Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
401
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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2 0.17 0.00 20 85
 
 
402
Smartphone Versus Pen-and-Paper Data Collection of Infant Feeding Practices in Rural China
Shuyi Zhang, Qiong Wu, Michelle HMMT van Velthoven, Li Chen, Josip Car, Igor Rudan, Yanfeng Zhang, Ye Li, Robert W Scherpbier
J Med Internet Res 2012;14(5):e119
(Sep 18, 2012)
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2 0.17 0.00 15 60
 
 
403
Developing Health Promotion Interventions on Social Networking Sites: Recommendations from The FaceSpace Project
Judy Gold, Alisa E Pedrana, Mark A Stoove, Shanton Chang, Steve Howard, Jason Asselin, Olivia Ilic, Colin Batrouney, Margaret E Hellard
J Med Internet Res 2012;14(1):e30
(Feb 28, 2012)
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2 0.17 0.00 47 100
 
 
404
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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2 0.17 0.00 22 80
 
 
405
Security Analysis and Improvements to the PsychoPass Method
Bostjan Brumen, Marjan Heričko, Ivan Rozman, Marko Hölbl
J Med Internet Res 2013;15(8):e161
(Aug 13, 2013)
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2 0.17 0.00 2 40
 
 
406
Physician Response Time When Communicating With Patients Over the Internet
Per Egil Kummervold, Jan-Are K Johnsen
J Med Internet Res 2011;13(4):e79
(Nov 1, 2011)
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2 0.17 0.00 27 90
 
 
407
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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2 0.17 0.00 33 95
 
 
408
Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study
Joseph A Cafazzo, Mark Casselman, Nathaniel Hamming, Debra K Katzman, Mark R Palmert
J Med Internet Res 2012;14(3):e70
(May 8, 2012)
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2 0.17 0.00 47 90
 
 
409
Two New Meal- and Web-Based Interactive Food Frequency Questionnaires: Validation of Energy and Macronutrient Intake
Sara E Christensen, Elisabeth Möller, Stephanie E Bonn, Alexander Ploner, Antony Wright, Arvid Sjölander, Olle Bälter, Lauren Lissner, Katarina Bälter
J Med Internet Res 2013;15(6):e109
(Jun 5, 2013)
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1 0.08 8.00 1 10
 
 
410
The Digital Divide Among Low-Income Homebound Older Adults: Internet Use Patterns, eHealth Literacy, and Attitudes Toward Computer/Internet Use
Namkee G. Choi, Diana M DiNitto
J Med Internet Res 2013;15(5):e93
(May 2, 2013)
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1 0.08 8.00 14 65
 
 
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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.