Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study
Laura Dennison, Leanne Morrison, Gemma Conway, Lucy Yardley
J Med Internet Res 2013;15(4):e86
(Apr 18, 2013)
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33 5.50 0.00 97 95
 
 
22
Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle
Patricia Cavazos-Rehg, Melissa Krauss, Richard Grucza, Laura Bierut
J Med Internet Res 2014;16(6):e157
(Jun 27, 2014)
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32 12.40 0.00 28 100
 
 
23
Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study
Elina Helander, Kirsikka Kaipainen, Ilkka Korhonen, Brian Wansink
J Med Internet Res 2014;16(4):e109
(Apr 15, 2014)
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32 6.48 0.00 23 85
 
 
24
Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
Elizabeth J Lyons, Zakkoyya H Lewis, Brian G Mayrsohn, Jennifer L Rowland
J Med Internet Res 2014;16(8):e192
(Aug 15, 2014)
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31 31.00 0.00 17 85
 
 
25
Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Ă…rsand, Gunnar Hartvigsen
J Med Internet Res 2011;13(3):e65
(Sep 22, 2011)
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30 5.00 0.00 56 100
 
 
26
mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use
Thomas Lorchan Lewis, Jeremy C Wyatt
J Med Internet Res 2014;16(9):e210
(Sep 15, 2014)
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30 0.00 0.00 30 95
 
 
27
A Medical Consultation Service on Facebook: Descriptive Analysis of Questions Answered
Otto Helve
J Med Internet Res 2014;16(9):e202
(Sep 4, 2014)
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29 81.74 0.00 25 100
 
 
28
Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis
Atul Nakhasi, Album Xiaotian Shen, Ralph Joseph Passarella, Lawrence J Appel, Cheryl AM Anderson
J Med Internet Res 2014;16(6):e153
(Jun 16, 2014)
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28 9.54 0.00 18 95
 
 
29
Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey
Louisa Edwards, Clare Thomas, Alison Gregory, Lucy Yardley, Alicia O'Cathain, Alan A Montgomery, Chris Salisbury
J Med Internet Res 2014;16(5):e123
(May 8, 2014)
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27 6.44 0.00 14 80
 
 
30
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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26 4.33 0.00 142 100
 
 
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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.