Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
51
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
 
 
52
Health Outcomes in Patients Using No-Prescription Online Pharmacies to Purchase Prescription Drugs
Theodore J Cicero, Matthew Stephen Ellis
J Med Internet Res 2012;14(6):e174
(Dec 6, 2012)
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1 1.00 6.00 7 40
 
 
53
A Smartphone-Based Intervention With Diaries and Therapist-Feedback to Reduce Catastrophizing and Increase Functioning in Women With Chronic Widespread Pain: Randomized Controlled Trial
Ólöf Birna Kristjánsdóttir, Egil A. Fors, Erlend Eide, Arnstein Finset, Tonje Lauritzen Stensrud, Sandra van Dulmen, Sigrid Hørven Wigers, Hilde Eide
J Med Internet Res 2013;15(1):e5
(Jan 7, 2013)
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1 1.00 6.00 22 85
 
 
54
The Personal Health Record Paradox: Health Care Professionals’ Perspectives and the Information Ecology of Personal Health Record Systems in Organizational and Clinical Settings
Kim M. Nazi
J Med Internet Res 2013;15(4):e70
(Apr 4, 2013)
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1 1.00 8.00 23 80
 
 
55
Physicians Interrupted by Mobile Devices in Hospitals: Understanding the Interaction Between Devices, Roles, and Duties
Terje Solvoll, Jeremiah Scholl, Gunnar Hartvigsen
J Med Internet Res 2013;15(3):e56
(Mar 7, 2013)
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1 1.00 8.00 25 80
 
 
56
Potential Benefits and Harms of a Peer Support Social Network Service on the Internet for People With Depressive Tendencies: Qualitative Content Analysis and Social Network Analysis
Yoshimitsu Takahashi, Chiyoko Uchida, Koichi Miyaki, Michi Sakai, Takuro Shimbo, Takeo Nakayama
J Med Internet Res 2009;11(3):e29
(Jul 23, 2009)
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1 1.00 0.00 9 80
 
 
57
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
 
 
58
Building a Transnational Biosurveillance Network Using Semantic Web Technologies: Requirements, Design, and Preliminary Evaluation
Douglas Teodoro, Emilie Pasche, Julien Gobeill, Stéphane Emonet, Patrick Ruch, Christian Lovis
J Med Internet Res 2012;14(3):e73
(May 29, 2012)
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1 1.00 0.00 11 20
 
 
59
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
 
 
60
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
 
 
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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.