Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
301
Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment
Rebecca Schnall, Anastasia Okoniewski, Victoria Tiase, Alexander Low, Martha Rodriguez, Steven Kaplan
J Med Internet Res 2013;15(3):e54
(Mar 6, 2013)
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5 0.42 0.00 18 75
 
 
302
Adolescents Just Do Not Know What They Want: A Qualitative Study to Describe Obese Adolescents’ Experiences of Text Messaging to Support Behavior Change Maintenance Post Intervention
Kyla L Smith, Deborah A Kerr, Ashley A Fenner, Leon M Straker
J Med Internet Res 2014;16(4):e103
(Apr 8, 2014)
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4 9.54 0.00 4 45
 
 
303
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 3.65 0.00 4 55
 
 
304
Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics
Holly O Witteman, Andrea Fuhrel-Forbis, Harindra C Wijeysundera, Nicole Exe, Mark Dickson, Lisa Holtzman, Valerie C Kahn, Brian J Zikmund-Fisher
J Med Internet Res 2014;16(3):e80
(Mar 18, 2014)
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4 3.65 0.00 4 50
 
 
305
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 2.70 0.00 4 60
 
 
306
Healthy Weight Regulation and Eating Disorder Prevention in High School Students: A Universal and Targeted Web-Based Intervention
Megan Jones, Katherine Taylor Lynch, Andrea E Kass, Amanda Burrows, Joanne Williams, Denise E Wilfley, C Barr Taylor
J Med Internet Res 2014;16(2):e57
(Feb 27, 2014)
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4 2.34 0.00 4 40
 
 
307
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 1.77 0.00 4 45
 
 
308
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 1.61 0.00 4 40
 
 
309
Caught in the Web: A Review of Web-Based Suicide Prevention
Mee Huong Lai, Thambu Maniam, Lai Fong Chan, Arun V Ravindran
J Med Internet Res 2014;16(1):e30
(Jan 28, 2014)
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4 1.49 0.00 4 25
 
 
310
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 1.29 0.00 3 40
 
 
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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.