Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
501
Predictors of Retention in an Online Follow-up Study of Men Who Have Sex With Men
Christine M Khosropour, Patrick S Sullivan
J Med Internet Res 2011;13(3):e47
(Jul 11, 2011)
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6 0.27 11.00 6 25
 
 
502
e-Health Code of Ethics (May 24)
Helga Rippen, Ahmad Risk
J Med Internet Res 2000;2(2):e9
(May 24, 2000)
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6 0.09 10.00 0 0
 
 
503
A Brief Web-Based Screening Questionnaire for Common Mental Disorders: Development and Validation
Tara Donker, Annemieke van Straten, Isaac M. Marks, Pim Cuijpers
J Med Internet Res 2009;11(3):e19
(Jul 24, 2009)
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6 0.13 10.00 6 60
 
 
504
The Influence of Response Mode on Study Results: Offering Cigarette Smokers a Choice of Postal or Online Completion of a Survey
Peter W Callas, Laura J Solomon, John R Hughes, Amy E Livingston
J Med Internet Res 2010;12(4):e46
(Oct 21, 2010)
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6 0.20 10.00 3 10
 
 
505
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 3.05 6.00 5 15
 
 
506
Prospective Associations Between Intervention Components and Website Engagement in a Publicly Available Physical Activity Website: The Case of 10,000 Steps Australia
Cally Davies, Kelly Corry, Anetta Van Itallie, Corneel Vandelanotte, Cristina Caperchione, W Kerry Mummery
J Med Internet Res 2012;14(1):e4
(Jan 11, 2012)
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6 0.37 6.00 5 0
 
 
507
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 2.82 6.00 4 5
 
 
508
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 9.79 6.00 6 25
 
 
509
Influence of Delivery Strategy on Message-Processing Mechanisms and Future Adherence to a Dutch Computer-Tailored Smoking Cessation Intervention
Nicola Esther Stanczyk, Rik Crutzen, Catherine Bolman, Jean Muris, Hein de Vries
J Med Internet Res 2013;15(2):e28
(Feb 6, 2013)
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6 1.72 6.00 6 40
 
 
510
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 2.86 0.00 6 20
 
 
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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