Dimensions: re-discovering the ecosystem of scientific information

Autores/as

  • Enrique Orduña-Malea Universitat Politècnica de València
  • Emilio Delgado-López-Cózar Universidad de Granada

DOI:

https://doi.org/10.3145/epi.2018.mar.21

Palabras clave:

Dimensions, Bibliographic databases, Bibliometric portals, Bibliometrics, Online academic profiles, Research evaluation, Discovery tools.

Resumen

 

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 divided into two differentiated blocks. First, its characteristics, operation, and features are described, focusing on its main strengths and weaknesses. Secondly, an analysis of its coverage is carried out (comparing it against Web of Science Core Collection, Scopus and Google Scholar) in order to determine whether the bibliometric indicators offered by Dimensions have an order of magnitude significant enough to be used. To this end, an analysis is carried out at three levels: journals (sample of 20 publications in "˜Library & Information Science´), documents (276 articles published by the Journal of informetrics between 2013 and 2015), and authors (28 people awarded with the Derek de Solla Price prize). Preliminary results indicate that Dimensions has coverage of the recent literature superior to Scopus, although inferior to Google Scholar. With regard to the number of citations received, Dimensions offers slightly lower figures than Scopus. Despite this, the number of citations in Dimensions exhibits a strong correlation with Scopus and somewhat less (although still significant) with Google Scholar. For this reason, it is concluded that Dimensions is an alternative for carrying out citation studies, able to rival Scopus (greater coverage and free of charge) and Google Scholar (greater functionalities for the treatment and data export).

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Citas

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Delgado-López-Cózar, Emilio; Orduña-Malea, Enrique; Martí­n-Martí­n, Alberto; Ayllón, Juan M. (2017). "Google Scholar: the big data bibliographic tool". En: Cantú-Ortiz, Félix (ed.). Research analytics: boosting university productivity and competitiveness through scientometrics. Boca Raton (FL): CRC Press (Taylor & Francis), pp. 59-80. ISBN: 978 1 498785426

Martí­n-Martí­n, Alberto; Ayllón, Juan M.; Delgado-López-Cózar, Emilio; Orduña-Malea, Enrique (2015). "Nature´s Top 100 re-revisited". Journal of the American Society for Information Science and Technology, v. 66, n. 12, pp. 2714-2714. https://doi.org/10.1002/asi.23570

Martí­n-Martí­n, Alberto; Orduna-Malea, Enrique; Ayllón, Juan M.; Delgado López-Cózar, Emilio (2016). "A two-sided academic landscape: snapshot of highly-cited documents in Google Scholar (1950-2013)". Revista española de documentación cientí­fica, v. 39, n. 4, e149. http://dx.doi.org/10.3989/redc.2016.4.1405

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Orduña-Malea, Enrique; Ayllón, Juan M.; Martí­n-Martí­n, Alberto; Delgado-López-Cózar, Emilio (2015). "Methods for estimating the size of Google Scholar". Scientometrics, v. 104, n. 3, pp. 931-949. https://doi.org/10.1007/s11192-015-1614-6

Orduña-Malea, Enrique; Martí­n-Martí­n, Alberto; Ayllón, Juan M.; Delgado-López-Cózar, Emilio (2016). La revolución Google Scholar: destapando la tapa de Pandora académica. Granada: UNE. ISBN: 978 84 33859419

Orduña-Malea, Enrique; Delgado-López-Cózar, Emilio (2018). "Viva la competencia! Nuevas dimensiones para la búsqueda y evaluación de la información cientí­fica". Anuario ThinkEPI, v. 12 (in press). https://recyt.fecyt.es/index.php/ThinkEPI/index

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Publicado

2018-04-04

Cómo citar

Orduña-Malea, E., & Delgado-López-Cózar, E. (2018). Dimensions: re-discovering the ecosystem of scientific information. Profesional De La información Information Professional, 27(2), 420–431. https://doi.org/10.3145/epi.2018.mar.21

Número

Sección

Análisis / Analysis