Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets
Influence
FactorB		 Twimpact Factor (tw7)C Twindex7D
 
481
Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study
Amy Joanna Morgan, Anthony Francis Jorm, Andrew James Mackinnon
J Med Internet Res 2013;15(2):e31
(Feb 12, 2013)
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8 2.51 12.00 7 35
 
 
482
Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet
Shawndra Hill, Jun Mao, Lyle Ungar, Sean Hennessy, Charles E. Leonard, John Holmes
J Med Internet Res 2011;13(2):e36
(May 10, 2011)
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8 0.33 12.00 5 10
 
 
483
Matrix Analysis of the Digital Divide in eHealth Services Using Awareness, Want, and Adoption Gap
Te-Hsin Liang
J Med Internet Res 2012;14(1):e11
(Feb 13, 2012)
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8 0.53 12.00 8 20
 
 
484
Correction: Development and Validation of Filters for the Retrieval of Studies of Clinical Examination From Medline
Robert Badgett, Nader Shaikh, Mini Pi, Nancy L Wilczynski, K. Ann McKibbon, Andrea M. Ketchum, R. Brian Haynes
J Med Internet Res 2012;14(4):e108
(Aug 3, 2012)
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7 0.74 12.00 6 35
 
 
485
Human Computation as a New Method for Evidence-Based Knowledge Transfer in Web-Based Guideline Development Groups: Proof of Concept Randomized Controlled Trial
Annemie Heselmans, Bert Aertgeerts, Peter Donceel, Stijn Van de Velde, Peter Vanbrabant, Dirk Ramaekers
J Med Internet Res 2013;15(1):e8
(Jan 17, 2013)
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6 1.49 12.00 6 25
 
 
486
Effectiveness of a Web-Based Brief Alcohol Intervention and Added Value of Normative Feedback in Reducing Underage Drinking: A Randomized Controlled Trial
Renske Spijkerman, Marion A.E. Roek, Ad Vermulst, Lex Lemmers, Annemarie Huiberts, Rutger C.M.E. Engels
J Med Internet Res 2010;12(5):e65
(Dec 19, 2010)
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5 0.18 12.00 3 35
 
 
487
The Internet and Clinical Trials: Background, Online Resources, Examples and Issues
James Paul, Rachael Seib, Todd Prescott
J Med Internet Res 2005;7(1):e5
(Mar 16, 2005)
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4 0.06 12.00 0 0
 
 
488
WikiBuild: A New Application to Support Patient and Health Care Professional Involvement in the Development of Patient Support Tools
Patrick Michel Archambault
J Med Internet Res 2011;13(4):e114
(Dec 8, 2011)
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21 1.23 11.00 14 70
 
 
489
A Comparison of Physician Pre-Adoption and Adoption Views on Electronic Health Records in Canadian Medical Practices
Norm Archer, Mihail Cocosila
J Med Internet Res 2011;13(3):e57
(Aug 12, 2011)
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12 0.57 11.00 11 60
 
 
490
Real-time Prescription Surveillance and its Application to Monitoring Seasonal Influenza Activity in Japan
Tamie Sugawara, Yasushi Ohkusa, Yoko Ibuka, Hirokazu Kawanohara, Kiyosu Taniguchi, Nobuhiko Okabe
J Med Internet Res 2012;14(1):e14
(Jan 16, 2012)
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12 0.76 11.00 10 30
 
 
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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