Twitter predicts citation
Jason Priem
priem at EMAIL.UNC.EDU
Wed Dec 28 18:00:25 EST 2011
Highly-tweeted articles in JMIR are 11x more likely to later be
highly-cited articles. Of course, this is a very specific sample, but
it's a provocative finding.
Eysenbach, G. (2011). Can Tweets Predict Citations? Metrics of Social
Impact Based on Twitter and Correlation with Traditional Metrics of
Scientific Impact. Journal of Medical Internet Research, 13(4).
doi:10.2196/jmir.2012
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Jason Priem
UNC Royster Scholar
School of Information and Library Science
University of North Carolina at Chapel Hill
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