Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
51
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 13.16 99.00 19 75
 
 
52
Improving Diabetes Management With a Patient Portal: Qualitative Study of a Diabetes Self-Management Portal
Sara Urowitz, David Wiljer, Kourtney Dupak, Zachary Kuehner, Kevin Leonard, Emily Lovrics, Peter Picton, Emily Seto, Joe Cafazzo
J Med Internet Res 2012;14(6):e158
(Nov 30, 2012)
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31 5.46 42.00 22 70
 
 
53
A Smartphone-Based Intervention With Diaries and Therapist-Feedback to Reduce Catastrophizing and Increase Functioning in Women With Chronic Widespread Pain: Randomized Controlled Trial
Ólöf Birna Kristjánsdóttir, Egil A. Fors, Erlend Eide, Arnstein Finset, Tonje Lauritzen Stensrud, Sandra van Dulmen, Sigrid Hørven Wigers, Hilde Eide
J Med Internet Res 2013;15(1):e5
(Jan 7, 2013)
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30 6.74 47.00 22 85
 
 
54
Effect of a Web-Based Intervention to Promote Physical Activity and Improve Health Among Physically Inactive Adults: A Population-Based Randomized Controlled Trial
Andreas Wolff Hansen, Morten Grønbæk, Jørn Wulff Helge, Maria Severin, Tine Curtis, Janne Schurmann Tolstrup
J Med Internet Res 2012;14(5):e145
(Oct 30, 2012)
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30 4.49 31.00 29 75
 
 
55
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 3.38 72.00 25 90
 
 
56
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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29 112.36 61.00 29 95
 
 
57
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 17.63 93.00 23 80
 
 
58
Using Social Networking to Understand Social Networks: Analysis of a Mobile Phone Closed User Group Used by a Ghanaian Health Team
Nadi Nina Kaonga, Alain Labrique, Patricia Mechael, Eric Akosah, Seth Ohemeng-Dapaah, Joseph Sakyi Baah, Richmond Kodie, Andrew S. Kanter, Orin Levine
J Med Internet Res 2013;15(4):e74
(Apr 3, 2013)
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29 17.29 56.00 25 80
 
 
59
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 11.38 66.00 25 80
 
 
60
Issues in mHealth: Findings From Key Informant Interviews
Robyn Whittaker
J Med Internet Res 2012;14(5):e129
(Oct 2, 2012)
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29 3.83 63.00 23 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.