Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
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 8.16 0.00 5 50
 
 
22
The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions
David C Mohr, Stephen M Schueller, Enid Montague, Michelle Nicole Burns, Parisa Rashidi
J Med Internet Res 2014;16(6):e146
(Jun 5, 2014)
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8 8.00 0.00 35 95
 
 
23
Expectations of iPad Use in an Internal Medicine Residency Program: Is It Worth the “Hype”?
Nancy Luo, Christopher G. Chapman, Bhakti K. Patel, James N. Woodruff, Vineet M. Arora
J Med Internet Res 2013;15(5):e88
(May 8, 2013)
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8 8.00 0.00 44 90
 
 
24
Disordered Eating in a Digital Age: Eating Behaviors, Health, and Quality of Life in Users of Websites With Pro-Eating Disorder Content
Rebecka Peebles, Jenny L Wilson, Iris F Litt, Kristina K Hardy, James D Lock, Julia R Mann, Dina LG Borzekowski
J Med Internet Res 2012;14(5):e148
(Oct 25, 2012)
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7 7.00 0.00 38 90
 
 
25
Usability Testing of an Online Self-management Program for Adolescents With Juvenile Idiopathic Arthritis
Jennifer Stinson, Patrick McGrath, Ellen Hodnett, Brian Feldman, Ciaran Duffy, Adam Huber, Lori Tucker, Ross Hetherington, Shirley Tse, Lynn Spiegel, Sarah Campillo, Navreet Gill, Meghan White
J Med Internet Res 2010;12(3):e30
(Jul 29, 2010)
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6 6.00 0.00 11 30
 
 
26
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 5.74 0.00 4 45
 
 
27
Metadata Correction: How Patients With Schizophrenia Use the Internet: Qualitative Study
Beate Schrank, Ingrid Sibitz, Annemarie Unger, Michaela Amering
J Med Internet Res 2014;16(7):e165
(Jul 10, 2014)
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3 5.17 0.00 3 40
 
 
28
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 5.00 0.00 2 0
 
 
29
New Media Use by Patients Who Are Homeless: The Potential of mHealth to Build Connectivity
Lori Ann Post, Federico E Vaca, Kelly M. Doran, Cali Luco, Matthew Naftilan, James Dziura, Cynthia Brandt, Steven Bernstein, Liudvikas Jagminas, Gail D'Onofrio
J Med Internet Res 2013;15(9):e195
(Sep 3, 2013)
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5 5.00 0.00 58 100
 
 
30
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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5 5.00 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.