Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
441
How Patients With Schizophrenia Use the Internet: Qualitative Study
Beate Schrank, Ingrid Sibitz, Annemarie Unger, Michaela Amering
J Med Internet Res 2010;12(5):e70
(Dec 19, 2010)
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1 0.08 0.00 19 100
 
 
442
Risk Estimates From an Online Risk Calculator Are More Believable and Recalled Better When Expressed as Integers
Holly O Witteman, Brian J Zikmund-Fisher, Erika A Waters, Teresa Gavaruzzi, Angela Fagerlin
J Med Internet Res 2011;13(3):e54
(Sep 7, 2011)
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1 0.08 0.00 9 30
 
 
443
Supportive Accountability: A Model for Providing Human Support to Enhance Adherence to eHealth Interventions
David Mohr, Pim Cuijpers, Kenneth Lehman
J Med Internet Res 2011;13(1):e30
(Mar 10, 2011)
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1 0.08 0.00 2 0
 
 
444
Global Reach of Direct-to-Consumer Advertising Using Social Media for Illicit Online Drug Sales
Tim Ken Mackey, Bryan A Liang
J Med Internet Res 2013;15(5):e105
(May 29, 2013)
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1 0.08 0.00 12 60
 
 
445
Motivators and Motivations to Persist With Online Psychological Interventions: A Qualitative Study of Treatment Completers
Liesje Donkin, Nick Glozier
J Med Internet Res 2012;14(3):e91
(Jun 22, 2012)
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1 0.08 0.00 6 15
 
 
446
Using Metrics to Describe the Participative Stances of Members Within Discussion Forums
Ray Jones, Siobhan Sharkey, Janet Smithson, Tamsin Ford, Tobit Emmens, Elaine Hewis, Bryony Sheaves, Christabel Owens
J Med Internet Res 2011;13(1):e3
(Jan 10, 2011)
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1 0.08 0.00 8 80
 
 
447
Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences
Arun Rai, Liwei Chen, Jessica Pye, Aaron Baird
J Med Internet Res 2013;15(8):e149
(Aug 2, 2013)
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1 0.08 0.00 9 55
 
 
448
Measuring Physical Activity in a Cardiac Rehabilitation Population Using a Smartphone-Based Questionnaire
Leila Pfaeffli, Ralph Maddison, Yannan Jiang, Lance Dalleck, Marie Löf
J Med Internet Res 2013;15(3):e61
(Mar 22, 2013)
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1 0.08 0.00 15 65
 
 
449
Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention
Jeongeun Kim, Hyeoun-Ae Park
J Med Internet Res 2012;14(5):e133
(Oct 1, 2012)
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1 0.08 0.00 12 50
 
 
450
Differences in Reach and Attrition Between Web-Based and Print-Delivered Tailored Interventions Among Adults over 50 Years of Age: Clustered Randomized Trial
Denise Astrid Peels, Catherine Bolman, Rianne Henrica Johanna Golsteijn, Hein De Vries, Aart Nicolaas Mudde, Maartje Marieke van Stralen, Lilian Lechner
J Med Internet Res 2012;14(6):e179
(Dec 17, 2012)
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1 0.08 0.00 7 55
 
 
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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.