Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
31
Sharing Health Data for Better Outcomes on PatientsLikeMe
Paul Wicks, Michael Massagli, Jeana Frost, Catherine Brownstein, Sally Okun, Timothy Vaughan, Richard Bradley, James Heywood
J Med Internet Res 2010;12(2):e19
(Jun 14, 2010)
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15 1.25 30.00 46 95
 
 
32
Using Information Technology and Social Networking for Recruitment of Research Participants: Experience From an Exploratory Study of Pediatric Klinefelter Syndrome
Sharron Close, Arlene Smaldone, Ilene Fennoy, Nancy Reame, Margaret Grey
J Med Internet Res 2013;15(3):e48
(Mar 19, 2013)
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46 21.94 80.00 44 100
 
 
33
Learning in a Virtual World: Experience With Using Second Life for Medical Education
John Wiecha, Robin Heyden, Elliot Sternthal, Mario Merialdi
J Med Internet Res 2010;12(1):e1
(Jan 23, 2010)
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1 0.08 0.00 44 95
 
 
34
Patients’ Ratings of Family Physician Practices on the Internet: Usage and Associations With Conventional Measures of Quality in the English National Health Service
Felix Greaves, Utz J Pape, Henry Lee, Dianna M Smith, Ara Darzi, Azeem Majeed, Christopher Millett
J Med Internet Res 2012;14(5):e146
(Oct 17, 2012)
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71 10.10 87.00 43 95
 
 
35
There’s an App for That: Content Analysis of Paid Health and Fitness Apps
Joshua H. West, P. Cougar Hall, Carl L. Hanson, Michael D. Barnes, Christophe Giraud-Carrier, James Barrett
J Med Internet Res 2012;14(3):e72
(May 14, 2012)
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7 0.58 31.00 43 85
 
 
36
Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
J Med Internet Res 2011;13(3):e65
(Sep 22, 2011)
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6 0.50 21.00 43 100
 
 
37
Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy
Thomas Webb, Judith Joseph, Lucy Yardley, Susan Michie
J Med Internet Res 2010;12(1):e4
(Feb 17, 2010)
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2 0.17 0.00 40 90
 
 
38
The Impact of Electronic Patient Portals on Patient Care: A Systematic Review of Controlled Trials
Elske Ammenwerth, Petra Schnell-Inderst, Alexander Hoerbst
J Med Internet Res 2012;14(6):e162
(Nov 26, 2012)
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53 9.23 134.00 39 90
 
 
39
Disseminating Self-Help: Positive Psychology Exercises in an Online Trial
Stephen M. Schueller, Acacia C. Parks
J Med Internet Res 2012;14(3):e63
(Jun 25, 2012)
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49 4.58 82.00 39 90
 
 
40
Managing the Personal Side of Health: How Patient Expertise Differs from the Expertise of Clinicians
Andrea Hartzler, Wanda Pratt
J Med Internet Res 2011;13(3):e62
(Aug 16, 2011)
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5 0.42 0.00 39 100
 
 
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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.