Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
471
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
 
 
472
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
 
 
473
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
 
 
474
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
 
 
475
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
 
 
476
A Comparison of Physician Pre-Adoption and Adoption Views on Electronic Health Records in Canadian Medical Practices
Norm Archer, Mihail Cocosila
J Med Internet Res 2011;13(3):e57
(Aug 12, 2011)
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1 0.08 0.00 10 55
 
 
477
A Text Messaging-Based Smoking Cessation Program for Adult Smokers: Randomized Controlled Trial
Michele Ybarra, A. Tülay Bağcı Bosi, Josephine Korchmaros, Salih Emri
J Med Internet Res 2012;14(6):e172
(Dec 27, 2012)
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1 0.08 0.00 8 60
 
 
478
Perceptions of Family Physician Trainees and Trainers Regarding the Usefulness of a Virtual Community of Practice
Stephen Barnett, Sandra C Jones, Sue Bennett, Don Iverson, Andrew Bonney
J Med Internet Res 2013;15(5):e92
(May 10, 2013)
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1 0.08 0.00 17 75
 
 
479
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
 
 
480
Clinical Outcome and Cost-Effectiveness of a Synchronous Telehealth Service for Seniors and Nonseniors with Cardiovascular Diseases: Quasi-Experimental Study
Ying-Hsien Chen, Yen-Hung Lin, Chi-Sheng Hung, Ching-Chang Huang, Deng-Feng Yeih, Pao-Yu Chuang, Yi-Lwun Ho, Ming-Fong Chen
J Med Internet Res 2013;15(4):e87
(Apr 24, 2013)
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1 0.08 0.00 8 55
 
 
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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.