Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
411
Two Fully Automated Web-Based Interventions for Risky Alcohol Use: Randomized Controlled Trial
Marc-Dennan Tensil, Benjamin Jonas, Evelin Strüber
J Med Internet Res 2013;15(6):e110
(Jun 6, 2013)
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1 0.10 0.00 1 10
 
 
412
Use and Acceptance of Electronic Communication by Patients With Multiple Sclerosis: A Multicenter Questionnaire Study
Rocco Haase, Thorsten Schultheiss, Raimar Kempcke, Katja Thomas, Tjalf Ziemssen
J Med Internet Res 2012;14(5):e135
(Oct 15, 2012)
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1 0.08 0.00 19 75
 
 
413
Munchausen by Internet: Current Research and Future Directions
Andy Pulman, Jacqui Taylor
J Med Internet Res 2012;14(4):e115
(Aug 22, 2012)
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1 0.08 0.00 44 95
 
 
414
Improving Diabetes Care for Young People With Type 1 Diabetes Through Visual Learning on Mobile Phones: Mixed-Methods Study
Dag Helge Frøisland, Eirik Årsand, Finn Skårderud
J Med Internet Res 2012;14(4):e111
(Aug 6, 2012)
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1 0.08 0.00 15 75
 
 
415
Multilevel Growth Curve Analyses of Treatment Effects of a Web-Based Intervention for Stress Reduction: Randomized Controlled Trial
Filip Drozd, Sabine Raeder, Pål Kraft, Cato Alexander Bjørkli
J Med Internet Res 2013;15(4):e84
(Apr 22, 2013)
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1 0.08 0.00 6 45
 
 
416
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 0.08 0.00 9 85
 
 
417
Teaching Elderly Adults to Use the Internet to Access Health Care Information: Before-After Study
Robert J Campbell, David A Nolfi
J Med Internet Res 2005;7(2):e19
(Jun 30, 2005)
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1 0.08 0.00 0 0
 
 
418
Prevalence and Characteristics of Smokers Interested in Internet-Based Smoking Cessation Interventions: Cross-sectional Findings From a National Household Survey
Jamie Brown, Susan Michie, Tobias Raupach, Robert West
J Med Internet Res 2013;15(3):e50
(Mar 18, 2013)
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1 0.08 0.00 10 50
 
 
419
Theme Issue on E-Mental Health: A Growing Field in Internet Research
Heleen Riper, Gerhard Andersson, Helen Christensen, Pim Cuijpers, Alfred Lange, Gunther Eysenbach
J Med Internet Res 2010;12(5):e74
(Dec 19, 2010)
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1 0.08 0.00 15 95
 
 
420
Ethical Principles for Physician Rating Sites
Daniel Strech
J Med Internet Res 2011;13(4):e113
(Dec 6, 2011)
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1 0.08 0.00 8 25
 
 
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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.