Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
51
Baby Boomers’ Adoption of Consumer Health Technologies: Survey on Readiness and Barriers
Cynthia LeRouge, Craig Van Slyke, Deborah Seale, Kevin Wright
J Med Internet Res 2014;16(9):e200
(Sep 8, 2014)
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34 45.83 0.00 33 100
 
 
52
The Psychometric Properties of CollaboRATE: A Fast and Frugal Patient-Reported Measure of the Shared Decision-Making Process
Paul James Barr, Rachel Thompson, Thom Walsh, Stuart W Grande, Elissa M Ozanne, Glyn Elwyn
J Med Internet Res 2014;16(1):e2
(Jan 3, 2014)
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34 3.89 4.00 10 65
 
 
53
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
Miguel Angel Luengo-Oroz, Asier Arranz, John Frean
J Med Internet Res 2012;14(6):e167
(Nov 29, 2012)
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34 2.83 24.00 189 100
 
 
54
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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33 37.89 0.00 25 100
 
 
55
The Role of Social Media in Online Weight Management: Systematic Review
Tammy Chang, Vineet Chopra, Catherine Zhang, Susan J Woolford
J Med Internet Res 2013;15(11):e262
(Nov 28, 2013)
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33 3.33 29.00 19 90
 
 
56
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 10.33 0.00 28 100
 
 
57
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 5.87 0.00 23 85
 
 
58
Google Glass for Documentation of Medical Findings: Evaluation in Forensic Medicine
Urs-Vito Albrecht, Ute von Jan, Joachim Kuebler, Christoph Zoeller, Martin Lacher, Oliver J Muensterer, Max Ettinger, Michael Klintschar, Lars Hagemeier
J Med Internet Res 2014;16(2):e53
(Feb 12, 2014)
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32 4.29 0.00 23 80
 
 
59
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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32 2.83 68.00 28 90
 
 
60
Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis
Borja Martínez-Pérez, Isabel de la Torre-Díez, Miguel López-Coronado
J Med Internet Res 2013;15(6):e120
(Jun 14, 2013)
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31 2.58 30.00 106 100
 
 
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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.