Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
171
Electronic Versus Paper-Based Assessment of Health-Related Quality of Life Specific to HIV Disease: Reliability Study of the PROQOL-HIV Questionnaire
Martin Duracinsky, Christophe Lalanne, CĂ©cile Goujard, Susan Herrmann, Christian Cheung-Lung, Jean-Paul Brosseau, Yannick Schwartz, Olivier Chassany
J Med Internet Res 2014;16(4):e115
(Apr 25, 2014)
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4 0.84 0.00 4 30
 
 
172
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 0.67 0.00 4 25
 
 
173
The Management of Acute Adverse Effects of Breast Cancer Treatment in General Practice: A Video-Vignette Study
Moyez Jiwa, Anne Long, Tim Shaw, Georgina Pagey, Georgia Halkett, Vinita Pillai, Xingqiong Meng
J Med Internet Res 2014;16(9):e204
(Sep 3, 2014)
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4 7.75 0.00 4 55
 
 
174
Broad Reach and Targeted Recruitment Using Facebook for an Online Survey of Young Adult Substance Use
Danielle E. Ramo, Judith J. Prochaska
J Med Internet Res 2012;14(1):e28
(Feb 23, 2012)
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4 0.67 0.00 10 35
 
 
175
Increased Use of Twitter at a Medical Conference: A Report and a Review of the Educational Opportunities
Douglas RA McKendrick, Grant P Cumming, Amanda J Lee
J Med Internet Res 2012;14(6):e176
(Dec 11, 2012)
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4 0.67 0.00 105 95
 
 
176
The 1% Rule in Four Digital Health Social Networks: An Observational Study
Trevor van Mierlo
J Med Internet Res 2014;16(2):e33
(Feb 4, 2014)
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4 0.67 0.00 118 100
 
 
177
Young Men, Mental Health, and Technology: Implications for Service Design and Delivery in the Digital Age
Louise A Ellis, Philippa Collin, Tracey A Davenport, Patrick J Hurley, Jane M Burns, Ian B Hickie
J Med Internet Res 2012;14(6):e160
(Nov 22, 2012)
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4 0.67 0.00 52 95
 
 
178
Adolescents Just Do Not Know What They Want: A Qualitative Study to Describe Obese Adolescents’ Experiences of Text Messaging to Support Behavior Change Maintenance Post Intervention
Kyla L Smith, Deborah A Kerr, Ashley A Fenner, Leon M Straker
J Med Internet Res 2014;16(4):e103
(Apr 8, 2014)
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4 0.76 0.00 4 45
 
 
179
Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months
Lichin Chen, Lee-Ming Chuang, Chia-Hsiun Chang, Chiou-Shiang Wang, I-Ching Wang, Yufang Chung, Hui-Yu Peng, Hui-Chuen Chen, Yu-Ling Hsu, Yu-Sheng Lin, Huang-Jen Chen, Tieng-Chun Chang, Yi-Der Jiang, Hung-Chang Lee, Ching-Ting Tan, Hsin-Lu Chang, Feipei Lai
J Med Internet Res 2013;15(12):e266
(Dec 9, 2013)
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3 0.50 0.00 14 95
 
 
180
A Decade of Research on the Use of Three-Dimensional Virtual Worlds in Health Care: A Systematic Literature Review
Reza Ghanbarzadeh, Amir Hossein Ghapanchi, Michael Blumenstein, Amir Talaei-Khoei
J Med Internet Res 2014;16(2):e47
(Feb 18, 2014)
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3 0.50 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.