Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
51
Reducing Suicidal Ideation: Cost-Effectiveness Analysis of a Randomized Controlled Trial of Unguided Web-Based Self-help
Bregje A.J. van Spijker, M. Cristina Majo, Filip Smit, Annemieke van Straten, Ad J.F.M. Kerkhof
J Med Internet Res 2012;14(5):e141
(Oct 26, 2012)
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1 1.00 0.00 9 35
 
 
52
Norwegian General Practitioners’ Perspectives on Implementation of a Guided Web-Based Cognitive Behavioral Therapy for Depression: A Qualitative Study
Maja Wilhelmsen, Ragnhild Sørensen Høifødt, Nils Kolstrup, Knut Waterloo, Martin Eisemann, Richard Chenhall, Mette Bech Risør
J Med Internet Res 2014;16(9):e208
(Sep 10, 2014)
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8 31.00 0.00 8 50
 
 
53
How an Online Intervention to Prevent Excessive Gestational Weight Gain Is Used and by Whom: A Randomized Controlled Process Evaluation
Margaret Mochon Demment, Meredith Leigh Graham, Christine Marie Olson
J Med Internet Res 2014;16(8):e194
(Aug 20, 2014)
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7 7.48 0.00 5 70
 
 
54
Exploring the Value of Technology to Stimulate Interprofessional Discussion and Education: A Needs Assessment of Emergency Medicine Professionals
Jennifer Riley, Melissa McGowan, Linda Rozmovits
J Med Internet Res 2014;16(6):e162
(Jun 30, 2014)
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6 6.00 0.00 5 55
 
 
55
Confirmation Bias in Web-Based Search: A Randomized Online Study on the Effects of Expert Information and Social Tags on Information Search and Evaluation
Stefan Schweiger, Aileen Oeberst, Ulrike Cress
J Med Internet Res 2014;16(3):e94
(Mar 26, 2014)
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2 2.00 0.00 5 60
 
 
56
On Supplementing “Foot in the Door” Incentives for eHealth Program Engagement
Marc Steven Mitchell, Guy E Faulkner
J Med Internet Res 2014;16(7):e179
(Jul 25, 2014)
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1 1.00 0.00 5 55
 
 
57
The Effectiveness of Electronic Screening and Brief Intervention for Reducing Levels of Alcohol Consumption: A Systematic Review and Meta-Analysis
Kim Donoghue, Robert Patton, Thomas Phillips, Paolo Deluca, Colin Drummond
J Med Internet Res 2014;16(6):e142
(Jun 2, 2014)
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1 1.00 0.00 5 30
 
 
58
The Management of Acute Adverse Effects of Breast Cancer Treatment in General Practice: A Video-Vignette Study
Moyez Jiwa, Anne Long, Tim Shaw, Georgina Pagey, Georgia Halkett, Vinita Pillai, Xingqiong Meng
J Med Internet Res 2014;16(9):e204
(Sep 3, 2014)
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4 8.27 0.00 4 55
 
 
59
Designing Messaging to Engage Patients in an Online Suicide Prevention Intervention: Survey Results From Patients With Current Suicidal Ideation
Ursula Whiteside, Anita Lungu, Julie Richards, Gregory E Simon, Sarah Clingan, Jaeden Siler, Lorilei Snyder, Evette Ludman
J Med Internet Res 2014;16(2):e42
(Feb 7, 2014)
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3 3.00 0.00 4 45
 
 
60
Motives for Participating in a Web-Based Nutrition Cohort According to Sociodemographic, Lifestyle, and Health Characteristics: The NutriNet-Santé Cohort Study
Caroline Méjean, Fabien Szabo de Edelenyi, Mathilde Touvier, Emmanuelle Kesse-Guyot, Chantal Julia, Valentina A Andreeva, Serge Hercberg
J Med Internet Res 2014;16(8):e189
(Aug 7, 2014)
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1 1.00 0.00 4 55
 
 
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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.