Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
181
Do Email and Mobile Phone Prompts Stimulate Primary School Children to Reuse an Internet-Delivered Smoking Prevention Intervention?
Henricus-Paul Cremers, Liesbeth Mercken, Rik Crutzen, Paul Willems, Hein de Vries, Anke Oenema
J Med Internet Res 2014;16(3):e86
(Mar 18, 2014)
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4 0.92 0.00 4 55
 
 
182
Exploring Design Requirements for Repurposing Dental Virtual Patients From the Web to Second Life: A Focus Group Study
Panagiotis E Antoniou, Christina A Athanasopoulou, Eleni Dafli, Panagiotis D Bamidis
J Med Internet Res 2014;16(6):e151
(Jun 13, 2014)
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4 2.58 0.00 4 40
 
 
183
Validation and Reliability of a Smartphone Application for the International Prostate Symptom Score Questionnaire: A Randomized Repeated Measures Crossover Study
Jae Heon Kim, Soon-Sun Kwon, Sung Ryul Shim, Hwa Yeon Sun, Young Myoung Ko, Dong-Il Chun, Won Jae Yang, Yun Seob Song
J Med Internet Res 2014;16(2):e38
(Feb 10, 2014)
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4 0.73 0.00 4 45
 
 
184
Common Cold Symptoms in Children: Results of an Internet-Based Surveillance Program
Emanuel Troullos, Lisa Baird, Shyamalie Jayawardena
J Med Internet Res 2014;16(6):e144
(Jun 19, 2014)
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4 2.95 0.00 4 35
 
 
185
Broad Reach and Targeted Recruitment Using Facebook for an Online Survey of Young Adult Substance Use
Danielle E. Ramo, Judith J. Prochaska
J Med Internet Res 2012;14(1):e28
(Feb 23, 2012)
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4 0.67 0.00 10 35
 
 
186
Use of Twitter Among Local Health Departments: An Analysis of Information Sharing, Engagement, and Action
Brad L Neiger, Rosemary Thackeray, Scott H Burton, Callie R Thackeray, Jennifer H Reese
J Med Internet Res 2013;15(8):e177
(Aug 19, 2013)
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4 0.67 0.00 40 95
 
 
187
In the Words of the Medical Tourist: An Analysis of Internet Narratives by Health Travelers to Turkey
Margaret E Ozan-Rafferty, James A Johnson, Gulzar H Shah, Attila Kursun
J Med Internet Res 2014;16(2):e43
(Feb 6, 2014)
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3 0.53 0.00 3 20
 
 
188
Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews
Leonie FM Kohl, Rik Crutzen, Nanne K de Vries
J Med Internet Res 2013;15(7):e146
(Jul 16, 2013)
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3 0.50 0.00 16 85
 
 
189
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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3 0.50 0.00 28 85
 
 
190
Perceptions of Successful Cues to Action and Opportunities to Augment Behavioral Triggers in Diabetes Self-Management: Qualitative Analysis of a Mobile Intervention for Low-Income Latinos With Diabetes
Elizabeth R Burner, Michael D Menchine, Katrina Kubicek, Marisela Robles, Sanjay Arora
J Med Internet Res 2014;16(1):e25
(Jan 29, 2014)
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3 0.50 0.00 4 30
 
 
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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.