Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets
Influence
FactorB		 Twimpact Factor (tw7)C Twindex7D
 
41
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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63 10.79 86.00 20 80
 
 
42
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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60 44.29 86.00 46 90
 
 
43
Social Media and the Empowering of Opponents of Medical Technologies: The Case of Anti-Vaccinationism
Kumanan Wilson, Jennifer Keelan
J Med Internet Res 2013;15(5):e103
(May 28, 2013)
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28 39.45 85.00 21 85
 
 
44
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 4.23 82.00 39 90
 
 
45
Clinicians’ Expectations of Web 2.0 as a Mechanism for Knowledge Transfer of Stroke Best Practices
Isabelle David, Lise Poissant, Annie Rochette
J Med Internet Res 2012;14(5):e121
(Sep 13, 2012)
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33 3.67 82.00 20 70
 
 
46
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 15.50 80.00 44 100
 
 
47
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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46 43.21 76.00 34 95
 
 
48
Health Professionals' Expectations Versus Experiences of Internet-Based Telemonitoring: Survey Among Heart Failure Clinics
Arjen E. de Vries, Martje H.L. van der Wal, Maurice M.W. Nieuwenhuis, Richard M. de Jong, Rene B. van Dijk, Tiny Jaarsma, Hans L. Hillege
J Med Internet Res 2013;15(1):e4
(Jan 10, 2013)
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23 4.46 76.00 22 90
 
 
49
Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial
Sylvia Deidre Kauer, Sophie Caroline Reid, Alexander Hew Dale Crooke, Angela Khor, Stephen John Charles Hearps, Anthony Francis Jorm, Lena Sanci, George Patton
J Med Internet Res 2012;14(3):e67
(Jun 25, 2012)
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36 3.11 72.00 28 75
 
 
50
Are Personal Health Records Safe? A Review of Free Web-Accessible Personal Health Record Privacy Policies
Inmaculada Carrión Señor, José Luis Fernández-Alemán, Ambrosio Toval
J Med Internet Res 2012;14(4):e114
(Aug 23, 2012)
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30 3.10 72.00 25 90
 
 
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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.