Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
31
Web 2.0 Chronic Disease Self-Management for Older Adults: A Systematic Review
Michael Stellefson, Beth Chaney, Adam E. Barry, Enmanuel Chavarria, Bethany Tennant, Kim Walsh-Childers, P.S. Sriram, Justin Zagora
J Med Internet Res 2013;15(2):e35
(Feb 14, 2013)
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75 5.45 106.00 59 100
 
 
32
New Media Use by Patients Who Are Homeless: The Potential of mHealth to Build Connectivity
Lori Ann Post, Federico E Vaca, Kelly M. Doran, Cali Luco, Matthew Naftilan, James Dziura, Cynthia Brandt, Steven Bernstein, Liudvikas Jagminas, Gail D'Onofrio
J Med Internet Res 2013;15(9):e195
(Sep 3, 2013)
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87 11.93 210.00 58 100
 
 
33
Making Sense of Mobile Health Data: An Open Architecture to Improve Individual- and Population-Level Health
Connie Chen, David Haddad, Joshua Selsky, Julia E Hoffman, Richard L Kravitz, Deborah E Estrin, Ida Sim
J Med Internet Res 2012;14(4):e112
(Aug 9, 2012)
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72 3.62 173.00 58 100
 
 
34
Communicating the Experience of Chronic Pain and Illness Through Blogging
Pamela Katz Ressler, Ylisabyth S. Bradshaw, Lisa Gualtieri, Kenneth Kwan Ho Chui
J Med Internet Res 2012;14(5):e143
(Oct 23, 2012)
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77 4.41 227.00 57 95
 
 
35
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 4.31 154.00 57 95
 
 
36
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 3.30 160.00 56 100
 
 
37
A Survey of Health-Related Activities on Second Life
Leslie Beard, Kumanan Wilson, Dante Morra, Jennifer Keelan
J Med Internet Res 2009;11(2):e17
(May 22, 2009)
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95 1.64 312.00 56 100
 
 
38
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 3.85 168.00 56 90
 
 
39
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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69 8.99 110.00 55 95
 
 
40
Correlates of Health-Related Social Media Use Among Adults
Rosemary Thackeray, Benjamin T. Crookston, Joshua H. West
J Med Internet Res 2013;15(1):e21
(Jan 30, 2013)
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100 7.01 258.00 54 100
 
 
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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