Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
51
The Impact of Electronic Patient Portals on Patient Care: A Systematic Review of Controlled Trials
Elske Ammenwerth, Petra Schnell-Inderst, Alexander Hoerbst
J Med Internet Res 2012;14(6):e162
(Nov 26, 2012)
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1 0.17 6.00 37 90
 
 
52
Sociotechnical Challenges and Progress in Using Social Media for Health
Sean A Munson, Hasan Cavusoglu, Larry Frisch, Sidney Fels
J Med Internet Res 2013;15(10):e226
(Oct 22, 2013)
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45 7.75 92.00 36 95
 
 
53
Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness
Margaret E Morris, Qusai Kathawala, Todd K Leen, Ethan E Gorenstein, Farzin Guilak, William DeLeeuw, Michael Labhard
J Med Internet Res 2010;12(2):e10
(Apr 30, 2010)
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2 0.33 0.00 35 85
 
 
54
Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube
Shabbir Syed-Abdul, Luis Fernandez-Luque, Wen-Shan Jian, Yu-Chuan Li, Steven Crain, Min-Huei Hsu, Yao-Chin Wang, Dorjsuren Khandregzen, Enkhzaya Chuluunbaatar, Phung Anh Nguyen, Der-Ming Liou
J Med Internet Res 2013;15(2):e30
(Feb 13, 2013)
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1 0.17 0.00 35 95
 
 
55
Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review
Tara Donker, Katherine Petrie, Judy Proudfoot, Janine Clarke, Mary-Rose Birch, Helen Christensen
J Med Internet Res 2013;15(11):e247
(Nov 15, 2013)
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69 13.71 70.00 34 95
 
 
56
Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment
Erik Black, Jennifer Light, Nicole Paradise Black, Lindsay Thompson
J Med Internet Res 2013;15(5):e94
(May 17, 2013)
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2 0.33 0.00 33 95
 
 
57
Guess Who’s Not Coming to Dinner? Evaluating Online Restaurant Reservations for Disease Surveillance
Elaine O Nsoesie, David L Buckeridge, John S Brownstein
J Med Internet Res 2014;16(1):e22
(Jan 22, 2014)
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35 12.33 0.00 32 95
 
 
58
Benefits of Peer Support in Online Japanese Breast Cancer Communities: Differences Between Lurkers and Posters
Yoko Setoyama, Yoshihiko Yamazaki, Kazuhiro Namayama
J Med Internet Res 2011;13(4):e122
(Dec 29, 2011)
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2 0.33 1.00 32 90
 
 
59
Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products
Mark MyslĂ­n, Shu-Hong Zhu, Wendy Chapman, Mike Conway
J Med Internet Res 2013;15(8):e174
(Aug 29, 2013)
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7 1.17 8.00 31 85
 
 
60
The Use and Significance of a Research Networking System
Maninder Kahlon, Leslie Yuan, John Daigre, Eric Meeks, Katie Nelson, Cynthia Piontkowski, Katja Reuter, Rachael Sak, Brian Turner, Griffin M Weber, Anirvan Chatterjee
J Med Internet Res 2014;16(2):e46
(Feb 7, 2014)
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36 15.50 0.00 30 95
 
 
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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.