Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
271
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
 
 
272
Risk Estimates From an Online Risk Calculator Are More Believable and Recalled Better When Expressed as Integers
Holly O Witteman, Brian J Zikmund-Fisher, Erika A Waters, Teresa Gavaruzzi, Angela Fagerlin
J Med Internet Res 2011;13(3):e54
(Sep 7, 2011)
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1 0.08 0.00 9 30
 
 
273
Use of a Text Message Program to Raise Type 2 Diabetes Risk Awareness and Promote Health Behavior Change (Part II): Assessment of Participants' Perceptions on Efficacy
Lorraine R Buis, Lindsey Hirzel, Scott A Turske, Terrisca R Des Jardins, Hossein Yarandi, Patricia Bondurant
J Med Internet Res 2013;15(12):e282
(Dec 19, 2013)
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17 4.15 35.00 8 60
 
 
274
Use of Behavioral Change Techniques in Web-Based Self-Management Programs for Type 2 Diabetes Patients: Systematic Review
Michael van Vugt, Maartje de Wit, Wilmy HJJ Cleijne, Frank J Snoek
J Med Internet Res 2013;15(12):e279
(Dec 13, 2013)
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13 3.03 9.00 8 65
 
 
275
Virtual Patients in Primary Care: Developing a Reusable Model That Fosters Reflective Practice and Clinical Reasoning
Helena Salminen, Nabil Zary, Karin Björklund, Eva Toth-Pal, Charlotte Leanderson
J Med Internet Res 2014;16(1):e3
(Jan 6, 2014)
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10 2.84 8.00 8 50
 
 
276
Online Mental Health Resources in Rural Australia: Clinician Perceptions of Acceptability
Craig Sinclair, Kristi Holloway, Geoffrey Riley, Kirsten Auret
J Med Internet Res 2013;15(9):e193
(Sep 5, 2013)
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10 1.34 8.00 8 55
 
 
277
Web-Based Versus Traditional Paper Questionnaires: A Mixed-Mode Survey With a Nordic Perspective
Lena Hohwü, Heidi Lyshol, Mika Gissler, Stefan Hrafn Jonsson, Max Petzold, Carsten Obel
J Med Internet Res 2013;15(8):e173
(Aug 26, 2013)
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9 1.15 9.00 8 50
 
 
278
Interpretive Flexibility in Mobile Health: Lessons From a Government-Sponsored Home Care Program
Jeppe Agger Nielsen, Lars Mathiassen
J Med Internet Res 2013;15(10):e236
(Oct 30, 2013)
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9 1.58 18.00 8 50
 
 
279
Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness
Gunther Eysenbach
J Med Internet Res 2008;10(3):e22
(Aug 25, 2008)
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8 0.67 17.00 8 100
 
 
280
Effectiveness of a Web-Based Physical Activity Intervention in Patients With Knee and/or Hip Osteoarthritis: Randomized Controlled Trial
Daniël Bossen, Cindy Veenhof, Karin EC Van Beek, Peter MM Spreeuwenberg, Joost Dekker, Dinny H De Bakker
J Med Internet Res 2013;15(11):e257
(Nov 22, 2013)
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8 1.61 15.00 8 45
 
 
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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.