Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets
Influence
FactorB		 Twimpact Factor (tw7)C Twindex7D
 
191
Patient Perceptions of a Personal Health Record: A Test of the Diffusion of Innovation Model
Srinivas Emani, Cyrus K Yamin, Ellen Peters, Andrew S Karson, Stuart R Lipsitz, Jonathan S Wald, Deborah H Williams, David W Bates
J Med Internet Res 2012;14(6):e150
(Nov 5, 2012)
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1 0.17 0.00 16 55
 
 
192
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 0.17 0.00 31 80
 
 
193
Effect of a Web-Based Intervention to Promote Physical Activity and Improve Health Among Physically Inactive Adults: A Population-Based Randomized Controlled Trial
Andreas Wolff Hansen, Morten Grønbæk, Jørn Wulff Helge, Maria Severin, Tine Curtis, Janne Schurmann Tolstrup
J Med Internet Res 2012;14(5):e145
(Oct 30, 2012)
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1 0.17 0.00 29 75
 
 
194
Mining Online Social Network Data for Biomedical Research: A Comparison of Clinicians’ and Patients’ Perceptions About Amyotrophic Lateral Sclerosis Treatments
Carlos Nakamura, Mark Bromberg, Shivani Bhargava, Paul Wicks, Qing Zeng-Treitler
J Med Internet Res 2012;14(3):e90
(Jun 21, 2012)
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1 0.17 0.00 10 30
 
 
195
Open Source, Open Standards, and Health Care Information Systems
Carl J Reynolds, Jeremy C Wyatt
J Med Internet Res 2011;13(1):e24
(Feb 17, 2011)
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1 0.17 0.00 7 15
 
 
196
Potential Benefits and Harms of a Peer Support Social Network Service on the Internet for People With Depressive Tendencies: Qualitative Content Analysis and Social Network Analysis
Yoshimitsu Takahashi, Chiyoko Uchida, Koichi Miyaki, Michi Sakai, Takuro Shimbo, Takeo Nakayama
J Med Internet Res 2009;11(3):e29
(Jul 23, 2009)
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1 0.17 0.00 9 80
 
 
197
Short Message Service (SMS) Applications for Disease Prevention in Developing Countries
Carole Déglise, L. Suzanne Suggs, Peter Odermatt
J Med Internet Res 2012;14(1):e3
(Jan 12, 2012)
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1 0.17 0.00 27 80
 
 
198
Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy
Thomas Webb, Judith Joseph, Lucy Yardley, Susan Michie
J Med Internet Res 2010;12(1):e4
(Feb 17, 2010)
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1 0.17 0.00 40 90
 
 
199
A Smartphone Client-Server Teleradiology System for Primary Diagnosis of Acute Stroke
J Ross Mitchell, Pranshu Sharma, Jayesh Modi, Mark Simpson, Monroe Thomas, Michael D. Hill, Mayank Goyal
J Med Internet Res 2011;13(2):e31
(May 6, 2011)
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1 0.17 0.00 20 75
 
 
200
An Evaluation of the Use of Smartphones to Communicate Between Clinicians: A Mixed-Methods Study
Robert Wu, Peter Rossos, Sherman Quan, Scott Reeves, Vivian Lo, Brian Wong, Mark Cheung, Dante Morra
J Med Internet Res 2011;13(3):e59
(Aug 29, 2011)
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1 0.17 0.00 29 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.