Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
541
Response Rate and Completeness of Questionnaires: A Randomized Study of Internet Versus Paper-and-Pencil Versions
Sissel Marie Kongsved, Maja Basnov, Kurt Holm-Christensen, Niels Henrik Hjollund
J Med Internet Res 2007;9(3):e25
(Sep 30, 2007)
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4 0.06 0.00 0 0
 
 
542
Adding an Online Community to an Internet-Mediated Walking Program. Part 2: Strategies for Encouraging Community Participation
Paul J Resnick, Adrienne W Janney, Lorraine R Buis, Caroline R Richardson
J Med Internet Res 2010;12(4):e72
(Dec 17, 2010)
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4 0.14 0.00 2 5
 
 
543
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
 
 
544
Nationwide Implementation of Hello World: A Dutch Email-Based Health Promotion Program for Pregnant Women
Mariska Bot, Ivon EJ Milder, Wanda JE Bemelmans
J Med Internet Res 2009;11(3):e24
(Jul 30, 2009)
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3 0.07 26.00 1 5
 
 
545
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
 
 
546
Text Mining and Natural Language Processing Approaches for Automatic Categorization of Lay Requests to Web-Based Expert Forums
Wolfgang Himmel, Ulrich Reincke, Hans Wilhelm Michelmann
J Med Internet Res 2009;11(3):e25
(Jul 22, 2009)
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3 0.07 17.00 3 35
 
 
547
Reasons for Consulting a Doctor on the Internet: Web Survey of Users of an Ask the Doctor Service
Göran Umefjord, Göran Petersson, Katarina Hamberg
J Med Internet Res 2003;5(4):e26
(Oct 22, 2003)
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3 0.05 16.00 0 0
 
 
548
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
 
 
549
Age-Sensitive Design of Online Health Information: Comparative Usability Study
Richard Pak, Margaux Price, Jason Thatcher
J Med Internet Res 2009;11(4):e45
(Nov 16, 2009)
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3 0.07 14.00 1 5
 
 
550
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
 
 
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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