Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
41
Short Message Service (SMS) Applications for Disease Prevention in Developing Countries
Carole Déglise, L. Suzanne Suggs, Peter Odermatt
J Med Internet Res 2012;14(1):e3
(Jan 12, 2012)
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70 4.36 77.00 27 80
 
 
42
Internet Skills Performance Tests: Are People Ready for eHealth?
Alexander J.A.M. van Deursen, Jan A.G.M. van Dijk
J Med Internet Res 2011;13(2):e35
(Apr 29, 2011)
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70 2.87 163.00 39 90
 
 
43
Public Access and Use of Health Research: An Exploratory Study of the National Institutes of Health (NIH) Public Access Policy Using Interviews and Surveys of Health Personnel
Jamie O'Keeffe, John Willinsky, Lauren Maggio
J Med Internet Res 2011;13(4):e97
(Nov 21, 2011)
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68 3.83 129.00 52 100
 
 
44
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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63 11.98 180.00 57 90
 
 
45
Individually Tailored Internet-Based Treatment for Young Adults and Adults With Panic Attacks: Randomized Controlled Trial
Kristin Silfvernagel, Per Carlbring, Julia Kabo, Sara Edström, Jenny Eriksson, Lisa Månson, Gerhard Andersson
J Med Internet Res 2012;14(3):e65
(Jun 26, 2012)
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62 5.79 57.00 13 50
 
 
46
Managing the Personal Side of Health: How Patient Expertise Differs from the Expertise of Clinicians
Andrea Hartzler, Wanda Pratt
J Med Internet Res 2011;13(3):e62
(Aug 16, 2011)
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62 2.97 125.00 39 100
 
 
47
Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak
Lex van Velsen, Julia E.W.C. van Gemert-Pijnen, Desirée J.M.A. Beaujean, Jobke Wentzel, Jim E. van Steenbergen
J Med Internet Res 2012;14(6):e181
(Dec 20, 2012)
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60 12.00 61.00 20 80
 
 
48
An Evaluation of the Use of Smartphones to Communicate Between Clinicians: A Mixed-Methods Study
Robert Wu, Peter Rossos, Sherman Quan, Scott Reeves, Vivian Lo, Brian Wong, Mark Cheung, Dante Morra
J Med Internet Res 2011;13(3):e59
(Aug 29, 2011)
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60 2.93 83.00 29 95
 
 
49
Review of Extracting Information From the Social Web for Health Personalization
Luis Fernandez-Luque, Randi Karlsen, Jason Bonander
J Med Internet Res 2011;13(1):e15
(Jan 28, 2011)
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60 2.20 144.00 50 100
 
 
50
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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58 48.60 132.00 17 70
 
 
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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