Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
651
Participants, Usage, and Use Patterns of a Web-Based Intervention for the Prevention of Depression Within a Randomized Controlled Trial
Saskia M Kelders, Ernst T Bohlmeijer, Julia EWC Van Gemert-Pijnen
J Med Internet Res 2013;15(8):e172
(Aug 20, 2013)
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7 0.88 8.00 7 60
 
 
652
Major Infection Events Over 5 Years: How Is Media Coverage Influencing Online Information Needs of Health Care Professionals and the Public?
Patty Kostkova, David Fowler, Sue Wiseman, Julius R Weinberg
J Med Internet Res 2013;15(7):e107
(Jul 15, 2013)
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7 0.77 7.00 6 60
 
 
653
Interactive Algorithms for Teaching and Learning Acute Medicine in the Network of Medical Faculties MEFANET
Daniel Schwarz, Petr Štourač, Martin Komenda, Hana Harazim, Martina Kosinová, Jakub Gregor, Richard Hůlek, Olga Smékalová, Ivo Křikava, Roman Štoudek, Ladislav Dušek
J Med Internet Res 2013;15(7):e135
(Jul 8, 2013)
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7 0.75 7.00 7 60
 
 
654
Cardiovascular Health Effects of Internet-Based Encouragements to Do Daily Workplace Stair-Walks: Randomized Controlled Trial
Lars Louis Andersen, Emil Sundstrup, Marianne Boysen, Markus Due Jakobsen, Ole Steen Mortensen, Roger Persson
J Med Internet Res 2013;15(6):e127
(Jun 21, 2013)
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7 0.71 0.00 6 50
 
 
655
Online Health-Searching Behavior Among HIV-Seropositive and HIV-Seronegative Men Who Have Sex With Men in the Baltimore and Washington, DC Area
Ying Li, J Polk, Michael Plankey
J Med Internet Res 2013;15(5):e78
(May 3, 2013)
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7 0.61 29.00 6 25
 
 
656
Multilevel Growth Curve Analyses of Treatment Effects of a Web-Based Intervention for Stress Reduction: Randomized Controlled Trial
Filip Drozd, Sabine Raeder, Pål Kraft, Cato Alexander Bjørkli
J Med Internet Res 2013;15(4):e84
(Apr 22, 2013)
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7 0.59 7.00 6 45
 
 
657
Cost-Effectiveness and Cost-Utility of Internet-Based Computer Tailoring for Smoking Cessation
Eline Suzanne Smit, Silvia MAA Evers, Hein de Vries, Ciska Hoving
J Med Internet Res 2013;15(3):e57
(Mar 14, 2013)
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7 0.53 0.00 4 5
 
 
658
How User Characteristics Affect Use Patterns in Web-Based Illness Management Support for Patients with Breast and Prostate Cancer
Elin Børøsund, Milada Cvancarova, Mirjam Ekstedt, Shirley M. Moore, Cornelia M. Ruland
J Med Internet Res 2013;15(3):e34
(Mar 1, 2013)
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7 0.52 7.00 7 45
 
 
659
Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study
Amy Joanna Morgan, Anthony Francis Jorm, Andrew James Mackinnon
J Med Internet Res 2013;15(2):e31
(Feb 12, 2013)
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7 0.50 6.00 6 35
 
 
660
Periodic Email Prompts to Re-Use an Internet-Delivered Computer-Tailored Lifestyle Program: Influence of Prompt Content and Timing
Francine Schneider, Hein de Vries, Math Candel, Angelique van de Kar, Liesbeth van Osch
J Med Internet Res 2013;15(1):e23
(Jan 31, 2013)
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7 0.48 8.00 7 50
 
 
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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