Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
281
Reducing Suicidal Ideation: Cost-Effectiveness Analysis of a Randomized Controlled Trial of Unguided Web-Based Self-help
Bregje A.J. van Spijker, M. Cristina Majo, Filip Smit, Annemieke van Straten, Ad J.F.M. Kerkhof
J Med Internet Res 2012;14(5):e141
(Oct 26, 2012)
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3 0.25 0.00 9 35
 
 
282
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
 
 
283
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
 
 
284
Principles and Framework for eHealth Strategy Development
Richard E Scott, Maurice Mars
J Med Internet Res 2013;15(7):e155
(Jul 30, 2013)
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1 0.08 1.00 9 60
 
 
285
Use of an Online Community to Develop Patient-Reported Outcome Instruments: The Multiple Sclerosis Treatment Adherence Questionnaire (MS-TAQ)
Paul Wicks, Michael Massagli, Amit Kulkarni, Homa Dastani
J Med Internet Res 2011;13(1):e12
(Jan 24, 2011)
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1 0.08 1.00 9 70
 
 
286
Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences
Arun Rai, Liwei Chen, Jessica Pye, Aaron Baird
J Med Internet Res 2013;15(8):e149
(Aug 2, 2013)
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1 0.08 0.00 9 55
 
 
287
The Effectiveness of Loyalty Rewards to Promote the Use of an Internet-Based Heart Health Program
Sam Liu, Corinne Hodgson, Ahmad M Zbib, Ada YM Payne, Robert P Nolan
J Med Internet Res 2014;16(7):e163
(Jul 2, 2014)
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19 11.78 0.00 8 70
 
 
288
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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18 2.28 35.00 8 60
 
 
289
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 1.61 9.00 8 65
 
 
290
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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11 1.50 8.00 8 50
 
 
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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.