Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
461
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 3.26 6.00 5 15
 
 
462
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 0.38 6.00 5 0
 
 
463
A Multidimensional View of Personal Health Systems for Underserved Populations
Thomas A Horan, Nathan E Botts, Richard J Burkhard
J Med Internet Res 2010;12(3):e32
(Aug 4, 2010)
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6 0.18 30.00 5 0
 
 
464
Acceptability of a Clinician-Assisted Computerized Psychological Intervention for Comorbid Mental Health and Substance Use Problems: Treatment Adherence Data from a Randomized Controlled Trial
Frances Kay-Lambkin, Amanda Baker, Terry Lewin, Vaughan Carr
J Med Internet Res 2011;13(1):e11
(Jan 27, 2011)
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6 0.22 11.00 5 40
 
 
465
Do Family Physicians Retrieve Synopses of Clinical Research Previously Read as Email Alerts?
Roland Grad, Pierre Pluye, Janique Johnson-Lafleur, Vera Granikov, Michael Shulha, Gillian Bartlett, Bernard Marlow
J Med Internet Res 2011;13(4):e101
(Nov 30, 2011)
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6 0.35 11.00 5 0
 
 
466
Effectiveness of E-Self-help Interventions for Curbing Adult Problem Drinking: A Meta-analysis
Heleen Riper, Viola Spek, Brigitte Boon, Barbara Conijn, Jeannet Kramer, Katherina Martin-Abello, Filip Smit
J Med Internet Res 2011;13(2):e42
(Jun 30, 2011)
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6 0.27 16.00 5 15
 
 
467
Weight Change in a Commercial Web-Based Weight Loss Program and its Association With Website Use: Cohort Study
Melinda Neve, Philip J Morgan, Clare E Collins
J Med Internet Res 2011;13(4):e83
(Oct 12, 2011)
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6 0.32 11.00 5 0
 
 
468
Developing a Disease Outbreak Event Corpus
Mike Conway, Ai Kawazoe, Hutchatai Chanlekha, Nigel Collier
J Med Internet Res 2010;12(3):e43
(Sep 28, 2010)
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5 0.16 21.00 5 10
 
 
469
Community Attitudes to the Appropriation of Mobile Phones for Monitoring and Managing Depression, Anxiety, and Stress
Judith G Proudfoot, Gordon B Parker, Dusan Hadzi Pavlovic, Vijaya Manicavasagar, Einat Adler, Alexis E Whitton
J Med Internet Res 2010;12(5):e64
(Dec 19, 2010)
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5 0.18 2.00 5 50
 
 
470
Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study
Daniel Kutz, Kalpana Shankar, Kay Connelly
J Med Internet Res 2013;15(5):e83
(May 14, 2013)
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5 22.14 13.00 5 15
 
 
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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