Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
681
Preventing Smoking Relapse via Web-Based Computer-Tailored Feedback: A Randomized Controlled Trial
Iman Elfeddali, Catherine Bolman, Math J.J.M. Candel, Reinout W. Wiers, Hein de Vries
J Med Internet Res 2012;14(4):e109
(Aug 20, 2012)
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7 0.36 0.00 7 30
 
 
682
Mobile and Fixed Computer Use by Doctors and Nurses on Hospital Wards: Multi-method Study on the Relationships Between Clinician Role, Clinical Task, and Device Choice
Pia Andersen, Anne-Mette Lindgaard, Mirela Prgomet, Nerida Creswick, Johanna Westbrook
J Med Internet Res 2009;11(3):e32
(Aug 4, 2009)
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6 0.11 30.00 5 50
 
 
683
Young Men’s Views Toward the Barriers and Facilitators of Internet-Based Chlamydia Trachomatis Screening: Qualitative Study
Karen Lorimer, Lisa McDaid
J Med Internet Res 2013;15(12):e265
(Dec 3, 2013)
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6 1.35 23.00 5 45
 
 
684
Utilization Patterns and User Characteristics of an Ad Libitum Internet Weight Loss Program
Martin Binks, Trevor van Mierlo
J Med Internet Res 2010;12(1):e9
(Mar 29, 2010)
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6 0.13 19.00 6 30
 
 
685
Review of Online Evidence-based Practice Point-of-Care Information Summary Providers: Response by the Publisher of DynaMed
Brian Alper
J Med Internet Res 2010;12(3):e39
(Sep 9, 2010)
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6 0.14 17.00 6 15
 
 
686
Infodemiology of Alcohol Use in Hong Kong Mentioned on Blogs: Infoveillance Study
KL Chan, SY Ho, TH Lam
J Med Internet Res 2013;15(9):e192
(Sep 2, 2013)
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6 0.81 17.00 6 30
 
 
687
Effectiveness of a Web-Based Brief Alcohol Intervention and Added Value of Normative Feedback in Reducing Underage Drinking: A Randomized Controlled Trial
Renske Spijkerman, Marion A.E. Roek, Ad Vermulst, Lex Lemmers, Annemarie Huiberts, Rutger C.M.E. Engels
J Med Internet Res 2010;12(5):e65
(Dec 19, 2010)
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6 0.15 16.00 4 45
 
 
688
Leveraging Text Messaging and Mobile Technology to Support Pediatric Obesity-Related Behavior Change: A Qualitative Study Using Parent Focus Groups and Interviews
Mona Sharifi, Eileen M Dryden, Christine M Horan, Sarah Price, Richard Marshall, Karen Hacker, Jonathan A Finkelstein, Elsie M Taveras
J Med Internet Res 2013;15(12):e272
(Dec 6, 2013)
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6 1.38 15.00 5 60
 
 
689
Self-Reported Differences in Empowerment Between Lurkers and Posters in Online Patient Support Groups
Cornelia van Uden-Kraan, Constance Drossaert, Erik Taal, Erwin Seydel, Mart van de Laar
J Med Internet Res 2008;10(2):e18
(Jun 30, 2008)
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6 0.09 15.00 0 0
 
 
690
Metadata Correction: Design and Evaluation of a Simulation for Pediatric Dentistry in Virtual Worlds
Lazaros Papadopoulos, Afroditi-Evaggelia Pentzou, Konstantinos Louloudiadis, Thrasyvoulos-Konstantinos Tsiatsos
J Med Internet Res 2013;15(11):e268
(Nov 26, 2013)
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6 1.28 15.00 6 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.

 * Tweets Data Collection began January 2008