“Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact.” G. Eysenbach, Journal of Medical Internet Research 2011; 13(4):e123
This article describes an investigation of whether tweets predict highly cited articles. The author looked at 1573 “tweetations” (tweets about articles) of 55 articles in the Journal of Medical Internet Research and their subsequent citation data from Scopus and Google Scholar. There was a correlation: highly tweeted articles were 11 times more likely to be highly cited than less-tweeted articles. The author proposes a “twimpact factor” (the cumulative number of tweetations within a certain number of days since publication) as a near-real time measure of reach of research findings.