Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
321
Considerations for Conducting Web-Based Survey Research With People Living With Human Immunodeficiency Virus Using a Community-Based Participatory Approach
Kelly K O'Brien, Patricia Solomon, Catherine Worthington, Francisco Ibáñez-Carrasco, Larry Baxter, Stephanie A Nixon, Rosalind Baltzer-Turje, Greg Robinson, Elisse Zack, The HIV, Health And Rehabilitation Survey Catalyst Team
J Med Internet Res 2014;16(3):e81
(Mar 13, 2014)
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10 8.86 0.00 4 60
 
 
322
The Influence of Two Different Invitation Letters on Chlamydia Testing Participation: Randomized Controlled Trial
Gill ten Hoor, Christian JPA Hoebe, Jan EAM van Bergen, Elfi EHG Brouwers, Robert AC Ruiter, Gerjo Kok
J Med Internet Res 2014;16(1):e24
(Jan 30, 2014)
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10 4.03 0.00 3 25
 
 
323
Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout
Ruth von Brachel, Katrin Hötzel, Gerrit Hirschfeld, Elizabeth Rieger, Ulrike Schmidt, Joachim Kosfelder, Tanja Hechler, Dietmar Schulte, Silja Vocks
J Med Internet Res 2014;16(3):e92
(Mar 31, 2014)
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10 18.23 0.00 10 75
 
 
324
Using Google AdWords for International Multilingual Recruitment to Health Research Websites
Margaret S Gross, Nancy H Liu, Omar Contreras, Ricardo F Muñoz, Yan Leykin
J Med Internet Res 2014;16(1):e18
(Jan 20, 2014)
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9 3.21 0.00 7 60
 
 
325
Effect of a Kinect-Based Exercise Game on Improving Executive Cognitive Performance in Community-Dwelling Elderly: Case Control Study
Hiroki Kayama, Kazuya Okamoto, Shu Nishiguchi, Minoru Yamada, Tomohiro Kuroda, Tomoki Aoyama
J Med Internet Res 2014;16(2):e61
(Feb 24, 2014)
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9 5.37 0.00 6 55
 
 
326
Who Uses Physician-Rating Websites? Differences in Sociodemographic Variables, Psychographic Variables, and Health Status of Users and Nonusers of Physician-Rating Websites
Ralf Terlutter, Sonja Bidmon, Johanna Röttl
J Med Internet Res 2014;16(3):e97
(Mar 31, 2014)
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9 16.41 0.00 7 60
 
 
327
Routine Real-Time Cost-Effectiveness Monitoring of a Web-Based Depression Intervention: A Risk-Sharing Proposal
Klemen Naveršnik, Aleš Mrhar
J Med Internet Res 2014;16(2):e67
(Feb 27, 2014)
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9 5.69 0.00 5 50
 
 
328
Efficacy of a Web-Based Computer-Tailored Smoking Prevention Intervention for Dutch Adolescents: Randomized Controlled Trial
Sanne de Josselin de Jong, Math Candel, Dewi Segaar, Henricus-Paul Cremers, Hein de Vries
J Med Internet Res 2014;16(3):e82
(Mar 21, 2014)
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9 10.33 0.00 7 80
 
 
329
Smoking Behavior and Use of Tobacco Industry Sponsored Websites Among Medical Students and Young Physicians in Argentina
M Victoria Salgado, Raul Mejia, Celia P Kaplan, Eliseo J Perez-Stable
J Med Internet Res 2014;16(2):e35
(Feb 6, 2014)
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9 3.99 0.00 3 15
 
 
330
Online Activity and Participation in Treatment Affects the Perceived Efficacy of Social Health Networks Among Patients With Chronic Illness
Racheli Magnezi, Yoav S Bergman, Dafna Grosberg
J Med Internet Res 2014;16(1):e12
(Jan 10, 2014)
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9 2.88 0.00 6 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.