Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
461
eHEALS: The eHealth Literacy Scale
Cameron D Norman, Harvey A Skinner
J Med Internet Res 2006;8(4):e27
(Nov 14, 2006)
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1 0.08 8.00 0 0
 
 
462
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
 
 
463
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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1 0.08 7.00 24 80
 
 
464
Internet-Based Interventions to Promote Mental Health Help-Seeking in Elite Athletes: An Exploratory Randomized Controlled Trial
Amelia Gulliver, Kathleen M Griffiths, Helen Christensen, Andrew Mackinnon, Alison L Calear, Alison Parsons, Kylie Bennett, Philip J Batterham, Rosanna Stanimirovic
J Med Internet Res 2012;14(3):e69
(Jun 29, 2012)
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1 0.08 8.00 8 20
 
 
465
Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception
Bo Liang, Debra L Scammon
J Med Internet Res 2013;15(6):e114
(Jun 17, 2013)
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1 0.08 0.00 25 85
 
 
466
Design of a Website on Nutrition and Physical Activity for Adolescents: Results From Formative Research
Debbe Thompson, Karen Weber Cullen, Carol Boushey, Karen Konzelmann
J Med Internet Res 2012;14(2):e59
(Apr 26, 2012)
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1 0.08 0.00 22 80
 
 
467
Differences in Reach and Attrition Between Web-Based and Print-Delivered Tailored Interventions Among Adults over 50 Years of Age: Clustered Randomized Trial
Denise Astrid Peels, Catherine Bolman, Rianne Henrica Johanna Golsteijn, Hein De Vries, Aart Nicolaas Mudde, Maartje Marieke van Stralen, Lilian Lechner
J Med Internet Res 2012;14(6):e179
(Dec 17, 2012)
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1 0.08 0.00 7 55
 
 
468
Evaluation of an Internet-Based Hearing Test—Comparison with Established Methods for Detection of Hearing Loss
Christin Bexelius, Louise Honeth, Alexandra Ekman, Mikael Eriksson, Sven Sandin, Dan Bagger-Sjöbäck, Jan-Eric Litton
J Med Internet Res 2008;10(4):e32
(Oct 21, 2008)
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1 0.08 0.00 0 0
 
 
469
Use and Acceptance of Electronic Communication by Patients With Multiple Sclerosis: A Multicenter Questionnaire Study
Rocco Haase, Thorsten Schultheiss, Raimar Kempcke, Katja Thomas, Tjalf Ziemssen
J Med Internet Res 2012;14(5):e135
(Oct 15, 2012)
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1 0.08 0.00 19 75
 
 
470
Major Infection Events Over 5 Years: How Is Media Coverage Influencing Online Information Needs of Health Care Professionals and the Public?
Patty Kostkova, David Fowler, Sue Wiseman, Julius R Weinberg
J Med Internet Res 2013;15(7):e107
(Jul 15, 2013)
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1 0.08 0.00 6 60
 
 
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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.