Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
241
Wikipedia: A Key Tool for Global Public Health Promotion
James M Heilman, Eckhard Kemmann, Michael Bonert, Anwesh Chatterjee, Brent Ragar, Graham M Beards, David J Iberri, Matthew Harvey, Brendan Thomas, Wouter Stomp, Michael F Martone, Daniel J Lodge, Andrea Vondracek, Jacob F de Wolff, Casimir Liber, Samir C Grover, Tim J Vickers, Bertalan Meskó, Michaël R Laurent
J Med Internet Res 2011;13(1):e14
(Jan 31, 2011)
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2 0.33 1.00 82 100
 
 
242
Web 2.0 Chronic Disease Self-Management for Older Adults: A Systematic Review
Michael Stellefson, Beth Chaney, Adam E. Barry, Enmanuel Chavarria, Bethany Tennant, Kim Walsh-Childers, P.S. Sriram, Justin Zagora
J Med Internet Res 2013;15(2):e35
(Feb 14, 2013)
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2 0.33 1.00 59 100
 
 
243
Retrieving Clinical Evidence: A Comparison of PubMed and Google Scholar for Quick Clinical Searches
Salimah Z Shariff, Shayna AD Bejaimal, Jessica M Sontrop, Arthur V Iansavichus, R Brian Haynes, Matthew A Weir, Amit X Garg
J Med Internet Res 2013;15(8):e164
(Aug 15, 2013)
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2 0.33 1.00 323 100
 
 
244
Rethinking the Dose-Response Relationship Between Usage and Outcome in an Online Intervention for Depression: Randomized Controlled Trial
Liesje Donkin, Ian B Hickie, Helen Christensen, Sharon L Naismith, Bruce Neal, Nicole L Cockayne, Nick Glozier
J Med Internet Res 2013;15(10):e231
(Oct 17, 2013)
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2 0.33 1.00 6 40
 
 
245
Benefits of Peer Support in Online Japanese Breast Cancer Communities: Differences Between Lurkers and Posters
Yoko Setoyama, Yoshihiko Yamazaki, Kazuhiro Namayama
J Med Internet Res 2011;13(4):e122
(Dec 29, 2011)
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2 0.33 1.00 32 90
 
 
246
Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences
Arun Rai, Liwei Chen, Jessica Pye, Aaron Baird
J Med Internet Res 2013;15(8):e149
(Aug 2, 2013)
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1 0.17 0.00 9 55
 
 
247
Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter
Melanie Hingle, Donella Yoon, Joseph Fowler, Stephen Kobourov, Michael Lee Schneider, Daniel Falk, Randy Burd
J Med Internet Res 2013;15(6):e125
(Jun 24, 2013)
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1 0.17 0.00 14 75
 
 
248
Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem
Melanie Swan
J Med Internet Res 2012;14(2):e46
(Mar 7, 2012)
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1 0.17 0.00 65 100
 
 
249
Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students
Carl L Hanson, Scott H Burton, Christophe Giraud-Carrier, Josh H West, Michael D Barnes, Bret Hansen
J Med Internet Res 2013;15(4):e62
(Apr 17, 2013)
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1 0.17 0.00 16 70
 
 
250
Global Reach of Direct-to-Consumer Advertising Using Social Media for Illicit Online Drug Sales
Tim Ken Mackey, Bryan A Liang
J Med Internet Res 2013;15(5):e105
(May 29, 2013)
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1 0.17 0.00 12 60
 
 
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Total Tweets
 
Tweets per Month
 
Tweets Influence Factor
 
Twimpact Factor (TWIF) tw7
 
Twindex7

A Tweets per month statistic may be artifically inflated for newly published articles

B Tweets Influence Factor (TIF): number of tweets x avg. influence of tweeters (influence is determined by how often all tweets of that person are retweeted by others)

C Twimpact Factor (TWIF) tw7: Number of mentionings in tweets (tweetations) within first 7 days after article publication (Eysenbach 2011)

D Twindex7 (Eysenbach 2011): Rank percentile of this article when its twimpact factor (tw7) is compared to 19 previously published articles. Range 0-100, with higher scores reflecting higher impact on Twitter. Articles with a Twindex greater than 75 have a 75% chance of being highly cited (top quartile by citation), articles with a Twindex less than 75 have a 7% chance to be highly cited.