Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
151
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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6 1.00 0.00 4 45
 
 
152
Definition of Health 2.0 and Medicine 2.0: A Systematic Review
Tom H Van De Belt, Lucien JLPG Engelen, Sivera AA Berben, Lisette Schoonhoven
J Med Internet Res 2010;12(2):e18
(Jun 11, 2010)
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6 1.00 0.00 89 100
 
 
153
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 4.19 0.00 5 55
 
 
154
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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5 3.60 0.00 4 55
 
 
155
Long-Term Results of a Web-Based Guided Self-Help Intervention for Employees With Depressive Symptoms: Randomized Controlled Trial
Anna S Geraedts, Annet M Kleiboer, Jos Twisk, Noortje M Wiezer, Willem van Mechelen, Pim Cuijpers
J Med Internet Res 2014;16(7):e168
(Jul 9, 2014)
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5 2.15 0.00 5 50
 
 
156
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 1.94 0.00 4 45
 
 
157
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 1.53 0.00 5 40
 
 
158
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 1.36 0.00 5 35
 
 
159
Can an Internet-Based Health Risk Assessment Highlight Problems of Heart Disease Risk Factor Awareness? A Cross-Sectional Analysis
Justin B Dickerson, Catherine J McNeal, Ginger Tsai, Cathleen M Rivera, Matthew Lee Smith, Robert L Ohsfeldt, Marcia G Ory
J Med Internet Res 2014;16(4):e106
(Apr 18, 2014)
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5 1.01 0.00 5 45
 
 
160
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 0.83 0.00 2 0
 
 
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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.