Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
721
Do Family Physicians Retrieve Synopses of Clinical Research Previously Read as Email Alerts?
Roland Grad, Pierre Pluye, Janique Johnson-Lafleur, Vera Granikov, Michael Shulha, Gillian Bartlett, Bernard Marlow
J Med Internet Res 2011;13(4):e101
(Nov 30, 2011)
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5 0.18 1.00 4 0
 
 
722
Virtual Reality for Enhancing the Cognitive Behavioral Treatment of Obesity With Binge Eating Disorder: Randomized Controlled Study With One-Year Follow-up
Gian Luca Cesa, Gian Mauro Manzoni, Monica Bacchetta, Gianluca Castelnuovo, Sara Conti, Andrea Gaggioli, Fabrizia Mantovani, Enrico Molinari, Georgina Cárdenas-López, Giuseppe Riva
J Med Internet Res 2013;15(6):e113
(Jun 12, 2013)
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5 0.49 6.00 4 35
 
 
723
Supporting Informed Decision Making Online in 20 Minutes: An Observational Web-log Study of a PSA Test Decision Aid
Natalie Joseph-Williams, Rhodri Evans, Adrian Edwards, Robert G Newcombe, Patricia Wright, Richard Grol, Glyn Elwyn
J Med Internet Res 2010;12(2):e15
(May 26, 2010)
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5 0.11 10.00 4 15
 
 
724
Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks
Hua Gu, Bin Chen, Honghong Zhu, Tao Jiang, Xinyi Wang, Lei Chen, Zhenggang Jiang, Dawei Zheng, Jianmin Jiang
J Med Internet Res 2014;16(1):e20
(Jan 17, 2014)
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5 1.58 0.00 4 40
 
 
725
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
 
 
726
Patients’ Experiences of Helpfulness in Guided Internet-Based Treatment for Depression: Qualitative Study of Integrated Therapeutic Dimensions
Kjersti R Lillevoll, Maja Wilhelmsen, Nils Kolstrup, Ragnhild Sørensen Høifødt, Knut Waterloo, Martin Eisemann, Mette Bech Risør
J Med Internet Res 2013;15(6):e126
(Jun 20, 2013)
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4 0.40 7.00 4 35
 
 
727
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
 
 
728
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 1.68 0.00 4 45
 
 
729
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 7.29 0.00 4 45
 
 
730
Effectiveness of Web-Based Self-Disclosure Peer-to-Peer Support for Weight Loss: Randomized Controlled Trial
Mie Imanaka, Masahiko Ando, Tetsuhisa Kitamura, Takashi Kawamura
J Med Internet Res 2013;15(7):e136
(Jul 9, 2013)
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4 0.43 7.00 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.

 * Tweets Data Collection began January 2008