Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
291
How is an Electronic Screening and Brief Intervention Tool on Alcohol Use Received in a Student Population? A Qualitative and Quantitative Evaluation
Jessica Fraeyman, Paul Van Royen, Bart Vriesacker, Leen De Mey, Guido Van Hal
J Med Internet Res 2012;14(2):e56
(Apr 23, 2012)
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1 0.08 0.00 8 25
 
 
292
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
 
 
293
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
 
 
294
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
 
 
295
Effectiveness of a Web-based Intervention Aimed at Healthy Dietary and Physical Activity Behavior: A Randomized Controlled Trial About Users and Usage
Saskia M. Kelders, Julia E.W.C. Van Gemert-Pijnen, Andrea Werkman, Nicol Nijland, Erwin R. Seydel
J Med Internet Res 2011;13(2):e32
(Apr 14, 2011)
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1 0.08 0.00 8 40
 
 
296
Real-Time Social Support Through a Mobile Virtual Community to Improve Healthy Behavior in Overweight and Sedentary Adults: A Focus Group Analysis
Yoshimi Fukuoka, Emiko Kamitani, Kemberlee Bonnet, Teri Lindgren
J Med Internet Res 2011;13(3):e49
(Jul 14, 2011)
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1 0.08 0.00 13 70
 
 
297
A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies
Julia EWC van Gemert-Pijnen, Nicol Nijland, Maarten van Limburg, Hans C Ossebaard, Saskia M Kelders, Gunther Eysenbach, Erwin R Seydel
J Med Internet Res 2011;13(4):e111
(Dec 13, 2011)
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1 0.08 0.00 14 65
 
 
298
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
 
 
299
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
 
 
300
Hospital-Based Nurses’ Perceptions of the Adoption of Web 2.0 Tools for Knowledge Sharing, Learning, Social Interaction and the Production of Collective Intelligence
Adela S.M. Lau
J Med Internet Res 2011;13(4):e92
(Nov 11, 2011)
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1 0.08 0.00 28 90
 
 
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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.