Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
531
Health Professionals' Attitudes Towards Using a Web 2.0 Portal for Child and Adolescent Diabetes Care: Qualitative Study
Cecilia Nordqvist, Lena Hanberger, Toomas Timpka, Sam Nordfeldt
J Med Internet Res 2009;11(2):e12
(Apr 6, 2009)
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5 0.10 18.00 2 55
 
 
532
Utilization Patterns and User Characteristics of an Ad Libitum Internet Weight Loss Program
Martin Binks, Trevor van Mierlo
J Med Internet Res 2010;12(1):e9
(Mar 29, 2010)
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5 0.13 18.00 5 20
 
 
533
Methodological Challenges in Online Trials
Elizabeth Murray, Zarnie Khadjesari, Ian White, Eleftheria Kalaitzaki, Christine Godfrey, Jim McCambridge, Simon Thompson, Paul Wallace
J Med Internet Res 2009;11(2):e9
(Apr 3, 2009)
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5 0.10 17.00 5 95
 
 
534
Patient Accessible Electronic Health Records: Exploring Recommendations for Successful Implementation Strategies
David Wiljer, Sara Urowitz, Emma Apatu, Claudette DeLenardo, Gunther Eysenbach, Tamara Harth, Howard Pai, Kevin Leonard, CCPAEHR Canadian Committee for Patient Accessible Health Records
J Med Internet Res 2008;10(4):e34
(Oct 31, 2008)
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5 0.09 15.00 3 75
 
 
535
Effectiveness of a Web-Based Brief Alcohol Intervention and Added Value of Normative Feedback in Reducing Underage Drinking: A Randomized Controlled Trial
Renske Spijkerman, Marion A.E. Roek, Ad Vermulst, Lex Lemmers, Annemarie Huiberts, Rutger C.M.E. Engels
J Med Internet Res 2010;12(5):e65
(Dec 19, 2010)
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5 0.17 12.00 3 35
 
 
536
Use of an Internet “Viral” Marketing Software Platform in Health Promotion
Pierre Gosselin, Philippe Poitras
J Med Internet Res 2008;10(4):e47
(Nov 26, 2008)
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5 0.09 10.00 4 95
 
 
537
Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)
Gunther Eysenbach
J Med Internet Res 2004;6(3):e34
(Sep 29, 2004)
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5 0.08 10.00 0 0
 
 
538
Tailored System to Deliver Behavioral Intervention and Manage Data in Randomized Trials
Hua Zheng, Milagros C Rosal, Carol A Oatis, Wenjun Li, Patricia D Franklin
J Med Internet Res 2013;15(4):e58
(Apr 11, 2013)
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5 2.25 6.00 4 15
 
 
539
Web-Based Counseling for Problem Gambling: Exploring Motivations and Recommendations
Simone Rodda, Dan I Lubman, Nicki A Dowling, Anna Bough, Alun C Jackson
J Med Internet Res 2013;15(5):e99
(May 24, 2013)
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5 5.96 6.00 5 25
 
 
540
Virtual Reality for Enhancing the Cognitive Behavioral Treatment of Obesity With Binge Eating Disorder: Randomized Controlled Study With One-Year Follow-up
Gian Luca Cesa, Gian Mauro Manzoni, Monica Bacchetta, Gianluca Castelnuovo, Sara Conti, Andrea Gaggioli, Fabrizia Mantovani, Enrico Molinari, Georgina Cárdenas-López, Giuseppe Riva
J Med Internet Res 2013;15(6):e113
(Jun 12, 2013)
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5 22.14 6.00 5 35
 
 
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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.

 * Tweets Data Collection began January 2008