Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
221
Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics
Holly O Witteman, Andrea Fuhrel-Forbis, Harindra C Wijeysundera, Nicole Exe, Mark Dickson, Lisa Holtzman, Valerie C Kahn, Brian J Zikmund-Fisher
J Med Internet Res 2014;16(3):e80
(Mar 18, 2014)
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4 3.87 0.00 4 50
 
 
222
Caught in the Web: A Review of Web-Based Suicide Prevention
Mee Huong Lai, Thambu Maniam, Lai Fong Chan, Arun V Ravindran
J Med Internet Res 2014;16(1):e30
(Jan 28, 2014)
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4 1.53 0.00 4 25
 
 
223
Patients’ Ratings of Family Physician Practices on the Internet: Usage and Associations With Conventional Measures of Quality in the English National Health Service
Felix Greaves, Utz J Pape, Henry Lee, Dianna M Smith, Ara Darzi, Azeem Majeed, Christopher Millett
J Med Internet Res 2012;14(5):e146
(Oct 17, 2012)
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4 0.67 0.00 42 95
 
 
224
Open Source, Open Standards, and Health Care Information Systems
Carl J Reynolds, Jeremy C Wyatt
J Med Internet Res 2011;13(1):e24
(Feb 17, 2011)
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4 0.67 0.00 8 30
 
 
225
Biological Calibration for Web-Based Hearing Tests: Evaluation of the Methods
Marcin Masalski, Tomasz Grysiński, Tomasz Kręcicki
J Med Internet Res 2014;16(1):e11
(Jan 15, 2014)
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4 1.32 0.00 3 40
 
 
226
Cancer Survivorship in the Age of YouTube and Social Media: A Narrative Analysis
Wen-Ying Sylvia Chou, Yvonne Hunt, Anna Folkers, Erik Augustson
J Med Internet Res 2011;13(1):e7
(Jan 17, 2011)
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4 0.67 0.00 30 100
 
 
227
Validation and Reliability of a Smartphone Application for the International Prostate Symptom Score Questionnaire: A Randomized Repeated Measures Crossover Study
Jae Heon Kim, Soon-Sun Kwon, Sung Ryul Shim, Hwa Yeon Sun, Young Myoung Ko, Dong-Il Chun, Won Jae Yang, Yun Seob Song
J Med Internet Res 2014;16(2):e38
(Feb 10, 2014)
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4 1.82 0.00 4 45
 
 
228
Healthy Weight Regulation and Eating Disorder Prevention in High School Students: A Universal and Targeted Web-Based Intervention
Megan Jones, Katherine Taylor Lynch, Andrea E Kass, Amanda Burrows, Joanne Williams, Denise E Wilfley, C Barr Taylor
J Med Internet Res 2014;16(2):e57
(Feb 27, 2014)
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4 2.43 0.00 4 40
 
 
229
A Pilot Study of Motivational Interviewing Training in a Virtual World
Suzanne Mitchell, Neil Heyden, Paul Schroy, Stephen Andrew, Ekaterina Sadikova, John Wiecha
J Med Internet Res 2011;13(3):e77
(Sep 26, 2011)
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4 0.67 0.00 28 85
 
 
230
Investigating the Congruence of Crowdsourced Information With Official Government Data: The Case of Pediatric Clinics
Minki Kim, Yuchul Jung, Dain Jung, Cinyoung Hur
J Med Internet Res 2014;16(2):e29
(Feb 3, 2014)
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4 1.65 0.00 4 40
 
 
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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.