Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
161
Understanding Messaging Preferences to Inform Development of Mobile Goal-Directed Behavioral Interventions
Frederick Muench, Katherine van Stolk-Cooke, Jon Morgenstern, Alexis N Kuerbis, Kendra Markle
J Med Internet Res 2014;16(2):e14
(Feb 5, 2014)
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5 0.83 0.00 9 80
 
 
162
Transparency of Health-Apps for Trust and Decision Making
Urs-Vito Albrecht
J Med Internet Res 2013;15(12):e277
(Dec 30, 2013)
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5 0.83 0.00 38 95
 
 
163
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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5 0.83 0.00 23 95
 
 
164
The Management of Acute Adverse Effects of Breast Cancer Treatment in General Practice: A Video-Vignette Study
Moyez Jiwa, Anne Long, Tim Shaw, Georgina Pagey, Georgia Halkett, Vinita Pillai, Xingqiong Meng
J Med Internet Res 2014;16(9):e204
(Sep 3, 2014)
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4 7.29 0.00 4 55
 
 
165
Common Cold Symptoms in Children: Results of an Internet-Based Surveillance Program
Emanuel Troullos, Lisa Baird, Shyamalie Jayawardena
J Med Internet Res 2014;16(6):e144
(Jun 19, 2014)
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4 1.33 0.00 4 35
 
 
166
Exploring Design Requirements for Repurposing Dental Virtual Patients From the Web to Second Life: A Focus Group Study
Panagiotis E Antoniou, Christina A Athanasopoulou, Eleni Dafli, Panagiotis D Bamidis
J Med Internet Res 2014;16(6):e151
(Jun 13, 2014)
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4 1.25 0.00 4 40
 
 
167
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 0.84 0.00 4 30
 
 
168
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 0.75 0.00 4 45
 
 
169
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
 
 
170
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
 
 
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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.