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Listar por palabra clave "Bibliographic databases"

Mostrando ítems 1-5 de 5

Dimensions: Re-discovering the Ecosystem of Scientific Information

Orduña Malea, Enrique; Delgado-López-Cózar, Emilio (Ediciones Profesionales de la Informacion SL, 2018)

[EN] The overarching aim of this work is to provide a detailed description of the free version of Dimensions (new bibliographic database produced by Digital Science and launched in January 2018). To do this, the work is ...
Google Scholar as a source for scholarly evaluation: a bibliographic review of database errors

Orduña Malea, Enrique; Martín-Martín, Alberto; Delgado-López-Cózar, Emilio (Departmento de Publicaciones del CSIC, 2017-10)

[ES] Google Scholar es un motor de búsqueda académico y herramienta de descubrimiento lanzada por Google (ahora Alphabet) en noviembre de 2004. El hecho de que para cada registro bibliográfico se proporcione información ...
Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations' COCI: a multidisciplinary comparison of coverage via citations

Martín-Martín, Alberto; Thelwall, Mike; Orduña-Malea, Enrique; Delgado López-Cózar, Emilio (Springer-Verlag, 2021-01)

[EN] New sources of citation data have recently become available, such as Microsoft Academic, Dimensions, and the OpenCitations Index of CrossRef open DOI-to-DOI citations (COCI). Although these have been compared to the ...
Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories

Martín-Martín, Alberto; Orduña-Malea, Enrique; Thelwall, Mike; Delgado Lopez-Cozar, Emilio (Elsevier, 2018-11)

[EN] Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no recent or systematic evidence about the ...
Universities through the eyes of bibliographic databases: a retroactive growth comparison of Google Scholar, Scopus and Web of Science

Orduña Malea, Enrique; Aytac, Selenay; Tran, Clara Y. (Springer-Verlag, 2019-10)

[EN] The purpose of this study is to ascertain the suitability of GS's url-based method as a valid approximation of universities' academic output measures, taking into account three aspects (retroactive growth, correlation, ...