This paper presents a review of altmetrics or alternative metrics. This concept is defined as the creation and study of new indicators for analysing scientific and academic research activity based onWeb 2.0. The underlying premise is that variables such as mentions in blogs, numberof tweets or saves ofan articleby researchersin reference management systems, may be a valid measure of the use and impactof scientific publications. In this respect,these measuresare becoming particularly relevant, being at the centre of debate within the bibliometric community. Firstly,an explanation is given of the main platforms and indicators for this type of measurement. Subsequently,a study is undertaken of a selection of papers from the field of communication, comparing the number of citations received withtheir 2.0 indicators.The results show that the most cited articles within recent years also have significantly higher altmetric indicators. Next follows a review of the principal empirical studies undertaken, centering on the correlations between bibliometric and alternative indicators. To conclude, the main limitations of altmetrics are highlighted,alongside a reflective consideration of the role altmetrics may play in capturing the impactof research in Web 2.0 platforms.
A. Wexelblat, and P. Maes. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, page 270–277. New York, NY, USA, Association for Computing Machinery, (1999)
G. Feng, T. Liu, Y. Wang, Y. Bao, Z. Ma, X. Zhang, and W. Ma. Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR \textquotesingle06, ACM Press, (2006)
O. Alonso, J. Strötgen, R. Baeza-Yates, and M. Gertz. Proceedings of the 1st International Temporal Web Analytics Workshop, volume 707 of CEUR Workshop Proceedings, page 1-8. CEUR-WS.org, (2011)
B. Bruns, and T. Blechmann. Referate der 36. GIL-Jahrestagung: "Intelligente Systeme - Stand der Technik und neue Möglichkeiten", volume 253 of Lecture Notes in Informatics (LNI), page 25-28. Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft, GI, (February 2016)
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)