Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
51
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 1.35 15.00 5 60
 
 
52
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 1.26 15.00 6 30
 
 
53
Factors Associated With Intention to Use Internet-Based Testing for Sexually Transmitted Infections Among Men Who Have Sex With Men
Mark Gilbert, Travis Salway Hottes, Thomas Kerr, Darlene Taylor, Christopher K Fairley, Richard Lester, Tom Wong, Terry Trussler, Rick Marchand, Jean Shoveller, Gina Ogilvie
J Med Internet Res 2013;15(11):e254
(Nov 14, 2013)
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5 0.97 15.00 3 25
 
 
54
Security Concerns to Be Considered When Downloading Human Immunodeficiency Virus/Sexually Transmitted Disease Related Smartphone Applications
Savita Lorreta Brito-Mutunayagam, Imali Fernando
J Med Internet Res 2013;15(10):e222
(Oct 7, 2013)
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2 0.33 15.00 15 70
 
 
55
Effects of a Web-Based Intervention on Physical Activity and Metabolism in Older Adults: Randomized Controlled Trial
Carolien A Wijsman, Rudi GJ Westendorp, Evert ALM Verhagen, Michael Catt, P Eline Slagboom, Anton JM de Craen, Karen Broekhuizen, Willem van Mechelen, Diana van Heemst, Frans van der Ouderaa, Simon P Mooijaart
J Med Internet Res 2013;15(11):e233
(Nov 6, 2013)
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16 2.95 14.00 14 75
 
 
56
Considerations for Community-Based mHealth Initiatives: Insights From Three Beacon Communities
Nebeyou A Abebe, Korey L Capozza, Terrisca R Des Jardins, David A Kulick, Alison L Rein, Abigail A Schachter, Scott A Turske
J Med Internet Res 2013;15(10):e221
(Oct 15, 2013)
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4 0.67 14.00 28 90
 
 
57
The Sexunzipped Trial: Optimizing the Design of Online Randomized Controlled Trials
Julia V Bailey, Menelaos Pavlou, Andrew Copas, Ona McCarthy, Ken Carswell, Greta Rait, Graham Hart, Irwin Nazareth, Caroline Free, Rebecca French, Elizabeth Murray
J Med Internet Res 2013;15(12):e278
(Dec 11, 2013)
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10 2.33 13.00 10 75
 
 
58
Standardized, App-Based Disinfection of iPads in a Clinical and Nonclinical Setting: Comparative Analysis
Urs-Vito Albrecht, Ute von Jan, Ludwig Sedlacek, Stephanie Groos, Sebastian Suerbaum, Ralf-Peter Vonberg
J Med Internet Res 2013;15(8):e176
(Aug 14, 2013)
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10 1.67 13.00 19 100
 
 
59
Evaluation of the Educational Value of YouTube Videos About Physical Examination of the Cardiovascular and Respiratory Systems
Samy A Azer, Hala A AlGrain, Rana A AlKhelaif, Sarah M AlEshaiwi
J Med Internet Res 2013;15(11):e241
(Nov 13, 2013)
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5 0.96 11.00 5 50
 
 
60
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 1.50 10.00 5 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.