Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
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 17.44 0.00 7 60
 
 
22
Efficacy of a Web-Based Computer-Tailored Smoking Prevention Intervention for Dutch Adolescents: Randomized Controlled Trial
Sanne de Josselin de Jong, Math Candel, Dewi Segaar, Henricus-Paul Cremers, Hein de Vries
J Med Internet Res 2014;16(3):e82
(Mar 21, 2014)
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9 10.73 0.00 7 80
 
 
23
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 9.00 0.00 19 80
 
 
24
Economic Evaluation of a Web-Based Tailored Lifestyle Intervention for Adults: Findings Regarding Cost-Effectiveness and Cost-Utility From a Randomized Controlled Trial
Daniela N Schulz, Eline S Smit, Nicola E Stanczyk, Stef PJ Kremers, Hein de Vries, Silvia MAA Evers
J Med Internet Res 2014;16(3):e91
(Mar 20, 2014)
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7 8.04 0.00 7 80
 
 
25
Using Online Health Communities to Deliver Patient-Centered Care to People With Chronic Conditions
Martijn van der Eijk, Marjan J Faber, Johanna WM Aarts, Jan AM Kremer, Marten Munneke, Bastiaan R Bloem
J Med Internet Res 2013;15(6):e115
(Jun 25, 2013)
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7 7.00 0.00 107 100
 
 
26
Do Online Mental Health Services Improve Help-Seeking for Young People? A Systematic Review
Sylvia Deidre Kauer, Cheryl Mangan, Lena Sanci
J Med Internet Res 2014;16(3):e66
(Mar 4, 2014)
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7 7.00 0.00 23 95
 
 
27
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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6 37.20 0.00 6 50
 
 
28
Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences
Sukjin Koh, Andrew S Gordon, Christopher Wienberg, Sara O Sood, Stephanie Morley, Deborah M Burke
J Med Internet Res 2014;16(3):e84
(Mar 19, 2014)
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6 6.64 0.00 6 70
 
 
29
Web-Based Apps for Reflection: A Longitudinal Study With Hospital Staff
Bettina Renner, Joachim Kimmerle, Dominik Cavael, Volker Ziegler, Lisa Reinmann, Ulrike Cress
J Med Internet Res 2014;16(3):e85
(Mar 17, 2014)
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6 6.20 0.00 6 65
 
 
30
Prevalence of Behavior Changing Strategies in Fitness Video Games: Theory-Based Content Analysis
Elizabeth Jane Lyons, Claire Hatkevich
J Med Internet Res 2013;15(5):e81
(May 7, 2013)
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6 6.00 0.00 17 80
 
 
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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.