Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
201
Sharing Health Data for Better Outcomes on PatientsLikeMe
Paul Wicks, Michael Massagli, Jeana Frost, Catherine Brownstein, Sally Okun, Timothy Vaughan, Richard Bradley, James Heywood
J Med Internet Res 2010;12(2):e19
(Jun 14, 2010)
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3 0.50 0.00 46 95
 
 
202
Correlates of Health-Related Social Media Use Among Adults
Rosemary Thackeray, Benjamin T. Crookston, Joshua H. West
J Med Internet Res 2013;15(1):e21
(Jan 30, 2013)
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3 0.50 0.00 54 100
 
 
203
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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3 0.50 0.00 22 85
 
 
204
A Text Message-Based Intervention for Weight Loss: Randomized Controlled Trial
Kevin Patrick, Fred Raab, Marc Adams, Lindsay Dillon, Marion Zabinski, Cheryl Rock, William Griswold, Gregory Norman
J Med Internet Res 2009;11(1):e1
(Jan 13, 2009)
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3 0.50 0.00 1 70
 
 
205
Effect of a Kinect-Based Exercise Game on Improving Executive Cognitive Performance in Community-Dwelling Elderly: Case Control Study
Hiroki Kayama, Kazuya Okamoto, Shu Nishiguchi, Minoru Yamada, Tomohiro Kuroda, Tomoki Aoyama
J Med Internet Res 2014;16(2):e61
(Feb 24, 2014)
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3 0.50 0.00 6 55
 
 
206
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
 
 
207
Growing a Professional Network to Over 3000 Members in Less Than 4 Years: Evaluation of InspireNet, British Columbia’s Virtual Nursing Health Services Research Network
Noreen Frisch, Pat Atherton, Elizabeth Borycki, Grace Mickelson, Jennifer Cordeiro, Helen Novak Lauscher, Agnes Black
J Med Internet Res 2014;16(2):e49
(Feb 21, 2014)
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3 0.50 0.00 7 45
 
 
208
Online Social Networks and Smoking Cessation: A Scientific Research Agenda
Nathan K Cobb, Amanda L Graham, M Justin Byron, David B Abrams, Workshop Participants
J Med Internet Res 2011;13(4):e119
(Dec 19, 2011)
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3 0.50 0.00 19 80
 
 
209
Increasing Physical Activity With Mobile Devices: A Meta-Analysis
Jason Fanning, Sean P Mullen, Edward McAuley
J Med Internet Res 2012;14(6):e161
(Nov 21, 2012)
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3 0.50 0.00 49 95
 
 
210
The Personal Health Record Paradox: Health Care Professionals’ Perspectives and the Information Ecology of Personal Health Record Systems in Organizational and Clinical Settings
Kim M. Nazi
J Med Internet Res 2013;15(4):e70
(Apr 4, 2013)
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2 0.33 0.00 22 80
 
 
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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.