Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
161
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 5.00 0.00 4 45
 
 
162
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 2.98 0.00 5 40
 
 
163
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 2.38 0.00 5 35
 
 
164
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 1.48 0.00 5 45
 
 
165
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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5 1.21 0.00 5 60
 
 
166
An Innovative Smartphone-Based Otorhinoendoscope and Its Application in Mobile Health and Teleotolaryngology
Cheng-Jung Wu, Sheng-Yu Wu, Po-Chun Chen, Yaoh-Shiang Lin
J Med Internet Res 2014;16(3):e71
(Mar 3, 2014)
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5 1.03 0.00 0 0
 
 
167
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 0.94 0.00 5 55
 
 
168
Increased Use of Twitter at a Medical Conference: A Report and a Review of the Educational Opportunities
Douglas RA McKendrick, Grant P Cumming, Amanda J Lee
J Med Internet Res 2012;14(6):e176
(Dec 11, 2012)
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5 0.83 0.00 105 95
 
 
169
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
 
 
170
Virtual Communities of Practice: Overcoming Barriers of Time and Technology
Kieran Walsh, Stephen Barnett
J Med Internet Res 2014;16(7):e185
(Jul 29, 2014)
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4 41.32 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.