Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
561
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
 
 
562
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
 
 
563
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
 
 
564
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
 
 
565
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
 
 
566
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
 
 
567
Generic Design of Web-Based Clinical Databases
Jacob Anhøj
J Med Internet Res 2003;5(4):e27
(Nov 4, 2003)
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3 0.05 10.00 0 0
 
 
568
Missing Data Approaches in eHealth Research: Simulation Study and a Tutorial for Nonmathematically Inclined Researchers
Matthijs Blankers, Maarten W J Koeter, Gerard M Schippers
J Med Internet Res 2010;12(5):e54
(Dec 19, 2010)
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3 0.10 10.00 1 5
 
 
569
A Website to Improve Asthma Care by Suggesting Patient Questions for Physicians: Qualitative Analysis of User Experiences
Christine W Hartmann, Christopher N Sciamanna, Danielle C Blanch, Sarah Mui, Heather Lawless, Michael Manocchia, Rochelle K Rosen, Anthony Pietropaoli
J Med Internet Res 2007;9(1):e3
(Feb 7, 2007)
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3 0.05 10.00 0 0
 
 
570
Content and Functionality of Alcohol and Other Drug Websites: Results of an Online Survey
Britt Klein, Angela White, David Kavanagh, Kerrie Shandley, Frances Kay-Lambkin, Judith Proudfoot, Judy Drennan, Jason Connor, Amanda Baker, Ross Young
J Med Internet Res 2010;12(5):e51
(Dec 19, 2010)
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3 0.10 10.00 2 10
 
 
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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