Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
31
"Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information
Scott H. Burton, Kesler W. Tanner, Christophe G. Giraud-Carrier, Joshua H. West, Michael D. Barnes
J Med Internet Res 2012;14(6):e156
(Nov 15, 2012)
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52 7.50 98.00 32 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 12.40 129.00 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 9.21 113.00 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 4.24 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 15.67 80.00 44 100
 
 
36
Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment
Erik Black, Jennifer Light, Nicole Paradise Black, Lindsay Thompson
J Med Internet Res 2013;15(5):e94
(May 17, 2013)
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44 42.62 76.00 34 95
 
 
37
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 8.61 109.00 23 100
 
 
38
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 11.92 93.00 14 55
 
 
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 10.99 71.00 27 90
 
 
40
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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38 294.57 80.00 38 95
 
 
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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.