Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
51
Text Messaging Data Collection for Monitoring an Infant Feeding Intervention Program in Rural China: Feasibility Study
Ye Li, Wei Wang, Michelle Helena van Velthoven, Li Chen, Josip Car, Igor Rudan, Yanfeng Zhang, Qiong Wu, Xiaozhen Du, Robert W Scherpbier
J Med Internet Res 2013;15(12):e269
(Dec 4, 2013)
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8 0.91 24.00 7 65
 
 
52
Correlation and Interaction Visualization of Altmetric Indicators Extracted From Scholarly Social Network Activities: Dimensions and Structure
Chun Li Liu, Yue Quan Xu, Hui Wu, Si Si Chen, Ji Jun Guo
J Med Internet Res 2013;15(11):e259
(Nov 25, 2013)
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13 1.43 23.00 13 75
 
 
53
Standardized, App-Based Disinfection of iPads in a Clinical and Nonclinical Setting: Comparative Analysis
Urs-Vito Albrecht, Ute von Jan, Ludwig Sedlacek, Stephanie Groos, Sebastian Suerbaum, Ralf-Peter Vonberg
J Med Internet Res 2013;15(8):e176
(Aug 14, 2013)
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13 1.08 23.00 19 100
 
 
54
The Effects of Preference for Information on Consumers’ Online Health Information Search Behavior
Yan Zhang
J Med Internet Res 2013;15(11):e234
(Nov 26, 2013)
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12 1.32 23.00 12 70
 
 
55
Efficacy of a Text Message-Based Smoking Cessation Intervention for Young People: A Cluster Randomized Controlled Trial
Severin Haug, Michael P Schaub, Vigeli Venzin, Christian Meyer, Ulrich John
J Med Internet Res 2013;15(8):e171
(Aug 16, 2013)
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11 0.92 23.00 16 85
 
 
56
Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study
Andrey Zheluk, Casey Quinn, Daniel Hercz, James A Gillespie
J Med Internet Res 2013;15(11):e256
(Nov 12, 2013)
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8 0.84 23.00 7 50
 
 
57
Young Men’s Views Toward the Barriers and Facilitators of Internet-Based Chlamydia Trachomatis Screening: Qualitative Study
Karen Lorimer, Lisa McDaid
J Med Internet Res 2013;15(12):e265
(Dec 3, 2013)
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6 0.68 23.00 5 45
 
 
58
Video Consultation Use by Australian General Practitioners: Video Vignette Study
Moyez Jiwa, Xingqiong Meng
J Med Internet Res 2013;15(6):e117
(Jun 19, 2013)
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10 0.83 21.00 9 45
 
 
59
The Emergent Discipline of Health Web Science
Joanne S Luciano, Grant P Cumming, Mark D Wilkinson, Eva Kahana
J Med Internet Res 2013;15(8):e166
(Aug 22, 2013)
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9 0.75 21.00 55 95
 
 
60
Parents Seeking Health-Related Information on the Internet: Cross-Sectional Study
Aida Bianco, Rossella Zucco, Carmelo Giuseppe A Nobile, Claudia Pileggi, Maria Pavia
J Med Internet Res 2013;15(9):e204
(Sep 18, 2013)
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15 1.33 20.00 13 80
 
 
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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.