Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
331
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 0.41 17.00 3 15
 
 
332
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 0.38 9.00 3 20
 
 
333
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 0.37 8.00 4 40
 
 
334
A Mobile and Ubiquitous Approach for Supporting Frailty Assessment in Elderly People
Jesús Fontecha, Ramon Hervás, José Bravo, Fco Javier Navarro
J Med Internet Res 2013;15(9):e197
(Sep 4, 2013)
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4 0.34 3.00 4 30
 
 
335
The Law of Attrition
Gunther Eysenbach
J Med Internet Res 2005;7(1):e11
(Mar 31, 2005)
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4 0.33 11.00 0 0
 
 
336
What Are Young Adults Saying About Mental Health? An Analysis of Internet Blogs
Madalyn A Marcus, Henny A Westra, John D Eastwood, Kirsten L Barnes, Mobilizing Minds Research Group
J Med Internet Res 2012;14(1):e17
(Jan 30, 2012)
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4 0.33 0.00 38 95
 
 
337
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 0.33 0.00 30 100
 
 
338
The Internet as a Vehicle to Communicate Health Information During a Public Health Emergency: A Survey Analysis Involving the Anthrax Scare of 2001
Anne F Kittler, John Hobbs, Lynn A Volk, Gary L Kreps, David W Bates
J Med Internet Res 2004;6(1):e8
(Mar 3, 2004)
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4 0.33 0.00 3 95
 
 
339
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 0.33 0.00 52 95
 
 
340
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
 
 
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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.