Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
21
How Current Are Leading Evidence-Based Medical Textbooks? An Analytic Survey of Four Online Textbooks
Rebecca Jeffery, Tamara Navarro, Cynthia Lokker, R Brian Haynes, Nancy L Wilczynski, George Farjou
J Med Internet Res 2012;14(6):e175
(Dec 10, 2012)
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92 14.93 128.00 26 80
 
 
22
A Survey of Health-Related Activities on Second Life
Leslie Beard, Kumanan Wilson, Dante Morra, Jennifer Keelan
J Med Internet Res 2009;11(2):e17
(May 22, 2009)
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92 1.92 311.00 55 100
 
 
23
Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study
Laura Dennison, Leanne Morrison, Gemma Conway, Lucy Yardley
J Med Internet Res 2013;15(4):e86
(Apr 18, 2013)
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90 45.00 115.00 71 90
 
 
24
Correlates of Health-Related Social Media Use Among Adults
Rosemary Thackeray, Benjamin T. Crookston, Joshua H. West
J Med Internet Res 2013;15(1):e21
(Jan 30, 2013)
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90 19.93 273.00 56 100
 
 
25
Learning in a Virtual World: Experience With Using Second Life for Medical Education
John Wiecha, Robin Heyden, Elliot Sternthal, Mario Merialdi
J Med Internet Res 2010;12(1):e1
(Jan 23, 2010)
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88 2.19 242.00 44 95
 
 
26
Innovation in Weight Loss Programs: A 3-Dimensional Virtual-World Approach
Jeanne D Johnston, Anne P Massey, Celeste A DeVaneaux
J Med Internet Res 2012;14(5):e120
(Sep 20, 2012)
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82 9.35 283.00 82 100
 
 
27
Protected Health Information on Social Networking Sites: Ethical and Legal Considerations
Lindsay A Thompson, Erik Black, W Patrick Duff, Nicole Paradise Black, Heidi Saliba, Kara Dawson
J Med Internet Res 2011;13(1):e8
(Jan 19, 2011)
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81 2.85 160.00 36 100
 
 
28
Using Internet Search Engines to Obtain Medical Information: A Comparative Study
Liupu Wang, Juexin Wang, Michael Wang, Yong Li, Yanchun Liang, Dong Xu
J Med Internet Res 2012;14(3):e74
(May 16, 2012)
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80 6.22 227.00 46 85
 
 
29
Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
J Med Internet Res 2011;13(3):e65
(Sep 22, 2011)
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80 3.90 200.00 43 100
 
 
30
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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79 6.02 112.00 50 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.

 * Tweets Data Collection began January 2008