Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
61
Analysis of the Purpose of State Health Departments' Tweets: Information Sharing, Engagement, and Action
Rosemary Thackeray, Brad L Neiger, Scott H Burton, Callie R Thackeray
J Med Internet Res 2013;15(11):e255
(Nov 11, 2013)
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17 3.31 47.00 9 60
 
 
62
Evaluating Self-Management Behaviors of Diabetic Patients in a Telehealthcare Program: Longitudinal Study Over 18 Months
Lichin Chen, Lee-Ming Chuang, Chia-Hsiun Chang, Chiou-Shiang Wang, I-Ching Wang, Yufang Chung, Hui-Yu Peng, Hui-Chuen Chen, Yu-Ling Hsu, Yu-Sheng Lin, Huang-Jen Chen, Tieng-Chun Chang, Yi-Der Jiang, Hung-Chang Lee, Ching-Ting Tan, Hsin-Lu Chang, Feipei Lai
J Med Internet Res 2013;15(12):e266
(Dec 9, 2013)
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16 3.79 3.00 14 95
 
 
63
Effects of a Web-Based Intervention on Physical Activity and Metabolism in Older Adults: Randomized Controlled Trial
Carolien A Wijsman, Rudi GJ Westendorp, Evert ALM Verhagen, Michael Catt, P Eline Slagboom, Anton JM de Craen, Karen Broekhuizen, Willem van Mechelen, Diana van Heemst, Frans van der Ouderaa, Simon P Mooijaart
J Med Internet Res 2013;15(11):e233
(Nov 6, 2013)
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16 3.02 14.00 14 75
 
 
64
Web-Based Intervention in Mindfulness Meditation for Reducing Residual Depressive Symptoms and Relapse Prophylaxis: A Qualitative Study
Jennifer M Boggs, Arne Beck, Jennifer N Felder, Sona Dimidjian, Christina A Metcalf, Zindel V Segal
J Med Internet Res 2014;16(3):e87
(Mar 24, 2014)
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15 17.88 0.00 13 90
 
 
65
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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15 6.37 0.00 9 80
 
 
66
How Accurate is Web-Based Self-Reported Height, Weight, and Body Mass Index in Young Adults?
Kirrilly Pursey, Tracy L Burrows, Peter Stanwell, Clare E Collins
J Med Internet Res 2014;16(1):e4
(Jan 7, 2014)
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15 4.56 9.00 14 80
 
 
67
Smartphones as Multimodal Communication Devices to Facilitate Clinical Knowledge Processes: Randomized Controlled Trial
Christoph Pimmer, Magdalena Mateescu, Carmen Zahn, Urs Genewein
J Med Internet Res 2013;15(11):e263
(Nov 27, 2013)
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15 3.25 18.00 12 65
 
 
68
Directed Use of the Internet for Health Information by Patients With Chronic Kidney Disease: Prospective Cohort Study
Clarissa Jonas Diamantidis, Wanda Fink, Shiming Yang, Marni R Zuckerman, Jennifer Ginsberg, Peter Hu, Yan Xiao, Jeffrey C Fink
J Med Internet Res 2013;15(11):e251
(Nov 15, 2013)
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15 3.00 17.00 10 55
 
 
69
Sources of Information and Behavioral Patterns in Online Health Forums: Observational Study
Fabian Sudau, Tim Friede, Jens Grabowski, Janka Koschack, Philip Makedonski, Wolfgang Himmel
J Med Internet Res 2014;16(1):e10
(Jan 14, 2014)
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14 4.57 0.00 10 80
 
 
70
Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study
Elina Helander, Kirsikka Kaipainen, Ilkka Korhonen, Brian Wansink
J Med Internet Res 2014;16(4):e109
(Apr 15, 2014)
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13 100.78 0.00 13 75
 
 
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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.