t factor: A metric for measuring impact on Twitter

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Lutz Bornmann
Robin Haunschild
Lutz Bornmann
Robin Haunschild

Abstract

Based on the definition of the well-known h index we propose a t factor for measuring the impact of publications (and other entities) on Twitter. The new index combines tweet and retweet data in a balanced way, whereby retweets are seen as data reflecting the impact of initial tweets. The t factor is defined as follows: a unit (single publication, journal, researcher, research group etc.) has factor t if t of its Nt tweets have at least t retweets each and the other (Nt-t) tweets have ≤t retweets each.


 

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How to Cite
Bornmann, L., Haunschild, R., Bornmann, L., & Haunschild, R. (2016). t factor: A metric for measuring impact on Twitter. Malaysian Journal of Library and Information Science, 21(2), 13–20. https://doi.org/10.22452/mjlis.vol21no2.2
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