Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
191
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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4 0.67 0.00 105 95
 
 
192
What Are Young Adults Saying About Mental Health? An Analysis of Internet Blogs
Madalyn A Marcus, Henny A Westra, John D Eastwood, Kirsten L Barnes, Mobilizing Minds Research Group
J Med Internet Res 2012;14(1):e17
(Jan 30, 2012)
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4 0.67 0.00 38 95
 
 
193
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
 
 
194
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 3.44 0.00 4 55
 
 
195
Healthy Weight Regulation and Eating Disorder Prevention in High School Students: A Universal and Targeted Web-Based Intervention
Megan Jones, Katherine Taylor Lynch, Andrea E Kass, Amanda Burrows, Joanne Williams, Denise E Wilfley, C Barr Taylor
J Med Internet Res 2014;16(2):e57
(Feb 27, 2014)
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4 2.25 0.00 4 40
 
 
196
Investigating the Congruence of Crowdsourced Information With Official Government Data: The Case of Pediatric Clinics
Minki Kim, Yuchul Jung, Dain Jung, Cinyoung Hur
J Med Internet Res 2014;16(2):e29
(Feb 3, 2014)
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4 1.57 0.00 4 40
 
 
197
Open Source, Open Standards, and Health Care Information Systems
Carl J Reynolds, Jeremy C Wyatt
J Med Internet Res 2011;13(1):e24
(Feb 17, 2011)
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4 0.67 0.00 8 30
 
 
198
Dental Fear and Anxiety in Children and Adolescents: Qualitative Study Using YouTube
Xiaoli Gao, SH Hamzah, Cynthia Kar Yung Yiu, Colman McGrath, Nigel M King
J Med Internet Res 2013;15(2):e29
(Feb 22, 2013)
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3 0.50 9.00 6 25
 
 
199
Puzzling With Online Games (BAM-COG): Reliability, Validity, and Feasibility of an Online Self-Monitor for Cognitive Performance in Aging Adults
Teun Aalbers, Maria A E Baars, Marcel G M Olde Rikkert, Roy P C Kessels
J Med Internet Res 2013;15(12):e270
(Dec 3, 2013)
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3 0.66 8.00 3 25
 
 
200
Correction: Systematic Reviews and Meta-Analyses of Home Telemonitoring Interventions for Patients With Chronic Diseases: A Critical Assessment of Their Methodological Quality
Spyros Kitsiou, Guy Paré, Mirou Jaana
J Med Internet Res 2013;15(11):e253
(Nov 4, 2013)
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3 0.55 8.00 3 15
 
 
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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.