Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
461
Perceptions of Family Physician Trainees and Trainers Regarding the Usefulness of a Virtual Community of Practice
Stephen Barnett, Sandra C Jones, Sue Bennett, Don Iverson, Andrew Bonney
J Med Internet Res 2013;15(5):e92
(May 10, 2013)
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1 0.08 0.00 17 75
 
 
462
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 0.08 0.00 12 60
 
 
463
Pedometer-Based Internet-Mediated Intervention For Adults With Chronic Low Back Pain: Randomized Controlled Trial
Sarah L Krein, Reema Kadri, Maria Hughes, Eve A Kerr, John D Piette, Rob Holleman, Hyungjin Myra Kim, Caroline R Richardson
J Med Internet Res 2013;15(8):e181
(Aug 22, 2013)
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1 0.08 0.00 23 85
 
 
464
Scope of Policy Issues in eHealth: Results From a Structured Literature Review
Shariq Khoja, Hammad Durrani, Parvez Nayani, Ammad Fahim
J Med Internet Res 2012;14(1):e34
(Feb 17, 2012)
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1 0.08 0.00 13 50
 
 
465
Why Business Modeling is Crucial in the Development of eHealth Technologies
Maarten van Limburg, Julia EWC van Gemert-Pijnen, Nicol Nijland, Hans C Ossebaard, Ron MG Hendrix, Erwin R Seydel
J Med Internet Res 2011;13(4):e124
(Dec 28, 2011)
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1 0.08 0.00 27 85
 
 
466
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 0.08 0.00 14 75
 
 
467
Munchausen by Internet: Current Research and Future Directions
Andy Pulman, Jacqui Taylor
J Med Internet Res 2012;14(4):e115
(Aug 22, 2012)
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1 0.08 0.00 44 95
 
 
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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.