Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
411
An Evaluation of the Use of Smartphones to Communicate Between Clinicians: A Mixed-Methods Study
Robert Wu, Peter Rossos, Sherman Quan, Scott Reeves, Vivian Lo, Brian Wong, Mark Cheung, Dante Morra
J Med Internet Res 2011;13(3):e59
(Aug 29, 2011)
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1 0.08 0.00 27 95
 
 
412
Usability Evaluation of a Web-Based Support System for People With a Schizophrenia Diagnosis
Lian van der Krieke, Ando C Emerencia, Marco Aiello, Sjoerd Sytema
J Med Internet Res 2012;14(1):e24
(Feb 6, 2012)
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1 0.08 0.00 12 45
 
 
413
Scope of Policy Issues in eHealth: Results From a Structured Literature Review
Shariq Khoja, Hammad Durrani, Parvez Nayani, Ammad Fahim
J Med Internet Res 2012;14(1):e34
(Feb 17, 2012)
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1 0.08 0.00 13 50
 
 
414
Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy
Thomas Webb, Judith Joseph, Lucy Yardley, Susan Michie
J Med Internet Res 2010;12(1):e4
(Feb 17, 2010)
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1 0.08 0.00 39 90
 
 
415
Teaching Elderly Adults to Use the Internet to Access Health Care Information: Before-After Study
Robert J Campbell, David A Nolfi
J Med Internet Res 2005;7(2):e19
(Jun 30, 2005)
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1 0.08 0.00 0 0
 
 
416
Young Men, Mental Health, and Technology: Implications for Service Design and Delivery in the Digital Age
Louise A Ellis, Philippa Collin, Tracey A Davenport, Patrick J Hurley, Jane M Burns, Ian B Hickie
J Med Internet Res 2012;14(6):e160
(Nov 22, 2012)
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1 0.08 0.00 52 95
 
 
417
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
 
 
418
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
 
 
419
Cardiopulmonary Resuscitation Training in High School Using Avatars in Virtual Worlds: An International Feasibility Study
Johan Creutzfeldt, Leif Hedman, LeRoy Heinrichs, Patricia Youngblood, Li Felländer-Tsai
J Med Internet Res 2013;15(1):e9
(Jan 14, 2013)
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1 0.08 0.00 10 55
 
 
420
Improving Diabetes Care for Young People With Type 1 Diabetes Through Visual Learning on Mobile Phones: Mixed-Methods Study
Dag Helge Frøisland, Eirik Årsand, Finn Skårderud
J Med Internet Res 2012;14(4):e111
(Aug 6, 2012)
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1 0.08 0.00 15 75
 
 
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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.