Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
31
Collaborative Biomedicine in the Age of Big Data: The Case of Cancer
Abdul R Shaikh, Atul J Butte, Sheri D Schully, William S Dalton, Muin J Khoury, Bradford W Hesse
J Med Internet Res 2014;16(4):e101
(Apr 7, 2014)
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42 13.85 0.00 38 95
 
 
32
Employing Computers for the Recruitment into Clinical Trials: A Comprehensive Systematic Review
Felix Köpcke, Hans-Ulrich Prokosch
J Med Internet Res 2014;16(7):e161
(Jul 1, 2014)
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4 13.78 0.00 4 45
 
 
33
Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey
Louisa Edwards, Clare Thomas, Alison Gregory, Lucy Yardley, Alicia O'Cathain, Alan A Montgomery, Chris Salisbury
J Med Internet Res 2014;16(5):e123
(May 8, 2014)
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27 13.29 0.00 14 80
 
 
34
How Can Research Keep Up With eHealth? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research
Timothy B Baker, David H Gustafson, Dhavan Shah
J Med Internet Res 2014;16(2):e36
(Feb 19, 2014)
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60 13.19 0.00 45 95
 
 
35
Anonymity Versus Privacy: Selective Information Sharing in Online Cancer Communities
Jeana Frost, Ivar E Vermeulen, Nienke Beekers
J Med Internet Res 2014;16(5):e126
(May 14, 2014)
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24 13.05 0.00 24 100
 
 
36
Computer-Delivered and Web-Based Interventions to Improve Depression, Anxiety, and Psychological Well-Being of University Students: A Systematic Review and Meta-Analysis
E Bethan Davies, Richard Morriss, Cris Glazebrook
J Med Internet Res 2014;16(5):e130
(May 16, 2014)
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23 12.96 0.00 17 75
 
 
37
Health Domains for Sale: The Need for Global Health Internet Governance
Tim Ken Mackey, Bryan A Liang, Jillian C Kohler, Amir Attaran
J Med Internet Res 2014;16(3):e62
(Mar 5, 2014)
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52 12.69 0.00 46 100
 
 
38
Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older
Madlen Arnhold, Mandy Quade, Wilhelm Kirch
J Med Internet Res 2014;16(4):e104
(Apr 9, 2014)
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37 12.47 0.00 22 90
 
 
39
Paging “Dr. Google”: Does Technology Fill the Gap Created by the Prenatal Care Visit Structure? Qualitative Focus Group Study With Pregnant Women
Jennifer L Kraschnewski, Cynthia H Chuang, Erika S Poole, Tamara Peyton, Ian Blubaugh, Jaimey Pauli, Alyssa Feher, Madhu Reddy
J Med Internet Res 2014;16(6):e147
(Jun 3, 2014)
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14 11.73 0.00 10 75
 
 
40
Are Public Health Organizations Tweeting to the Choir? Understanding Local Health Department Twitter Followership
Jenine K Harris, Bechara Choucair, Ryan C Maier, Nina Jolani, Jay M Bernhardt
J Med Internet Res 2014;16(2):e31
(Feb 26, 2014)
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50 11.57 0.00 25 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.