Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
31
Expectations of iPad Use in an Internal Medicine Residency Program: Is It Worth the “Hype”?
Nancy Luo, Christopher G. Chapman, Bhakti K. Patel, James N. Woodruff, Vineet M. Arora
J Med Internet Res 2013;15(5):e88
(May 8, 2013)
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50 103.33 79.00 46 90
 
 
32
Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube
Shabbir Syed-Abdul, Luis Fernandez-Luque, Wen-Shan Jian, Yu-Chuan Li, Steven Crain, Min-Huei Hsu, Yao-Chin Wang, Dorjsuren Khandregzen, Enkhzaya Chuluunbaatar, Phung Anh Nguyen, Der-Ming Liou
J Med Internet Res 2013;15(2):e30
(Feb 13, 2013)
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50 15.66 129.00 38 95
 
 
33
Mobile Phone Applications for the Care and Prevention of HIV and Other Sexually Transmitted Diseases: A Review
Kathryn E Muessig, Emily C Pike, Sara LeGrand, Lisa B Hightow-Weidman
J Med Internet Res 2013;15(1):e1
(Jan 4, 2013)
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49 10.93 113.00 21 85
 
 
34
Disseminating Self-Help: Positive Psychology Exercises in an Online Trial
Stephen M. Schueller, Acacia C. Parks
J Med Internet Res 2012;14(3):e63
(Jun 25, 2012)
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49 4.58 82.00 39 90
 
 
35
Using Information Technology and Social Networking for Recruitment of Research Participants: Experience From an Exploratory Study of Pediatric Klinefelter Syndrome
Sharron Close, Arlene Smaldone, Ilene Fennoy, Nancy Reame, Margaret Grey
J Med Internet Res 2013;15(3):e48
(Mar 19, 2013)
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46 21.94 80.00 44 100
 
 
36
Using Crowdsourcing Technology for Testing Multilingual Public Health Promotion Materials
Anne M. Turner, Katrin Kirchhoff, Daniel Capurro
J Med Internet Res 2012;14(3):e79
(Jun 4, 2012)
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43 3.78 130.00 23 65
 
 
37
Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment
Rebecca Schnall, Anastasia Okoniewski, Victoria Tiase, Alexander Low, Martha Rodriguez, Steven Kaplan
J Med Internet Res 2013;15(3):e54
(Mar 6, 2013)
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40 15.90 93.00 14 60
 
 
38
Mobile Health (mHealth) Approaches and Lessons for Increased Performance and Retention of Community Health Workers in Low- and Middle-Income Countries: A Review
Karin Källander, James K Tibenderana, Onome J Akpogheneta, Daniel L Strachan, Zelee Hill, Augustinus H A ten Asbroek, Lesong Conteh, Betty R Kirkwood, Sylvia R Meek
J Med Internet Res 2013;15(1):e17
(Jan 25, 2013)
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40 10.51 109.00 23 100
 
 
39
Impact of Internet Use on Loneliness and Contact with Others Among Older Adults: Cross-Sectional Analysis
Shelia R. Cotten, William A. Anderson, Brandi M. McCullough
J Med Internet Res 2013;15(2):e39
(Feb 28, 2013)
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39 14.39 71.00 27 90
 
 
40
Sensitivity and Predictive Value of 15 PubMed Search Strategies to Answer Clinical Questions Rated Against Full Systematic Reviews
Thomas Agoritsas, Arnaud Merglen, Delphine S Courvoisier, Christophe Combescure, Nicolas Garin, Arnaud Perrier, Thomas V Perneger
J Med Internet Res 2012;14(3):e85
(Jun 12, 2012)
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38 3.41 104.00 30 75
 
 
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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.