Web indicators for research evaluation. Part 2: Social media metrics
Author(s) -
Mike Thelwall,
Kayvan Kousha
Publication year - 2015
Publication title -
el profesional de la informacion
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.698
H-Index - 28
eISSN - 1699-2407
pISSN - 1386-6710
DOI - 10.3145/epi.2015.sep.09
Subject(s) - altmetrics , social media , citation , formative assessment , computer science , world wide web , data science , sociology , pedagogy
This literature review assesses indicators derived from social media sources, including both general and academic sites. Such indicators have been termed altmetrics, influmetrics, social media metrics, or a type of webometric, and have recently been commercialised by a number of companies and employed by some publishers and university administrators. The social media metrics analysed here derive mainly from Twitter , Facebook , Google+ , F1000 , Mendeley , ResearchGate , and Academia.edu . They have the apparent potential to deliver fast, free indicators of the wider societal impact of research, or of different types of academic impacts, complementing academic impact indicators from traditional citation indexes. Although it is unwise to employ them in formal evaluations with stakeholders, due to their susceptibility to gaming and lack of real evidence that they reflect wider research impacts, they are useful for formative evaluations and to investigate science itself. Mendeley reader counts are particularly promising.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom