Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
551
A Virtual Clinic for Diabetes Self-Management: Pilot Study
Amy Jennings, John Powell, Natalie Armstrong, Jackie Sturt, Jeremy Dale
J Med Internet Res 2009;11(1):e10
(Mar 30, 2009)
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3 0.06 9.00 3 85
 
 
552
Predicting Successful Treatment Outcome of Web-Based Self-help for Problem Drinkers: Secondary Analysis From a Randomized Controlled Trial
Heleen Riper, Jeannet Kramer, Max Keuken, Filip Smit, Gerard Schippers, Pim Cuijpers
J Med Internet Res 2008;10(4):e46
(Nov 22, 2008)
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3 0.06 13.00 0 0
 
 
553
The Role of Engagement in a Tailored Web-Based Smoking Cessation Program: Randomized Controlled Trial
Victor Strecher, Jennifer McClure, Gwen Alexander, Bibhas Chakraborty, Vijay Nair, Janine Konkel, Sarah Greene, Mick Couper, Carola Carlier, Cheryl Wiese, Roderick Little, Cynthia Pomerleau, Ovide Pomerleau
J Med Internet Res 2008;10(5):e36
(Nov 4, 2008)
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3 0.06 14.00 0 0
 
 
554
Design and Implementation of an Interactive Website to Support Long-Term Maintenance of Weight Loss
Victor Stevens, Kristine Funk, Phillip Brantley, Thomas Erlinger, Valerie Myers, Catherine Champagne, Alan Bauck, Carmen Samuel-Hodge, Jack Hollis
J Med Internet Res 2008;10(1):e1
(Jan 25, 2008)
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3 0.05 11.00 0 0
 
 
555
The Open Access Advantage
Gunther Eysenbach
J Med Internet Res 2006;8(2):e8
(May 15, 2006)
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3 0.05 0.00 0 0
 
 
556
Do the Leading Children's Hospitals have Quality Web Sites? A Description of Children's Hospital Web Sites
Terry Kind, Kathryn L Wheeler, Byanqa Robinson, Michael D Cabana
J Med Internet Res 2004;6(2):e20
(Jun 25, 2004)
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3 0.05 14.00 0 0
 
 
557
Design and Evaluation in eHealth: Challenges and Implications for an Interdisciplinary Field
Claudia Pagliari
J Med Internet Res 2007;9(2):e15
(May 27, 2007)
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3 0.05 19.00 0 0
 
 
558
Where Are They Now? A Case Study of Health-related Web Site Attrition
Michael A Veronin
J Med Internet Res 2002;4(2):e10
(Nov 22, 2002)
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3 0.05 0.00 0 0
 
 
559
Use of the Internet by Patients Before and After Cardiac Surgery: An Interdisciplinary Telephone Survey
Monica Murero, Giuseppe D'Ancona, Hratch Karamanoukian
J Med Internet Res 2001;3(3):e27
(Sep 30, 2001)
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3 0.05 29.00 0 0
 
 
560
Age-Specific Search Strategies for Medline
Monika Kastner, Nancy L Wilczynski, Cindy Walker-Dilks, Kathleen Ann McKibbon, Brian Haynes
J Med Internet Res 2006;8(4):e25
(Oct 25, 2006)
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3 0.05 7.00 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