Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
421
Computing Health Quality Measures Using Informatics for Integrating Biology and the Bedside
Jeffrey G. Klann, Shawn N. Murphy
J Med Internet Res 2013;15(4):e75
(Apr 19, 2013)
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1 0.08 0.00 6 45
 
 
422
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
 
 
423
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
 
 
424
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
 
 
425
A Text Messaging Intervention to Improve Heart Failure Self-Management After Hospital Discharge in a Largely African-American Population: Before-After Study
Shantanu Nundy, Rabia R Razi, Jonathan J Dick, Bryan Smith, Ainoa Mayo, Anne O'Connor, David O Meltzer
J Med Internet Res 2013;15(3):e53
(Mar 11, 2013)
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1 0.08 0.00 12 50
 
 
426
Correction: Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Gunther Eysenbach
J Med Internet Res 2012;14(1):e7
(Jan 4, 2012)
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1 0.08 0.00 12 25
 
 
427
Social Influence as a Driver of Engagement in a Web-Based Health Intervention
Josée Poirier, Nathan K Cobb
J Med Internet Res 2012;14(1):e36
(Feb 22, 2012)
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1 0.08 0.00 29 85
 
 
428
Use and Acceptance of Electronic Communication by Patients With Multiple Sclerosis: A Multicenter Questionnaire Study
Rocco Haase, Thorsten Schultheiss, Raimar Kempcke, Katja Thomas, Tjalf Ziemssen
J Med Internet Res 2012;14(5):e135
(Oct 15, 2012)
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1 0.08 0.00 19 75
 
 
429
Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception
Bo Liang, Debra L Scammon
J Med Internet Res 2013;15(6):e114
(Jun 17, 2013)
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1 0.08 0.00 25 85
 
 
430
Major Infection Events Over 5 Years: How Is Media Coverage Influencing Online Information Needs of Health Care Professionals and the Public?
Patty Kostkova, David Fowler, Sue Wiseman, Julius R Weinberg
J Med Internet Res 2013;15(7):e107
(Jul 15, 2013)
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1 0.08 0.00 6 60
 
 
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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.