Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
211
Online Interventions for Social Marketing Health Behavior Change Campaigns: A Meta-Analysis of Psychological Architectures and Adherence Factors
Brian Cugelman, Mike Thelwall, Phil Dawes
J Med Internet Res 2011;13(1):e17
(Feb 14, 2011)
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3 0.50 0.00 21 65
 
 
212
Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews
Leonie FM Kohl, Rik Crutzen, Nanne K de Vries
J Med Internet Res 2013;15(7):e146
(Jul 16, 2013)
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3 0.50 0.00 16 85
 
 
213
Seeking Insights About Cycling Mood Disorders via Anonymized Search Logs
Elad Yom-Tov, Ryen W White, Eric Horvitz
J Med Internet Res 2014;16(2):e65
(Feb 25, 2014)
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3 0.60 0.00 2 35
 
 
214
Increasing Physical Activity With Mobile Devices: A Meta-Analysis
Jason Fanning, Sean P Mullen, Edward McAuley
J Med Internet Res 2012;14(6):e161
(Nov 21, 2012)
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3 0.50 0.00 49 95
 
 
215
Daily Text Messaging for Weight Control Among Racial and Ethnic Minority Women: Randomized Controlled Pilot Study
Dori M Steinberg, Erica L Levine, Sandy Askew, Perry Foley, Gary G Bennett
J Med Internet Res 2013;15(11):e244
(Nov 18, 2013)
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3 0.50 0.00 18 85
 
 
216
Analysis of the Security and Privacy Requirements of Cloud-Based Electronic Health Records Systems
Joel JPC Rodrigues, Isabel de la Torre, Gonzalo Fernández, Miguel López-Coronado
J Med Internet Res 2013;15(8):e186
(Aug 21, 2013)
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3 0.50 0.00 13 60
 
 
217
Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part II): Assessment of Participants' Perceptions on Efficacy
Lorraine R Buis, Lindsey Hirzel, Scott A Turske, Terrisca R Des Jardins, Hossein Yarandi, Patricia Bondurant
J Med Internet Res 2013;15(12):e282
(Dec 19, 2013)
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2 0.33 0.00 8 60
 
 
218
Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products
Mark Myslín, Shu-Hong Zhu, Wendy Chapman, Mike Conway
J Med Internet Res 2013;15(8):e174
(Aug 29, 2013)
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2 0.33 0.00 31 85
 
 
219
Standardized, App-Based Disinfection of iPads in a Clinical and Nonclinical Setting: Comparative Analysis
Urs-Vito Albrecht, Ute von Jan, Ludwig Sedlacek, Stephanie Groos, Sebastian Suerbaum, Ralf-Peter Vonberg
J Med Internet Res 2013;15(8):e176
(Aug 14, 2013)
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2 0.33 0.00 19 100
 
 
220
Smartphone Versus Pen-and-Paper Data Collection of Infant Feeding Practices in Rural China
Shuyi Zhang, Qiong Wu, Michelle HMMT van Velthoven, Li Chen, Josip Car, Igor Rudan, Yanfeng Zhang, Ye Li, Robert W Scherpbier
J Med Internet Res 2012;14(5):e119
(Sep 18, 2012)
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2 0.33 0.00 15 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.