Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
171
Routine Real-Time Cost-Effectiveness Monitoring of a Web-Based Depression Intervention: A Risk-Sharing Proposal
Klemen Naveršnik, Aleš Mrhar
J Med Internet Res 2014;16(2):e67
(Feb 27, 2014)
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9 5.37 0.00 5 50
 
 
172
Who Uses Physician-Rating Websites? Differences in Sociodemographic Variables, Psychographic Variables, and Health Status of Users and Nonusers of Physician-Rating Websites
Ralf Terlutter, Sonja Bidmon, Johanna Röttl
J Med Internet Res 2014;16(3):e97
(Mar 31, 2014)
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9 13.95 0.00 7 60
 
 
173
A Systematic Self-Certification Model for Mobile Medical Apps
Thomas Lorchan Lewis
J Med Internet Res 2013;15(4):e89
(Apr 24, 2013)
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9 1.50 0.00 19 80
 
 
174
Online Activity and Participation in Treatment Affects the Perceived Efficacy of Social Health Networks Among Patients With Chronic Illness
Racheli Magnezi, Yoav S Bergman, Dafna Grosberg
J Med Internet Res 2014;16(1):e12
(Jan 10, 2014)
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9 2.79 0.00 6 55
 
 
175
Effect of a Kinect-Based Exercise Game on Improving Executive Cognitive Performance in Community-Dwelling Elderly: Case Control Study
Hiroki Kayama, Kazuya Okamoto, Shu Nishiguchi, Minoru Yamada, Tomohiro Kuroda, Tomoki Aoyama
J Med Internet Res 2014;16(2):e61
(Feb 24, 2014)
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9 5.07 0.00 6 55
 
 
176
Smoking Behavior and Use of Tobacco Industry Sponsored Websites Among Medical Students and Young Physicians in Argentina
M Victoria Salgado, Raul Mejia, Celia P Kaplan, Eliseo J Perez-Stable
J Med Internet Res 2014;16(2):e35
(Feb 6, 2014)
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9 3.82 0.00 3 15
 
 
177
Would You Tell Everyone This? Facebook Conversations as Health Promotion Interventions
Jonathan Syred, Carla Naidoo, Sarah C Woodhall, Paula Baraitser
J Med Internet Res 2014;16(4):e108
(Apr 11, 2014)
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8 27.56 0.00 6 50
 
 
178
Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study
Laura Dennison, Leanne Morrison, Gemma Conway, Lucy Yardley
J Med Internet Res 2013;15(4):e86
(Apr 18, 2013)
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8 1.33 0.00 74 95
 
 
179
Hospital Website Rankings in the United States: Expanding Benchmarks and Standards for Effective Consumer Engagement
Timothy R Huerta, Jennifer L Hefner, Eric W Ford, Ann Scheck McAlearney, Nir Menachemi
J Med Internet Res 2014;16(2):e64
(Feb 25, 2014)
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8 4.59 0.00 8 75
 
 
180
Digital Social Media, Youth, and Nonmedical Use of Prescription Drugs: The Need for Reform
Tim K Mackey, Bryan A Liang, Steffanie A Strathdee
J Med Internet Res 2013;15(7):e143
(Jul 26, 2013)
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8 1.33 0.00 9 65
 
 
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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.