Acceso usuarios
Carlos Olmeda Gómez 
, Antonio Perianes Rodríguez
Se analiza la bibliografía científica sobre altmétricas publicada entre 2005 y 2018. La estructura general de su paisaje intelectual se caracteriza en términos de concentraciones temáticas de referencias cocitadas. Se aplican análisis de cocitación de revistas y de cocitación de autores. Con una consulta a la base bibliográfica Dimensions se extraen 8.145 documentos de todo tipo y 56.936 referencias citadas que integran el conjunto de datos inicial con el que se acomete el análisis. Se han generado redes Pathfinder usando CiteSpace para representar las revistas y los autores dominantes en la especialidad. La estructura temática de la especialidad se identifica mediante análisis de clusters de autores cocitados y análisis semánticos latentes. La investigación sobre "open knowledge", "altmetric collection", "web indicator", "assessing research", "researchgate score", "open data citation advantage", "google scholar autor citation", "share data", "academic tweet", "mendeley readership count" y "social media metric", aparecen como líneas de investigación actuales. Se aportan varios indicadores estadísticos para destacar las revistas y autores claves en la especialidad.
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.
