Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
331
Do Email and Mobile Phone Prompts Stimulate Primary School Children to Reuse an Internet-Delivered Smoking Prevention Intervention?
Henricus-Paul Cremers, Liesbeth Mercken, Rik Crutzen, Paul Willems, Hein de Vries, Anke Oenema
J Med Internet Res 2014;16(3):e86
(Mar 18, 2014)
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4 0.80 0.00 4 55
 
 
332
Multimodal Guided Self-Help Exercise Program to Prevent Speech, Swallowing, and Shoulder Problems Among Head and Neck Cancer Patients: A Feasibility Study
Ingrid C Cnossen, Cornelia F van Uden-Kraan, Rico NPM Rinkel, IJke J Aalders, Cees JT de Goede, Remco de Bree, Patricia Doornaert, Derek HF Rietveld, Johannes A Langendijk, Birgit I Witte, C Rene Leemans, Irma M Verdonck-de Leeuw
J Med Internet Res 2014;16(3):e74
(Mar 6, 2014)
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4 0.74 0.00 4 60
 
 
333
Validation and Reliability of a Smartphone Application for the International Prostate Symptom Score Questionnaire: A Randomized Repeated Measures Crossover Study
Jae Heon Kim, Soon-Sun Kwon, Sung Ryul Shim, Hwa Yeon Sun, Young Myoung Ko, Dong-Il Chun, Won Jae Yang, Yun Seob Song
J Med Internet Res 2014;16(2):e38
(Feb 10, 2014)
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4 0.65 0.00 4 45
 
 
334
Investigating the Congruence of Crowdsourced Information With Official Government Data: The Case of Pediatric Clinics
Minki Kim, Yuchul Jung, Dain Jung, Cinyoung Hur
J Med Internet Res 2014;16(2):e29
(Feb 3, 2014)
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4 0.63 0.00 4 40
 
 
335
Biological Calibration for Web-Based Hearing Tests: Evaluation of the Methods
Marcin Masalski, Tomasz Grysiński, Tomasz Kręcicki
J Med Internet Res 2014;16(1):e11
(Jan 15, 2014)
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4 0.57 0.00 3 40
 
 
336
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 0.46 10.00 3 25
 
 
337
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 0.43 17.00 3 15
 
 
338
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 0.39 9.00 3 20
 
 
339
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 0.38 8.00 4 40
 
 
340
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 0.35 3.00 4 30
 
 
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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.