Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
21
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
 
 
22
Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study
Young Ji Lee, Bernadette Boden-Albala, Elaine Larson, Adam Wilcox, Suzanne Bakken
J Med Internet Res 2014;16(7):e176
(Jul 22, 2014)
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6 31.01 0.00 6 60
 
 
23
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
 
 
24
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
 
 
25
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
 
 
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
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
 
 
28
On Supplementing “Foot in the Door” Incentives for eHealth Program Engagement
Marc Steven Mitchell, Guy E Faulkner
J Med Internet Res 2014;16(7):e179
(Jul 25, 2014)
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5 51.65 0.00 5 55
 
 
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
Wikis and Collaborative Writing Applications in Health Care: A Scoping Review
Patrick M Archambault, Tom H van de Belt, Francisco J Grajales III, Marjan J Faber, Craig E Kuziemsky, Susie Gagnon, Andrea Bilodeau, Simon Rioux, Willianne LDM Nelen, Marie-Pierre Gagnon, Alexis F Turgeon, Karine Aubin, Irving Gold, Julien Poitras, Gunther Eysenbach, Jan AM Kremer, France Légaré
J Med Internet Res 2013;15(10):e210
(Oct 8, 2013)
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5 5.00 0.00 75 100
 
 
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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.