Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
411
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
 
 
412
The Law of Attrition Revisited
Helen Christensen, Andrew Mackinnon
J Med Internet Res 2006;8(3):e20
(Sep 29, 2006)
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2 0.17 1.00 0 0
 
 
413
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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2 0.17 1.00 23 85
 
 
414
Comparison of Text and Video Computer-Tailored Interventions for Smoking Cessation: Randomized Controlled Trial
Nicola Stanczyk, Catherine Bolman, Mathieu van Adrichem, Math Candel, Jean Muris, Hein de Vries
J Med Internet Res 2014;16(3):e69
(Mar 3, 2014)
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1 0.17 0.00 0 0
 
 
415
Social Influence as a Driver of Engagement in a Web-Based Health Intervention
Josée Poirier, Nathan K Cobb
J Med Internet Res 2012;14(1):e36
(Feb 22, 2012)
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1 0.08 0.00 29 85
 
 
416
Cardiopulmonary Resuscitation Training in High School Using Avatars in Virtual Worlds: An International Feasibility Study
Johan Creutzfeldt, Leif Hedman, LeRoy Heinrichs, Patricia Youngblood, Li Felländer-Tsai
J Med Internet Res 2013;15(1):e9
(Jan 14, 2013)
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1 0.08 0.00 10 55
 
 
417
Correction: Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Gunther Eysenbach
J Med Internet Res 2012;14(1):e7
(Jan 4, 2012)
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1 0.08 0.00 12 25
 
 
418
Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire
Leila Pfaeffli, Ralph Maddison, Yannan Jiang, Lance Dalleck, Marie Löf
J Med Internet Res 2013;15(3):e61
(Mar 22, 2013)
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1 0.08 0.00 15 65
 
 
419
A Comparison of Physician Pre-Adoption and Adoption Views on Electronic Health Records in Canadian Medical Practices
Norm Archer, Mihail Cocosila
J Med Internet Res 2011;13(3):e57
(Aug 12, 2011)
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1 0.08 0.00 10 55
 
 
420
Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention
Jeongeun Kim, Hyeoun-Ae Park
J Med Internet Res 2012;14(5):e133
(Oct 1, 2012)
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1 0.08 0.00 12 50
 
 
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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.