January 25, 2021

New Article: “t Factor: A Metric for Measuring Impact on Twitter”

The following paper was recently shared on arXiv.

Title

t Factor: A Metric for Measuring Impact on Twitter

Authors

Lutz Bornmann
Administrative Headquarters of the Max Planck Society, Division for Science and Innovation Studies

Robin Haunschild
Max Planck Institute for Solid State Research

Source

arXiv
August 10, 2015

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.

Direct to Full Text Article (11 pages; PDF)

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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