Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
401
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 0.17 1.00 32 90
 
 
402
Examining the Medical Blogosphere: An Online Survey of Medical Bloggers
Ivor Kovic, Ileana Lulic, Gordana Brumini
J Med Internet Res 2008;10(3):e28
(Sep 23, 2008)
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2 0.17 0.00 3 80
 
 
403
Versatile, Immersive, Creative and Dynamic Virtual 3-D Healthcare Learning Environments: A Review of the Literature
Margaret Hansen
J Med Internet Res 2008;10(3):e26
(Sep 1, 2008)
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2 0.17 1.00 2 75
 
 
404
Reducing Suicidal Ideation: Cost-Effectiveness Analysis of a Randomized Controlled Trial of Unguided Web-Based Self-help
Bregje A.J. van Spijker, M. Cristina Majo, Filip Smit, Annemieke van Straten, Ad J.F.M. Kerkhof
J Med Internet Res 2012;14(5):e141
(Oct 26, 2012)
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2 0.17 0.00 9 35
 
 
405
A Text Messaging-Based Smoking Cessation Program for Adult Smokers: Randomized Controlled Trial
Michele Ybarra, A. Tülay Bağcı Bosi, Josephine Korchmaros, Salih Emri
J Med Internet Res 2012;14(6):e172
(Dec 27, 2012)
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2 0.17 0.00 8 60
 
 
406
Internet-Based Photoaging Within Australian Pharmacies to Promote Smoking Cessation: Randomized Controlled Trial
Oksana Burford, Moyez Jiwa, Owen Carter, Richard Parsons, Delia Hendrie
J Med Internet Res 2013;15(3):e64
(Mar 26, 2013)
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2 0.17 0.00 9 45
 
 
407
Consistently Increasing Numbers of Online Ratings of Healthcare in England
Felix Greaves, Christopher Millett
J Med Internet Res 2012;14(3):e94
(Jun 29, 2012)
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2 0.17 7.00 9 40
 
 
408
Effectiveness and Cost-Effectiveness of eHealth Interventions in Somatic Diseases: A Systematic Review of Systematic Reviews and Meta-Analyses
Niels J Elbert, Harmieke van Os-Medendorp, Wilco van Renselaar, Anne G Ekeland, Leona Hakkaart-van Roijen, Hein Raat, Tamar EC Nijsten, Suzanne GMA Pasmans
J Med Internet Res 2014;16(4):e110
(Apr 16, 2014)
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1 30.96 0.00 1 40
 
 
409
Claiming Positive Results From Negative Trials: A Cause for Concern in Randomized Controlled Trial Research - Author's Reply
Reid Hester, William Campbell, Kathryn Lenberg, Harold Delaney
J Med Internet Res 2013;15(8):e180
(Aug 19, 2013)
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1 0.13 1.00 1 20
 
 
410
User Evaluation of the Effects of a Text Simplification Algorithm Using Term Familiarity on Perception, Understanding, Learning, and Information Retention
Gondy Leroy, James E. Endicott, David Kauchak, Obay Mouradi, Melissa Just
J Med Internet Res 2013;15(7):e144
(Jul 31, 2013)
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1 0.12 0.00 1 20
 
 
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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.