Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
281
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
 
 
282
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
 
 
283
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
 
 
284
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
 
 
285
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
 
 
286
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
 
 
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 9.50 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 2.17 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 1.53 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 1.43 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.