Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets
Influence
FactorB		 Twimpact Factor (tw7)C Twindex7D
 
21
Storing and Using Health Data in a Virtual Private Cloud
Nathan Regola, Nitesh V. Chawla
J Med Internet Res 2013;15(3):e63
(Mar 13, 2013)
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31 14.34 99.00 19 75
 
 
22
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 16.76 93.00 14 55
 
 
23
The Personal Health Record Paradox: Health Care Professionals’ Perspectives and the Information Ecology of Personal Health Record Systems in Organizational and Clinical Settings
Kim M. Nazi
J Med Internet Res 2013;15(4):e70
(Apr 4, 2013)
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29 19.98 93.00 23 80
 
 
24
Development and Testing of a Multidimensional iPhone Pain Assessment Application for Adolescents with Cancer
Jennifer N Stinson, Lindsay A Jibb, Cynthia Nguyen, Paul C Nathan, Anne Marie Maloney, L Lee Dupuis, J Ted Gerstle, Benjamin Alman, Sevan Hopyan, Caron Strahlendorf, Carol Portwine, Donna L Johnston, Mike Orr
J Med Internet Res 2013;15(3):e51
(Mar 8, 2013)
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34 14.64 90.00 26 80
 
 
25
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 23.38 80.00 44 100
 
 
26
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 5.53 76.00 22 90
 
 
27
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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46 129.65 73.00 46 90
 
 
28
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 15.11 71.00 27 90
 
 
29
Physicians Interrupted by Mobile Devices in Hospitals: Understanding the Interaction Between Devices, Roles, and Duties
Terje Solvoll, Jeremiah Scholl, Gunnar Hartvigsen
J Med Internet Res 2013;15(3):e56
(Mar 7, 2013)
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29 12.32 66.00 25 80
 
 
30
A Systematic Review of Web-Based Interventions for Patient Empowerment and Physical Activity in Chronic Diseases: Relevance for Cancer Survivors
Wilma Kuijpers, Wim G Groen, Neil K Aaronson, Wim H van Harten
J Med Internet Res 2013;15(2):e37
(Feb 20, 2013)
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36 12.68 62.00 26 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.