Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
221
Virtual Patients in Primary Care: Developing a Reusable Model That Fosters Reflective Practice and Clinical Reasoning
Helena Salminen, Nabil Zary, Karin Björklund, Eva Toth-Pal, Charlotte Leanderson
J Med Internet Res 2014;16(1):e3
(Jan 6, 2014)
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2 0.33 0.00 8 50
 
 
222
Design of a Website on Nutrition and Physical Activity for Adolescents: Results From Formative Research
Debbe Thompson, Karen Weber Cullen, Carol Boushey, Karen Konzelmann
J Med Internet Res 2012;14(2):e59
(Apr 26, 2012)
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2 0.33 0.00 22 80
 
 
223
The Effects on Health Behavior and Health Outcomes of Internet-Based Asynchronous Communication Between Health Providers and Patients With a Chronic Condition: A Systematic Review
Catharina Carolina de Jong, Wynand JG Ros, Guus Schrijvers
J Med Internet Res 2014;16(1):e19
(Jan 16, 2014)
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2 0.33 0.00 16 95
 
 
224
Health-Related Effects Reported by Electronic Cigarette Users in Online Forums
My Hua, Mina Alfi, Prue Talbot
J Med Internet Res 2013;15(4):e59
(Apr 8, 2013)
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1 0.17 0.00 13 65
 
 
225
Cardiovascular Health Effects of Internet-Based Encouragements to Do Daily Workplace Stair-Walks: Randomized Controlled Trial
Lars Louis Andersen, Emil Sundstrup, Marianne Boysen, Markus Due Jakobsen, Ole Steen Mortensen, Roger Persson
J Med Internet Res 2013;15(6):e127
(Jun 21, 2013)
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1 0.17 0.00 6 50
 
 
226
Preventing Smoking Relapse via Web-Based Computer-Tailored Feedback: A Randomized Controlled Trial
Iman Elfeddali, Catherine Bolman, Math J.J.M. Candel, Reinout W. Wiers, Hein de Vries
J Med Internet Res 2012;14(4):e109
(Aug 20, 2012)
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1 0.17 0.00 8 40
 
 
227
Using Ecological Momentary Assessment to Test the Effectiveness of a Web-Based Brief Alcohol Intervention Over Time Among Heavy-Drinking Students: Randomized Controlled Trial
Carmen Voogt, Emmanuel Kuntsche, Marloes Kleinjan, Evelien Poelen, Rutger Engels
J Med Internet Res 2014;16(1):e5
(Jan 8, 2014)
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1 0.17 0.00 2 25
 
 
228
Seeking Insights About Cycling Mood Disorders via Anonymized Search Logs
Elad Yom-Tov, Ryen W White, Eric Horvitz
J Med Internet Res 2014;16(2):e65
(Feb 25, 2014)
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1 0.17 0.00 2 35
 
 
229
Internet and Social Media For Health-Related Information and Communication in Health Care: Preferences of the Dutch General Population
Tom H Van de Belt, Lucien JLPG Engelen, Sivera AA Berben, Steven Teerenstra, Melvin Samsom, Lisette Schoonhoven
J Med Internet Res 2013;15(10):e220
(Oct 2, 2013)
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1 0.17 0.00 22 90
 
 
230
Evaluation of an Internet-Based Hearing Test—Comparison with Established Methods for Detection of Hearing Loss
Christin Bexelius, Louise Honeth, Alexandra Ekman, Mikael Eriksson, Sven Sandin, Dan Bagger-Sjöbäck, Jan-Eric Litton
J Med Internet Res 2008;10(4):e32
(Oct 21, 2008)
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1 0.17 0.00 0 0
 
 
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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.