scientific literature on altmetrics published from 2005 to 2018 was analysed. The overall structure of the speciality's intellectual landscape is depicted through clusters of co-cited references, analysing journal and author co-citations. The 56,936 references cited in the 8,145 papers of all kinds retrieved from the Dimensions bibliographic database were included in the initial dataset used in the analysis. Pathfinder networks were generated with CiteSpace to determine the most prevalent journals and authors in the speciality. Conceptual structures were identified by co-citation clustering and latent semantic analysis. Open knowledge', altmetric collection', web indicator', assessing research', Research- Gate score', open data citation advantage', Google Scholar author citation', share data', academic tweet', Mendeley readership count' and social media metrics' were observed to be the lines of research presently favoured by specialists. Statistical indicators were calculated to determine the journals and contributors making the greatest impact.

Descripción basada en metadatos suministrados por el editor y otras fuentes.

Descripción basada en El Profesional de la información, vol. 28, n. 6 (2019), P. 131-148.

Recurso electrónico. Santa Fe, Arg.: elibro, 2023. Disponible vía World Wide Web. El acceso puede estar limitado para las bibliotecas afiliadas a elibro.