Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
271
Directed Use of the Internet for Health Information by Patients With Chronic Kidney Disease: Prospective Cohort Study
Clarissa Jonas Diamantidis, Wanda Fink, Shiming Yang, Marni R Zuckerman, Jennifer Ginsberg, Peter Hu, Yan Xiao, Jeffrey C Fink
J Med Internet Res 2013;15(11):e251
(Nov 15, 2013)
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1 0.17 0.00 10 55
 
 
272
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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1 0.17 0.00 46 95
 
 
273
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 0.17 0.00 12 50
 
 
274
Evaluation of an Internet-Based Hearing Test—Comparison with Established Methods for Detection of Hearing Loss
Christin Bexelius, Louise Honeth, Alexandra Ekman, Mikael Eriksson, Sven Sandin, Dan Bagger-Sjöbäck, Jan-Eric Litton
J Med Internet Res 2008;10(4):e32
(Oct 21, 2008)
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1 0.17 0.00 0 0
 
 
275
A Smartphone-Based Intervention With Diaries and Therapist-Feedback to Reduce Catastrophizing and Increase Functioning in Women With Chronic Widespread Pain: Randomized Controlled Trial
Ólöf Birna Kristjánsdóttir, Egil A. Fors, Erlend Eide, Arnstein Finset, Tonje Lauritzen Stensrud, Sandra van Dulmen, Sigrid Hørven Wigers, Hilde Eide
J Med Internet Res 2013;15(1):e5
(Jan 7, 2013)
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1 0.17 0.00 20 75
 
 
276
Can Social Semantic Web Techniques Foster Collaborative Curriculum Mapping In Medicine?
Cord Spreckelsen, Sonja Finsterer, Jan Cremer, Hennig Schenkat
J Med Internet Res 2013;15(8):e169
(Aug 15, 2013)
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1 0.17 0.00 21 95
 
 
277
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 0.17 0.00 17 75
 
 
278
Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
Morwenna Kirwan, Corneel Vandelanotte, Andrew Fenning, Mitch J Duncan
J Med Internet Res 2013;15(11):e235
(Nov 13, 2013)
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1 0.17 0.00 23 90
 
 
279
Correction: 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 2012;14(1):e7
(Jan 4, 2012)
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1 0.17 0.00 12 25
 
 
280
Motivators and Motivations to Persist With Online Psychological Interventions: A Qualitative Study of Treatment Completers
Liesje Donkin, Nick Glozier
J Med Internet Res 2012;14(3):e91
(Jun 22, 2012)
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1 0.17 0.00 6 15
 
 
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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.