Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
481
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
 
 
482
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
 
 
483
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
 
 
484
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
 
 
485
Predictors of Participant Retention in a Guided Online Self-Help Program for University Students: Prospective Cohort Study
Magdalena Wojtowicz, Victor Day, Patrick J McGrath
J Med Internet Res 2013;15(5):e96
(May 22, 2013)
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6 46.51 6.00 6 25
 
 
486
Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection
Daniel R Saunders, Peter J Bex, Russell L Woods
J Med Internet Res 2013;15(5):e100
(May 20, 2013)
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6 31.01 6.00 6 25
 
 
487
Which Bundles of Features in a Web-Based Personally Controlled Health Management System Are Associated With Consumer Help-Seeking Behaviors for Physical and Emotional Well-Being?
Annie Y.S. Lau, Judith Proudfoot, Annie Andrews, Siaw-Teng Liaw, Jacinta Crimmins, Amaël Arguel, Enrico Coiera
J Med Internet Res 2013;15(5):e79
(May 6, 2013)
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6 9.30 6.00 6 25
 
 
488
The Effect of Program Design on Engagement With an Internet-Based Smoking Intervention: Randomized Factorial Trial
Jennifer B McClure, Susan M Shortreed, Andy Bogart, Holly Derry, Karin Riggs, Jackie St John, Vijay Nair, Larry An
J Med Internet Res 2013;15(3):e69
(Mar 25, 2013)
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6 3.00 6.00 5 15
 
 
489
Comparison of Web-Based and Paper-Based Administration of ADHD Questionnaires for Adults
Oliver Hirsch, Franziska Hauschild, Martin H. Schmidt, Erika Baum, Hanna Christiansen
J Med Internet Res 2013;15(3):e47
(Mar 21, 2013)
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6 2.82 0.00 6 20
 
 
490
An Assessment of Incentive Versus Survey Length Trade-offs in a Web Survey of Radiologists
Jeanette Y Ziegenfuss, Blake D Niederhauser, David Kallmes, Timothy J Beebe
J Med Internet Res 2013;15(3):e49
(Mar 20, 2013)
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6 2.78 6.00 4 5
 
 
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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