Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
21
Patients’ Ratings of Family Physician Practices on the Internet: Usage and Associations With Conventional Measures of Quality in the English National Health Service
Felix Greaves, Utz J Pape, Henry Lee, Dianna M Smith, Ara Darzi, Azeem Majeed, Christopher Millett
J Med Internet Res 2012;14(5):e146
(Oct 17, 2012)
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71 10.05 87.00 43 95
 
 
22
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
 
 
23
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
 
 
24
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
 
 
25
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
 
 
26
Health and Wellness Technology Use by Historically Underserved Health Consumers: Systematic Review
Enid Montague, Jennifer Perchonok
J Med Internet Res 2012;14(3):e78
(May 31, 2012)
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57 4.94 141.00 49 85
 
 
27
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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54 4.85 169.00 31 75
 
 
28
Young Men, Mental Health, and Technology: Implications for Service Design and Delivery in the Digital Age
Louise A Ellis, Philippa Collin, Tracey A Davenport, Patrick J Hurley, Jane M Burns, Ian B Hickie
J Med Internet Res 2012;14(6):e160
(Nov 22, 2012)
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54 9.15 137.00 54 95
 
 
29
The Impact of Electronic Patient Portals on Patient Care: A Systematic Review of Controlled Trials
Elske Ammenwerth, Petra Schnell-Inderst, Alexander Hoerbst
J Med Internet Res 2012;14(6):e162
(Nov 26, 2012)
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53 9.18 134.00 39 90
 
 
30
"Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information
Scott H. Burton, Kesler W. Tanner, Christophe G. Giraud-Carrier, Joshua H. West, Michael D. Barnes
J Med Internet Res 2012;14(6):e156
(Nov 15, 2012)
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51 8.32 89.00 32 90
 
 
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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.