Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
161
Electronic Versus Paper-Based Assessment of Health-Related Quality of Life Specific to HIV Disease: Reliability Study of the PROQOL-HIV Questionnaire
Martin Duracinsky, Christophe Lalanne, Cécile Goujard, Susan Herrmann, Christian Cheung-Lung, Jean-Paul Brosseau, Yannick Schwartz, Olivier Chassany
J Med Internet Res 2014;16(4):e115
(Apr 25, 2014)
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4 0.78 0.00 4 35
 
 
162
Adolescents Just Do Not Know What They Want: A Qualitative Study to Describe Obese Adolescents’ Experiences of Text Messaging to Support Behavior Change Maintenance Post Intervention
Kyla L Smith, Deborah A Kerr, Ashley A Fenner, Leon M Straker
J Med Internet Res 2014;16(4):e103
(Apr 8, 2014)
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4 0.70 0.00 4 45
 
 
163
Patients’ Engagement With “Sweet Talk” – A Text Messaging Support System for Young People With Diabetes
Victoria Franklin, Alexandra Greene, Annalu Waller, Stephen Greene, Claudia Pagliari
J Med Internet Res 2008;10(2):e20
(Jun 30, 2008)
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4 0.67 0.00 1 95
 
 
164
Online Access to Doctors' Notes: Patient Concerns About Privacy
Elisabeth Vodicka, Roanne Mejilla, Suzanne G Leveille, James D Ralston, Jonathan D Darer, Tom Delbanco, Jan Walker, Joann G Elmore
J Med Internet Res 2013;15(9):e208
(Sep 26, 2013)
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4 0.67 0.00 32 100
 
 
165
The 1% Rule in Four Digital Health Social Networks: An Observational Study
Trevor van Mierlo
J Med Internet Res 2014;16(2):e33
(Feb 4, 2014)
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4 0.67 0.00 118 100
 
 
166
Are Public Health Organizations Tweeting to the Choir? Understanding Local Health Department Twitter Followership
Jenine K Harris, Bechara Choucair, Ryan C Maier, Nina Jolani, Jay M Bernhardt
J Med Internet Res 2014;16(2):e31
(Feb 26, 2014)
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4 0.67 0.00 25 95
 
 
167
Caught in the Web: A Review of Web-Based Suicide Prevention
Mee Huong Lai, Thambu Maniam, Lai Fong Chan, Arun V Ravindran
J Med Internet Res 2014;16(1):e30
(Jan 28, 2014)
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4 0.67 0.00 4 25
 
 
168
Do Online Mental Health Services Improve Help-Seeking for Young People? A Systematic Review
Sylvia Deidre Kauer, Cheryl Mangan, Lena Sanci
J Med Internet Res 2014;16(3):e66
(Mar 4, 2014)
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4 0.67 0.00 23 95
 
 
169
Preparing Facilitators From Community-Based Organizations for Evidence-Based Intervention Training in Second Life
Angel Felix Valladares, Michelle Aebersold, Dana Tschannen, Antonia Maria Villarruel
J Med Internet Res 2014;16(9):e220
(Sep 30, 2014)
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3 92.88 0.00 3 50
 
 
170
Short-Term Effectiveness of Web-Based Guided Self-Help for Phobic Outpatients: Randomized Controlled Trial
Robin N Kok, Annemieke van Straten, Aartjan T F Beekman, Pim Cuijpers
J Med Internet Res 2014;16(9):e226
(Sep 29, 2014)
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3 46.51 0.00 3 50
 
 
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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.