Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
491
Packaging and Labeling of Pharmaceutical Products Obtained from the Internet
Michael Veronin
J Med Internet Res 2011;13(1):e22
(Feb 15, 2011)
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7 0.25 28.00 7 20
 
 
492
Security Considerations for E-Mental Health Interventions
Kylie Bennett, Anthony James Bennett, Kathleen Margaret Griffiths
J Med Internet Res 2010;12(5):e61
(Dec 19, 2010)
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7 0.24 16.00 5 50
 
 
493
Dropout, Nonusage Attrition, and Pretreatment Predictors of Nonusage Attrition in a Commercial Web-Based Weight Loss Program
Melinda J Neve, Clare E Collins, Philip J Morgan
J Med Internet Res 2010;12(4):e69
(Dec 14, 2010)
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7 0.24 30.00 6 30
 
 
494
Usability Testing of an Online Self-management Program for Adolescents With Juvenile Idiopathic Arthritis
Jennifer Stinson, Patrick McGrath, Ellen Hodnett, Brian Feldman, Ciaran Duffy, Adam Huber, Lori Tucker, Ross Hetherington, Shirley Tse, Lynn Spiegel, Sarah Campillo, Navreet Gill, Meghan White
J Med Internet Res 2010;12(3):e30
(Jul 29, 2010)
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7 0.21 30.00 7 15
 
 
495
Supporting Informed Decision Making Online in 20 Minutes: An Observational Web-log Study of a PSA Test Decision Aid
Natalie Joseph-Williams, Rhodri Evans, Adrian Edwards, Robert G Newcombe, Patricia Wright, Richard Grol, Glyn Elwyn
J Med Internet Res 2010;12(2):e15
(May 26, 2010)
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7 0.19 27.00 5 15
 
 
496
Usability of a Patient Education and Motivation Tool Using Heuristic Evaluation
Ashish Joshi, Mohit Arora, Liwe Dai, Kathleen Price, Lisa Vizer, Andrew Sears
J Med Internet Res 2009;11(4):e47
(Nov 6, 2009)
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7 0.16 18.00 7 40
 
 
497
The Effect of Credibility-Related Design Cues on Responses to a Web-Based Message About the Breast Cancer Risks From Alcohol: Randomized Controlled Trial
Peter Harris, Elizabeth Sillence, Pamela Briggs
J Med Internet Res 2009;11(3):e37
(Aug 25, 2009)
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7 0.16 21.00 7 50
 
 
498
Using the Internet for Health-Related Activities: Findings From a National Probability Sample
Nancy Atkinson, Sandra Saperstein, John Pleis
J Med Internet Res 2009;11(1):e4
(Feb 20, 2009)
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7 0.14 26.00 0 0
 
 
499
Examining the Medical Blogosphere: An Online Survey of Medical Bloggers
Ivor Kovic, Ileana Lulic, Gordana Brumini
J Med Internet Res 2008;10(3):e28
(Sep 23, 2008)
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7 0.13 34.00 3 80
 
 
500
The Law of Attrition
Gunther Eysenbach
J Med Internet Res 2005;7(1):e11
(Mar 31, 2005)
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7 0.11 40.00 0 0
 
 
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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.

 * Tweets Data Collection began January 2008