Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
161
Evaluation of the Accuracy of Smartphone Medical Calculation Apps
Rachel Bierbrier, Vivian Lo, Robert C Wu
J Med Internet Res 2014;16(2):e32
(Feb 3, 2014)
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5 0.83 0.00 23 95
 
 
162
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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5 0.83 0.00 118 100
 
 
163
Can an Internet-Based Health Risk Assessment Highlight Problems of Heart Disease Risk Factor Awareness? A Cross-Sectional Analysis
Justin B Dickerson, Catherine J McNeal, Ginger Tsai, Cathleen M Rivera, Matthew Lee Smith, Robert L Ohsfeldt, Marcia G Ory
J Med Internet Res 2014;16(4):e106
(Apr 18, 2014)
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5 1.14 0.00 5 45
 
 
164
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
 
 
165
Mobile Phone Text Messaging Intervention for Cervical Cancer Screening: Changes in Knowledge and Behavior Pre-Post Intervention
Hee Yun Lee, Joseph S Koopmeiners, Taeho Greg Rhee, Victoria H Raveis, Jasjit S Ahluwalia
J Med Internet Res 2014;16(8):e196
(Aug 27, 2014)
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5 31.00 0.00 5 60
 
 
166
An Innovative Smartphone-Based Otorhinoendoscope and Its Application in Mobile Health and Teleotolaryngology
Cheng-Jung Wu, Sheng-Yu Wu, Po-Chun Chen, Yaoh-Shiang Lin
J Med Internet Res 2014;16(3):e71
(Mar 3, 2014)
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5 0.85 0.00 0 0
 
 
167
Interactive Sections of an Internet-Based Intervention Increase Empowerment of Chronic Back Pain Patients: Randomized Controlled Trial
Silvia Riva, Anne-Linda Camerini, Ahmed Allam, Peter J Schulz
J Med Internet Res 2014;16(8):e180
(Aug 13, 2014)
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5 8.16 0.00 5 55
 
 
168
Cancer Survivorship in the Age of YouTube and Social Media: A Narrative Analysis
Wen-Ying Sylvia Chou, Yvonne Hunt, Anna Folkers, Erik Augustson
J Med Internet Res 2011;13(1):e7
(Jan 17, 2011)
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4 0.67 0.00 30 100
 
 
169
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
 
 
170
Multimodal Guided Self-Help Exercise Program to Prevent Speech, Swallowing, and Shoulder Problems Among Head and Neck Cancer Patients: A Feasibility Study
Ingrid C Cnossen, Cornelia F van Uden-Kraan, Rico NPM Rinkel, IJke J Aalders, Cees JT de Goede, Remco de Bree, Patricia Doornaert, Derek HF Rietveld, Johannes A Langendijk, Birgit I Witte, C Rene Leemans, Irma M Verdonck-de Leeuw
J Med Internet Res 2014;16(3):e74
(Mar 6, 2014)
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4 0.69 0.00 4 60
 
 
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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.