Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
311
Use of Twitter Among Local Health Departments: An Analysis of Information Sharing, Engagement, and Action
Brad L Neiger, Rosemary Thackeray, Scott H Burton, Callie R Thackeray, Jennifer H Reese
J Med Internet Res 2013;15(8):e177
(Aug 19, 2013)
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5 0.42 0.00 40 95
 
 
312
Communications Between Volunteers and Health Researchers during Recruitment and Informed Consent: Qualitative Content Analysis of Email Interactions
Anne Townsend, Zubin Amarsi, Catherine Backman, Susan M Cox, Linda C Li
J Med Internet Res 2011;13(4):e84
(Oct 13, 2011)
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5 0.42 0.00 2 0
 
 
313
Partnership for Health-2, A Web-Based Versus Print Smoking Cessation Intervention for Childhood and Young Adult Cancer Survivors: Randomized Comparative Effectiveness Study
Karen M Emmons, Elaine Puleo, Kim Sprunck-Harrild, Jennifer Ford, Jamie S Ostroff, David Hodgson, Mark Greenberg, Lisa Diller, Janet de Moor, Vida Tyc
J Med Internet Res 2013;15(11):e218
(Nov 5, 2013)
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4 0.38 17.00 3 15
 
 
314
The Conceptual and Practical Ethical Dilemmas of Using Health Discussion Board Posts as Research Data
Carol S Bond, Osman Hassan Ahmed, Martin Hind, Bronwen Thomas, Jaqui Hewitt-Taylor
J Med Internet Res 2013;15(6):e112
(Jun 7, 2013)
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4 0.33 10.00 29 90
 
 
315
Using Multiple Imputations to Accommodate Time-Outs in Online Interventions
Susan M Shortreed, Andy Bogart, Jennifer B McClure
J Med Internet Res 2013;15(11):e252
(Nov 21, 2013)
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4 0.40 10.00 3 25
 
 
316
For Whom Does It Work? Moderators of Outcome on the Effect of a Transdiagnostic Internet-Based Maintenance Treatment After Inpatient Psychotherapy: Randomized Controlled Trial
David Daniel Ebert, Mario Gollwitzer, Heleen Riper, Pim Cuijpers, Harald Baumeister, Matthias Berking
J Med Internet Res 2013;15(10):e191
(Oct 10, 2013)
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4 0.35 9.00 3 20
 
 
317
Chinese My Trauma Recovery, A Web-Based Intervention for Traumatized Persons in Two Parallel Samples: Randomized Controlled Trial
Zhiyun Wang, Jianping Wang, Andreas Maercker
J Med Internet Res 2013;15(9):e213
(Sep 30, 2013)
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4 0.34 8.00 4 40
 
 
318
Patients’ Engagement With “Sweet Talk” – A Text Messaging Support System for Young People With Diabetes
Victoria Franklin, Alexandra Greene, Annalu Waller, Stephen Greene, Claudia Pagliari
J Med Internet Res 2008;10(2):e20
(Jun 30, 2008)
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4 0.33 0.00 1 95
 
 
319
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 0.33 0.00 10 35
 
 
320
Common Cold Symptoms in Children: Results of an Internet-Based Surveillance Program
Emanuel Troullos, Lisa Baird, Shyamalie Jayawardena
J Med Internet Res 2014;16(6):e144
(Jun 19, 2014)
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4 1.20 0.00 4 35
 
 
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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.