Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
721
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 1.80 0.00 4 45
 
 
722
Multimodal E-Mental Health Treatment for Depression: A Feasibility Trial
David C Mohr, Jennifer Duffecy, Ling Jin, Evette J Ludman, Adam Lewis, Mark Begale, Martin McCarthy Jr
J Med Internet Res 2010;12(5):e48
(Dec 19, 2010)
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4 0.10 0.00 4 25
 
 
723
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 2.38 0.00 4 40
 
 
724
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 3.76 0.00 4 50
 
 
725
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 1.51 0.00 4 25
 
 
726
Development and Testing of a Multimedia Internet-Based System for Fidelity and Monitoring of Multidimensional Treatment Foster Care
Edward G Feil, Peter G Sprengelmeyer, Betsy Davis, Patricia Chamberlain
J Med Internet Res 2012;14(5):e139
(Oct 16, 2012)
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4 0.23 0.00 4 25
 
 
727
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 3.76 0.00 4 55
 
 
728
An Evaluation of Web-Based Clinical Practice Guidelines for Managing Problems Associated with Cannabis Use
Melissa M. Norberg, Michael W. Turner, Sally E. Rooke, Julia M. Langton, Peter J. Gates
J Med Internet Res 2012;14(6):e169
(Dec 7, 2012)
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4 0.25 0.00 4 35
 
 
729
From eHealth Technologies to Interventions
Rik Crutzen
J Med Internet Res 2012;14(3):e93
(Jun 27, 2012)
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4 0.19 29.00 4 10
 
 
730
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 1.63 0.00 4 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.

 * Tweets Data Collection began January 2008