Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
11
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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18 46.50 35.00 18 80
 
 
12
Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment
Erik Black, Jennifer Light, Nicole Paradise Black, Lindsay Thompson
J Med Internet Res 2013;15(5):e94
(May 17, 2013)
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16 99.19 40.00 16 80
 
 
13
Preferred Sources of Health Information in Persons With Multiple Sclerosis: Degree of Trust and Information Sought
Ruth Ann Marrie, Amber R Salter, Tuula Tyry, Robert J Fox, Gary R Cutter
J Med Internet Res 2013;15(4):e67
(Apr 30, 2013)
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12 16.91 44.00 12 65
 
 
14
Evaluation of a Web-Based Social Network Electronic Game in Enhancing Mental Health Literacy for Young People
Tim MH Li, Michael Chau, Paul WC Wong, Eliza SY Lai, Paul SF Yip
J Med Internet Res 2013;15(5):e80
(May 15, 2013)
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12 53.14 19.00 12 55
 
 
15
Hispanic Migrant Farm Workers' Attitudes Toward Mobile Phone-Based Telehealth for Management of Chronic Health Conditions
Matthew Price, Deborah Williamson, Romina McCandless, Martina Mueller, Mathew Gregoski, Brenda Brunner-Jackson, Eveline Treiber, Lydia Davidson, Frank Treiber
J Med Internet Res 2013;15(4):e76
(Apr 26, 2013)
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11 13.12 35.00 10 60
 
 
16
Patient Experiences With Full Electronic Access to Health Records and Clinical Notes Through the My HealtheVet Personal Health Record Pilot: Qualitative Study
Susan S Woods, Erin Schwartz, Anais Tuepker, Nancy A Press, Kim M Nazi, Carolyn L Turvey, W. Paul Nichol
J Med Internet Res 2013;15(3):e65
(Mar 27, 2013)
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11 11.00 14.00 72 100
 
 
17
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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10 11.07 20.00 9 60
 
 
18
Internet Use Among Older Adults: Association With Health Needs, Psychological Capital, and Social Capital
Namkee G Choi, Diana M DiNitto
J Med Internet Res 2013;15(5):e97
(May 16, 2013)
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10 51.68 13.00 10 50
 
 
19
Internet Access and Use in Adults With Hearing Loss
Elisabet Sundewall Thorén, Marie Öberg, Gunilla Wänström, Gerhard Andersson, Thomas Lunner
J Med Internet Res 2013;15(5):e91
(May 9, 2013)
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9 21.46 13.00 9 50
 
 
20
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 2011;13(4):e123
(Dec 16, 2011)
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9 9.00 6.00 536 100
 
 
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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.