Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
271
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
1 0.08 1.00 9 70
 
 
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
1 0.08 0.00 9 30
 
 
273
Internet-Based Photoaging Within Australian Pharmacies to Promote Smoking Cessation: Randomized Controlled Trial
Oksana Burford, Moyez Jiwa, Owen Carter, Richard Parsons, Delia Hendrie
J Med Internet Res 2013;15(3):e64
(Mar 26, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
1 0.08 0.00 9 45
 
 
274
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
17 4.39 35.00 8 60
 
 
275
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
13 3.20 9.00 8 65
 
 
276
Clinical Outcome and Cost-Effectiveness of a Synchronous Telehealth Service for Seniors and Nonseniors with Cardiovascular Diseases: Quasi-Experimental Study
Ying-Hsien Chen, Yen-Hung Lin, Chi-Sheng Hung, Ching-Chang Huang, Deng-Feng Yeih, Pao-Yu Chuang, Yi-Lwun Ho, Ming-Fong Chen
J Med Internet Res 2013;15(4):e87
(Apr 24, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
10 0.86 14.00 8 55
 
 
277
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
10 3.04 8.00 8 50
 
 
278
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
10 1.38 8.00 8 55
 
 
279
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
9 1.19 9.00 8 50
 
 
280
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
9 1.64 18.00 8 50
 
 
<< < 25  26  27  28 29  30  > >>
 
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.