Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
551
Using the Internet for Health-Related Activities: Findings From a National Probability Sample
Nancy Atkinson, Sandra Saperstein, John Pleis
J Med Internet Res 2009;11(1):e4
(Feb 20, 2009)
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7 0.14 26.00 0 0
 
 
552
The Law of Attrition
Gunther Eysenbach
J Med Internet Res 2005;7(1):e11
(Mar 31, 2005)
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7 0.11 40.00 0 0
 
 
553
Self-Reported Differences in Empowerment Between Lurkers and Posters in Online Patient Support Groups
Cornelia van Uden-Kraan, Constance Drossaert, Erik Taal, Erwin Seydel, Mart van de Laar
J Med Internet Res 2008;10(2):e18
(Jun 30, 2008)
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6 0.10 15.00 0 0
 
 
554
Feasibility of a Mobile Phone–Based Data Service for Functional Insulin Treatment of Type 1 Diabetes Mellitus Patients
Alexander Kollmann, Michaela Riedl, Peter Kastner, Guenter Schreier, Bernhard Ludvik
J Med Internet Res 2007;9(5):e36
(Dec 31, 2007)
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6 0.09 16.00 0 0
 
 
555
Effectiveness of a Web-Based Self-Help Intervention for Symptoms of Depression, Anxiety, and Stress: Randomized Controlled Trial
Annemieke van Straten, Pim Cuijpers, Niels Smits
J Med Internet Res 2008;10(1):e7
(Mar 25, 2008)
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6 0.10 20.00 0 0
 
 
556
e-Health Code of Ethics (May 24)
Helga Rippen, Ahmad Risk
J Med Internet Res 2000;2(2):e9
(May 24, 2000)
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6 0.09 10.00 0 0
 
 
557
Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)
Gunther Eysenbach
J Med Internet Res 2004;6(3):e34
(Sep 29, 2004)
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5 0.08 10.00 0 0
 
 
558
Assessment of Pictographs Developed Through a Participatory Design Process Using an Online Survey Tool
Hyeoneui Kim, Carlos Nakamura, Qing Zeng
J Med Internet Res 2009;11(1):e5
(Feb 24, 2009)
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5 0.10 37.00 0 0
 
 
559
Impact of Web Searching and Social Feedback on Consumer Decision Making: A Prospective Online Experiment
Annie Lau, Enrico Coiera
J Med Internet Res 2008;10(1):e2
(Jan 22, 2008)
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5 0.08 2.00 0 0
 
 
560
What Is eHealth (4): A Scoping Exercise to Map the Field
Claudia Pagliari, David Sloan, Peter Gregor, Frank Sullivan, Don Detmer, James P Kahan, Wija Oortwijn, Steve MacGillivray
J Med Internet Res 2005;7(1):e9
(Mar 31, 2005)
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5 0.08 19.00 0 0
 
 
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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