Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study
Daniel Kutz, Kalpana Shankar, Kay Connelly
J Med Internet Res 2013;15(5):e83
(May 14, 2013)
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8 22.55 13.00 7 25
 
 
22
Understanding the Factors That Influence the Adoption and Meaningful Use of Social Media by Physicians to Share Medical Information
Brian S McGowan, Molly Wasko, Bryan Steven Vartabedian, Robert S Miller, Desirae D Freiherr, Maziar Abdolrasulnia
J Med Internet Res 2012;14(5):e117
(Sep 24, 2012)
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8 8.00 7.00 146 100
 
 
23
Online Health-Searching Behavior Among HIV-Seropositive and HIV-Seronegative Men Who Have Sex With Men in the Baltimore and Washington, DC Area
Ying Li, J Polk, Michael Plankey
J Med Internet Res 2013;15(5):e78
(May 3, 2013)
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7 9.86 28.00 7 25
 
 
24
Who Participates in Web-Assisted Tobacco Interventions? The Quit-Primo and National Dental Practice-Based Research Network Hi-Quit Studies
Rajani Shankar Sadasivam, Rebecca L Kinney, Kathryn Delaughter, Sowmya R Rao, Jessica Hillman Williams, Heather L Coley, Midge N Ray, Gregg H Gilbert, Jeroan J Allison, Daniel E Ford, Thomas K Houston, The National Dental PBRN And QUIT-PRIMO Collaborative Groups
J Med Internet Res 2013;15(5):e77
(May 1, 2013)
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7 9.04 6.00 7 35
 
 
25
Clinical Outcome and Cost-Effectiveness of a Synchronous Telehealth Service for Seniors and Nonseniors with Cardiovascular Diseases: Quasi-Experimental Study
Ying-Hsien Chen, Yen-Hung Lin, Chi-Sheng Hung, Ching-Chang Huang, Deng-Feng Yeih, Pao-Yu Chuang, Yi-Lwun Ho, Ming-Fong Chen
J Med Internet Res 2013;15(4):e87
(Apr 24, 2013)
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7 7.00 14.00 9 60
 
 
26
Which Bundles of Features in a Web-Based Personally Controlled Health Management System Are Associated With Consumer Help-Seeking Behaviors for Physical and Emotional Well-Being?
Annie Y.S. Lau, Judith Proudfoot, Annie Andrews, Siaw-Teng Liaw, Jacinta Crimmins, Amaƫl Arguel, Enrico Coiera
J Med Internet Res 2013;15(5):e79
(May 6, 2013)
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6 9.79 6.00 6 25
 
 
27
Predictors of Participant Retention in a Guided Online Self-Help Program for University Students: Prospective Cohort Study
Magdalena Wojtowicz, Victor Day, Patrick J McGrath
J Med Internet Res 2013;15(5):e96
(May 22, 2013)
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5 51.65 6.00 5 20
 
 
28
Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection
Daniel R Saunders, Peter J Bex, Russell L Woods
J Med Internet Res 2013;15(5):e100
(May 20, 2013)
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5 31.00 6.00 5 20
 
 
29
Computing Health Quality Measures Using Informatics for Integrating Biology and the Bedside
Jeffrey G. Klann, Shawn N. Murphy
J Med Internet Res 2013;15(4):e75
(Apr 19, 2013)
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4 4.00 6.00 7 50
 
 
30
Information and Communication Technology to Support Self-Management of Patients with Mild Acquired Cognitive Impairments: Systematic Review
Aboozar Eghdam, Jeremiah Scholl, Aniko Bartfai, Sabine Koch
J Med Internet Res 2012;14(6):e159
(Nov 19, 2012)
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4 4.00 6.00 19 85
 
 
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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.