Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
371
Mobile Health (mHealth) Approaches and Lessons for Increased Performance and Retention of Community Health Workers in Low- and Middle-Income Countries: A Review
Karin Källander, James K Tibenderana, Onome J Akpogheneta, Daniel L Strachan, Zelee Hill, Augustinus H A ten Asbroek, Lesong Conteh, Betty R Kirkwood, Sylvia R Meek
J Med Internet Res 2013;15(1):e17
(Jan 25, 2013)
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3 0.25 2.00 21 90
 
 
372
Pro-Anorexia and Pro-Recovery Photo Sharing: A Tale of Two Warring Tribes
Elad Yom-Tov, Luis Fernandez-Luque, Ingmar Weber, Steven P Crain
J Med Internet Res 2012;14(6):e151
(Nov 7, 2012)
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3 0.25 7.00 17 55
 
 
373
Association of eHealth Literacy With Colorectal Cancer Knowledge and Screening Practice Among Internet Users in Japan
Seigo Mitsutake, Ai Shibata, Kaori Ishii, Koichiro Oka
J Med Internet Res 2012;14(6):e153
(Nov 13, 2012)
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3 0.25 6.00 9 45
 
 
374
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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3 0.25 0.00 35 85
 
 
375
Evaluating Aspects of Online Medication Safety in Long-Term Follow-Up of 136 Internet Pharmacies: Illegal Rogue Online Pharmacies Flourish and Are Long-Lived
Andras Fittler, Gergely Bősze, Lajos Botz
J Med Internet Res 2013;15(9):e199
(Sep 10, 2013)
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3 0.25 2.00 5 40
 
 
376
How Current Are Leading Evidence-Based Medical Textbooks? An Analytic Survey of Four Online Textbooks
Rebecca Jeffery, Tamara Navarro, Cynthia Lokker, R Brian Haynes, Nancy L Wilczynski, George Farjou
J Med Internet Res 2012;14(6):e175
(Dec 10, 2012)
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3 0.25 0.00 25 80
 
 
377
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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3 0.25 0.00 22 85
 
 
378
Effectiveness of a Proactive Mail-Based Alcohol Internet Intervention for University Students: Dismantling the Assessment and Feedback Components in a Randomized Controlled Trial
Preben Bendtsen, Jim McCambridge, Marcus Bendtsen, Nadine Karlsson, Per Nilsen
J Med Internet Res 2012;14(5):e142
(Oct 31, 2012)
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3 0.25 0.00 17 50
 
 
379
Health-Related Effects Reported by Electronic Cigarette Users in Online Forums
My Hua, Mina Alfi, Prue Talbot
J Med Internet Res 2013;15(4):e59
(Apr 8, 2013)
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3 0.25 0.00 13 65
 
 
380
Using Virtual Reality to Provide Health Care Information to People With Intellectual Disabilities: Acceptability, Usability, and Potential Utility
Valerie Hall, Suzanne Conboy-Hill, Dave Taylor
J Med Internet Res 2011;13(4):e91
(Nov 14, 2011)
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3 0.25 0.00 19 85
 
 
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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.