Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
381
Evaluating Aspects of Online Medication Safety in Long-Term Follow-Up of 136 Internet Pharmacies: Illegal Rogue Online Pharmacies Flourish and Are Long-Lived
Andras Fittler, Gergely Bősze, Lajos Botz
J Med Internet Res 2013;15(9):e199
(Sep 10, 2013)
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7 0.67 3.00 5 40
 
 
382
The Effectiveness of Electronic Screening and Brief Intervention for Reducing Levels of Alcohol Consumption: A Systematic Review and Meta-Analysis
Kim Donoghue, Robert Patton, Thomas Phillips, Paolo Deluca, Colin Drummond
J Med Internet Res 2014;16(6):e142
(Jun 2, 2014)
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6 3.26 0.00 5 30
 
 
383
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 0.68 7.00 5 35
 
 
384
Exploring the Use and Effects of Deliberate Self-Harm Websites: An Internet-Based Study
Isobel Marion Harris, Lesley Martine Roberts
J Med Internet Res 2013;15(12):e285
(Dec 20, 2013)
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6 0.84 10.00 5 30
 
 
385
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 0.78 23.00 5 45
 
 
386
Internet-Based Cognitive Behavioral Therapy for Patients With Chronic Somatic Conditions: A Meta-Analytic Review
Sylvia van Beugen, Maaike Ferwerda, Dane Hoeve, Maroeska M Rovers, Saskia Spillekom-van Koulil, Henriët van Middendorp, Andrea WM Evers
J Med Internet Res 2014;16(3):e88
(Mar 27, 2014)
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6 1.50 0.00 5 55
 
 
387
Effectiveness of a Web-Based Tailored Intervention (E-health4Uth) and Consultation to Promote Adolescents’ Health: Randomized Controlled Trial
Rienke Bannink, Suzanne Broeren, Evelien Joosten-van Zwanenburg, Els van As, Petra van de Looij-Jansen, Hein Raat
J Med Internet Res 2014;16(5):e143
(May 30, 2014)
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6 3.10 0.00 5 35
 
 
388
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 0.79 15.00 5 60
 
 
389
On Supplementing “Foot in the Door” Incentives for eHealth Program Engagement
Marc Steven Mitchell, Guy E Faulkner
J Med Internet Res 2014;16(7):e179
(Jul 25, 2014)
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5 38.76 0.00 5 55
 
 
390
Can an Internet-Based Health Risk Assessment Highlight Problems of Heart Disease Risk Factor Awareness? A Cross-Sectional Analysis
Justin B Dickerson, Catherine J McNeal, Ginger Tsai, Cathleen M Rivera, Matthew Lee Smith, Robert L Ohsfeldt, Marcia G Ory
J Med Internet Res 2014;16(4):e106
(Apr 18, 2014)
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5 1.52 0.00 5 45
 
 
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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.