Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
41
The Conceptual and Practical Ethical Dilemmas of Using Health Discussion Board Posts as Research Data
Carol S Bond, Osman Hassan Ahmed, Martin Hind, Bronwen Thomas, Jaqui Hewitt-Taylor
J Med Internet Res 2013;15(6):e112
(Jun 7, 2013)
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48 4.68 170.00 29 90
 
 
42
Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial
Emily Brindal, Jill Freyne, Ian Saunders, Shlomo Berkovsky, Greg Smith, Manny Noakes
J Med Internet Res 2012;14(6):e173
(Dec 12, 2012)
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61 3.82 168.00 56 90
 
 
43
Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students
Carl L Hanson, Scott H Burton, Christophe Giraud-Carrier, Josh H West, Michael D Barnes, Bret Hansen
J Med Internet Res 2013;15(4):e62
(Apr 17, 2013)
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70 5.88 164.00 16 70
 
 
44
Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
Taridzo Chomutare, Luis Fernandez-Luque, Eirik Ă…rsand, Gunnar Hartvigsen
J Med Internet Res 2011;13(3):e65
(Sep 22, 2011)
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100 3.29 160.00 56 100
 
 
45
What E-patients Want From the Doctor-Patient Relationship: Content Analysis of Posts on Discussion Boards
Jaqui Hewitt-Taylor, Carol S Bond
J Med Internet Res 2012;14(6):e155
(Nov 8, 2012)
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73 4.28 154.00 57 95
 
 
46
What do Web-Use Skill Differences Imply for Online Health Information Searches?
Markus A Feufel, S Frederica Stahl
J Med Internet Res 2012;14(3):e87
(Jun 13, 2012)
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51 2.34 151.00 28 70
 
 
47
The Impact of Social Media on Medical Professionalism: A Systematic Qualitative Review of Challenges and Opportunities
Fatemeh Gholami-Kordkheili, Verina Wild, Daniel Strech
J Med Internet Res 2013;15(8):e184
(Aug 28, 2013)
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67 8.80 146.00 52 95
 
 
48
Online Interventions for Social Marketing Health Behavior Change Campaigns: A Meta-Analysis of Psychological Architectures and Adherence Factors
Brian Cugelman, Mike Thelwall, Phil Dawes
J Med Internet Res 2011;13(1):e17
(Feb 14, 2011)
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61 1.63 139.00 21 65
 
 
49
Pro-Anorexia and Pro-Recovery Photo Sharing: A Tale of Two Warring Tribes
Elad Yom-Tov, Luis Fernandez-Luque, Ingmar Weber, Steven P Crain
J Med Internet Res 2012;14(6):e151
(Nov 7, 2012)
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31 1.81 139.00 17 60
 
 
50
How Cancer Survivors Provide Support on Cancer-Related Internet Mailing Lists
Andrea Meier, Elizabeth Lyons, Gilles Frydman, Michael Forlenza, Barbara Rimer
J Med Internet Res 2007;9(2):e12
(May 14, 2007)
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21 0.28 138.00 1 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.

 * Tweets Data Collection began January 2008