Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
301
Keywords to Recruit Spanish- and English-Speaking Participants: Evidence From an Online Postpartum Depression Randomized Controlled Trial
Alinne Z Barrera, Alex R Kelman, Ricardo F Muñoz
J Med Internet Res 2014;16(1):e6
(Jan 9, 2014)
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5 0.60 0.00 5 45
 
 
302
Communications Between Volunteers and Health Researchers during Recruitment and Informed Consent: Qualitative Content Analysis of Email Interactions
Anne Townsend, Zubin Amarsi, Catherine Backman, Susan M Cox, Linda C Li
J Med Internet Res 2011;13(4):e84
(Oct 13, 2011)
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5 0.42 0.00 2 0
 
 
303
Quit Now? Quit Soon? Quit When You’re Ready? Insights About Target Quit Dates for Smoking Cessation From an Online Quit Date Tool
Caroline O Cobb, Raymond S Niaura, Elisabeth A Donaldson, Amanda L Graham
J Med Internet Res 2014;16(2):e55
(Feb 17, 2014)
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5 0.71 0.00 5 55
 
 
304
Interactive Sections of an Internet-Based Intervention Increase Empowerment of Chronic Back Pain Patients: Randomized Controlled Trial
Silvia Riva, Anne-Linda Camerini, Ahmed Allam, Peter J Schulz
J Med Internet Res 2014;16(8):e180
(Aug 13, 2014)
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5 3.78 0.00 5 55
 
 
305
Evaluating a Web-Based Clinical Decision Support System for Language Disorders Screening in a Nursery School
María Luisa Martín Ruiz, Miguel Ángel Valero Duboy, Carmen Torcal Loriente, Iván Pau de la Cruz
J Med Internet Res 2014;16(5):e139
(May 28, 2014)
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5 1.31 0.00 5 35
 
 
306
Patients’ Ratings of Family Physician Practices on the Internet: Usage and Associations With Conventional Measures of Quality in the English National Health Service
Felix Greaves, Utz J Pape, Henry Lee, Dianna M Smith, Ara Darzi, Azeem Majeed, Christopher Millett
J Med Internet Res 2012;14(5):e146
(Oct 17, 2012)
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5 0.42 0.00 42 95
 
 
307
Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment
Rebecca Schnall, Anastasia Okoniewski, Victoria Tiase, Alexander Low, Martha Rodriguez, Steven Kaplan
J Med Internet Res 2013;15(3):e54
(Mar 6, 2013)
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5 0.42 0.00 18 75
 
 
308
Employing Computers for the Recruitment into Clinical Trials: A Comprehensive Systematic Review
Felix Köpcke, Hans-Ulrich Prokosch
J Med Internet Res 2014;16(7):e161
(Jul 1, 2014)
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5 1.85 0.00 4 45
 
 
309
Patient and Public Views on Electronic Health Records and Their Uses in the United Kingdom: Cross-Sectional Survey
Serena A Luchenski, Julie E Reed, Cicely Marston, Chrysanthi Papoutsi, Azeem Majeed, Derek Bell
J Med Internet Res 2013;15(8):e160
(Aug 23, 2013)
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5 0.42 0.00 28 85
 
 
310
Assessment of the Cost-Effectiveness and Clinical Outcomes of a Fourth-Generation Synchronous Telehealth Program for the Management of Chronic Cardiovascular Disease
Yi-Lwun Ho, Jiun-Yu Yu, Yen-Hung Lin, Ying-Hsien Chen, Ching-Chang Huang, Tse-Pin Hsu, Pao-Yu Chuang, Chi-Sheng Hung, Ming-Fong Chen
J Med Internet Res 2014;16(6):e145
(Jun 10, 2014)
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5 1.48 0.00 5 45
 
 
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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.