Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
691
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 1.37 15.00 5 60
 
 
692
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 1.34 23.00 5 45
 
 
693
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 1.27 15.00 6 30
 
 
694
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(10):e240
(Oct 29, 2013)
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6 1.07 7.00 5 35
 
 
695
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
 
 
696
Limited Use of Price and Quality Advertising Among American Hospitals
David B Muhlestein, Chrisanne E A Wilks, Jason P Richter
J Med Internet Res 2013;15(8):e185
(Aug 29, 2013)
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6 0.79 9.00 6 30
 
 
697
Efficacy of Standard Versus Enhanced Features in a Web-Based Commercial Weight-Loss Program for Obese Adults, Part 2: Randomized Controlled Trial
Clare E Collins, Philip J Morgan, Melinda J Hutchesson, Robin Callister
J Med Internet Res 2013;15(7):e140
(Jul 22, 2013)
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6 0.68 13.00 5 45
 
 
698
Web-Based Newborn Screening System for Metabolic Diseases: Machine Learning Versus Clinicians
Wei-Hsin Chen, Sheau-Ling Hsieh, Kai-Ping Hsu, Han-Ping Chen, Xing-Yu Su, Yi-Ju Tseng, Yin-Hsiu Chien, Wuh-Liang Hwu, Feipei Lai
J Med Internet Res 2013;15(5):e98
(May 23, 2013)
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6 0.56 0.00 5 20
 
 
699
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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6 0.56 0.00 6 35
 
 
700
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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6 0.55 0.00 5 20
 
 
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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