Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
41
eHealth Literacy: Essential Skills for Consumer Health in a Networked World
Cameron D Norman, Harvey A Skinner
J Med Internet Res 2006;8(2):e9
(Jun 16, 2006)
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2 2.00 7.00 1 100
 
 
42
Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem
Melanie Swan
J Med Internet Res 2012;14(2):e46
(Mar 7, 2012)
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2 2.00 7.00 67 100
 
 
43
Health-Related Effects Reported by Electronic Cigarette Users in Online Forums
My Hua, Mina Alfi, Prue Talbot
J Med Internet Res 2013;15(4):e59
(Apr 8, 2013)
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1 1.00 0.00 15 65
 
 
44
A Text Messaging-Based Smoking Cessation Program for Adult Smokers: Randomized Controlled Trial
Michele Ybarra, A. Tülay Bağcı Bosi, Josephine Korchmaros, Salih Emri
J Med Internet Res 2012;14(6):e172
(Dec 27, 2012)
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1 1.00 0.00 9 60
 
 
45
How Valid are Web-Based Self-Reports of Weight?
Stephanie Erika Bonn, Ylva Trolle Lagerros, Katarina Bälter
J Med Internet Res 2013;15(4):e52
(Apr 9, 2013)
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1 1.00 0.00 7 45
 
 
46
Cost-Effectiveness and Cost-Utility of Internet-Based Computer Tailoring for Smoking Cessation
Eline Suzanne Smit, Silvia MAA Evers, Hein de Vries, Ciska Hoving
J Med Internet Res 2013;15(3):e57
(Mar 14, 2013)
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1 1.00 0.00 5 10
 
 
47
Dental Fear and Anxiety in Children and Adolescents: Qualitative Study Using YouTube
Xiaoli Gao, SH Hamzah, Cynthia Kar Yung Yiu, Colman McGrath, Nigel M King
J Med Internet Res 2013;15(2):e29
(Feb 22, 2013)
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1 1.00 0.00 7 25
 
 
48
Storing and Using Health Data in a Virtual Private Cloud
Nathan Regola, Nitesh V. Chawla
J Med Internet Res 2013;15(3):e63
(Mar 13, 2013)
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1 1.00 0.00 19 75
 
 
49
Prevalence and Characteristics of Smokers Interested in Internet-Based Smoking Cessation Interventions: Cross-sectional Findings From a National Household Survey
Jamie Brown, Susan Michie, Tobias Raupach, Robert West
J Med Internet Res 2013;15(3):e50
(Mar 18, 2013)
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1 1.00 0.00 11 50
 
 
50
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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1 1.00 0.00 20 80
 
 
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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.