New Article: “t Factor: A Metric for Measuring Impact on Twitter”
The following paper was recently shared on arXiv.
t Factor: A Metric for Measuring Impact on Twitter
Administrative Headquarters of the Max Planck Society, Division for Science and Innovation Studies
Max Planck Institute for Solid State Research
August 10, 2015
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.
Direct to Full Text Article (11 pages; PDF)
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.