Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
411
Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study
Joseph A Cafazzo, Mark Casselman, Nathaniel Hamming, Debra K Katzman, Mark R Palmert
J Med Internet Res 2012;14(3):e70
(May 8, 2012)
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2 0.17 0.00 47 90
 
 
412
Wikipedia: A Key Tool for Global Public Health Promotion
James M Heilman, Eckhard Kemmann, Michael Bonert, Anwesh Chatterjee, Brent Ragar, Graham M Beards, David J Iberri, Matthew Harvey, Brendan Thomas, Wouter Stomp, Michael F Martone, Daniel J Lodge, Andrea Vondracek, Jacob F de Wolff, Casimir Liber, Samir C Grover, Tim J Vickers, Bertalan Meskó, Michaël R Laurent
J Med Internet Res 2011;13(1):e14
(Jan 31, 2011)
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2 0.17 1.00 82 100
 
 
413
Feasibility of an eHealth Service to Support Collaborative Depression Care: Results of a Pilot Study
Matic Meglic, Mirjana Furlan, Marja Kuzmanic, Dejan Kozel, Dusan Baraga, Irma Kuhar, Branko Kosir, Rade Iljaz, Brigita Novak Sarotar, Mojca Zvezdana Dernovsek, Andrej Marusic, Gunther Eysenbach, Andrej Brodnik
J Med Internet Res 2010;12(5):e63
(Dec 19, 2010)
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2 0.17 0.00 4 40
 
 
414
The Law of Attrition Revisited
Helen Christensen, Andrew Mackinnon
J Med Internet Res 2006;8(3):e20
(Sep 29, 2006)
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2 0.17 1.00 0 0
 
 
415
Versatile, Immersive, Creative and Dynamic Virtual 3-D Healthcare Learning Environments: A Review of the Literature
Margaret Hansen
J Med Internet Res 2008;10(3):e26
(Sep 1, 2008)
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2 0.17 1.00 2 75
 
 
416
Claiming Positive Results From Negative Trials: A Cause for Concern in Randomized Controlled Trial Research - Author's Reply
Reid Hester, William Campbell, Kathryn Lenberg, Harold Delaney
J Med Internet Res 2013;15(8):e180
(Aug 19, 2013)
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1 0.09 1.00 1 20
 
 
417
A Text Messaging Intervention to Improve Heart Failure Self-Management After Hospital Discharge in a Largely African-American Population: Before-After Study
Shantanu Nundy, Rabia R Razi, Jonathan J Dick, Bryan Smith, Ainoa Mayo, Anne O'Connor, David O Meltzer
J Med Internet Res 2013;15(3):e53
(Mar 11, 2013)
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1 0.08 0.00 12 50
 
 
418
A Text Messaging-Based Smoking Cessation Program for Adult Smokers: Randomized Controlled Trial
Michele Ybarra, A. Tülay Bağcı Bosi, Josephine Korchmaros, Salih Emri
J Med Internet Res 2012;14(6):e172
(Dec 27, 2012)
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1 0.08 0.00 8 60
 
 
419
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 0.08 0.00 35 95
 
 
420
Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire
Leila Pfaeffli, Ralph Maddison, Yannan Jiang, Lance Dalleck, Marie Löf
J Med Internet Res 2013;15(3):e61
(Mar 22, 2013)
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1 0.08 0.00 15 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.