Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
41
The Complex Relationship of Realspace Events and Messages in Cyberspace: Case Study of Influenza and Pertussis Using Tweets
Anna C Nagel, Ming-Hsiang Tsou, Brian H Spitzberg, Li An, J Mark Gawron, Dipak K Gupta, Jiue-An Yang, Su Han, K Michael Peddecord, Suzanne Lindsay, Mark H Sawyer
J Med Internet Res 2013;15(10):e237
(Oct 24, 2013)
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22 2.09 24.00 12 85
 
 
42
The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration
Michael Kistler, Serena Bonaretti, Marcel Pfahrer, Roman Niklaus, Philippe Büchler
J Med Internet Res 2013;15(11):e245
(Nov 12, 2013)
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11 1.11 24.00 11 75
 
 
43
The Effect of Patient Narratives on Information Search in a Web-Based Breast Cancer Decision Aid: An Eye-Tracking Study
Victoria A Shaffer, Justin Owens, Brian J Zikmund-Fisher
J Med Internet Res 2013;15(12):e273
(Dec 17, 2013)
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10 1.14 24.00 5 40
 
 
44
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 0.87 24.00 7 65
 
 
45
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 1.37 23.00 13 75
 
 
46
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 1.27 23.00 12 70
 
 
47
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 0.81 23.00 7 50
 
 
48
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 0.65 23.00 5 45
 
 
49
An Analysis of Online Evaluations on a Physician Rating Website: Evidence From a German Public Reporting Instrument
Martin Emmert, Florian Meier
J Med Internet Res 2013;15(8):e157
(Aug 6, 2013)
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5 0.42 23.00 5 40
 
 
50
Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products
Mark Myslín, Shu-Hong Zhu, Wendy Chapman, Mike Conway
J Med Internet Res 2013;15(8):e174
(Aug 29, 2013)
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12 1.00 22.00 31 85
 
 
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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.