Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
281
Effectiveness of a Novel Integrative Online Treatment for Depression (Deprexis): Randomized Controlled Trial
Björn Meyer, Thomas Berger, Franz Caspar, Christopher Beevers, Gerhard Andersson, Mario Weiss
J Med Internet Res 2009;11(2):e15
(May 11, 2009)
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2 0.17 6.00 8 95
 
 
282
Self-Reported Differences in Empowerment Between Lurkers and Posters in Online Patient Support Groups
Cornelia van Uden-Kraan, Constance Drossaert, Erik Taal, Erwin Seydel, Mart van de Laar
J Med Internet Res 2008;10(2):e18
(Jun 30, 2008)
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2 0.17 7.00 0 0
 
 
283
Novel Technologies for Assessing Dietary Intake: Evaluating the Usability of a Mobile Telephone Food Record Among Adults and Adolescents
Bethany L Daugherty, TusaRebecca E Schap, Reynolette Ettienne-Gittens, Fengqing M Zhu, Marc Bosch, Edward J Delp, David S Ebert, Deborah A Kerr, Carol J Boushey
J Med Internet Res 2012;14(2):e58
(Apr 13, 2012)
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1 0.08 0.00 17 70
 
 
284
Why Business Modeling is Crucial in the Development of eHealth Technologies
Maarten van Limburg, Julia EWC van Gemert-Pijnen, Nicol Nijland, Hans C Ossebaard, Ron MG Hendrix, Erwin R Seydel
J Med Internet Res 2011;13(4):e124
(Dec 28, 2011)
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1 0.08 0.00 28 85
 
 
285
Web-Based Recruiting for Health Research Using a Social Networking Site: An Exploratory Study
Yeshe Fenner, Suzanne M Garland, Elya E Moore, Yasmin Jayasinghe, Ashley Fletcher, Sepehr N Tabrizi, Bharathy Gunasekaran, John D Wark
J Med Internet Res 2012;14(1):e20
(Feb 1, 2012)
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1 0.08 0.00 29 75
 
 
286
Opportunities and Challenges of Cloud Computing to Improve Health Care Services
Mu-Hsing Kuo
J Med Internet Res 2011;13(3):e67
(Sep 21, 2011)
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1 0.08 0.00 25 85
 
 
287
The Influence of User Characteristics and a Periodic Email Prompt on Exposure to an Internet-Delivered Computer-Tailored Lifestyle Program
Francine Schneider, Liesbeth van Osch, Daniela N Schulz, Stef PJ Kremers, Hein de Vries
J Med Internet Res 2012;14(2):e40
(Mar 1, 2012)
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1 0.08 0.00 7 10
 
 
288
Attitudes of Heart Failure Patients and Healthcare Providers towards Mobile Phone-Based Remote Monitoring
Emily Seto, Kevin J. Leonard, Caterina Masino, Joseph A. Cafazzo, Jan Barnsley, Heather J. Ross
J Med Internet Res 2010;12(4):e55
(Nov 29, 2010)
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1 0.08 0.00 8 35
 
 
289
Weight, Blood Pressure, and Dietary Benefits After 12 Months of a Web-based Nutrition Education Program (DASH for Health): Longitudinal Observational Study
Thomas Moore, Nour Alsabeeh, Caroline Apovian, Megan Murphy, Gerald Coffman, Howard Cabral
J Med Internet Res 2008;10(4):e52
(Dec 12, 2008)
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1 0.08 0.00 2 80
 
 
290
Examining the Medical Blogosphere: An Online Survey of Medical Bloggers
Ivor Kovic, Ileana Lulic, Gordana Brumini
J Med Internet Res 2008;10(3):e28
(Sep 23, 2008)
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1 0.08 0.00 3 80
 
 
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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.