Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
11
Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact
Gunther Eysenbach
J Med Internet Res 2011;13(4):e123
(Dec 16, 2011)
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82 13.67 129.00 536 100
 
 
12
Increasing Physical Activity With Mobile Devices: A Meta-Analysis
Jason Fanning, Sean P Mullen, Edward McAuley
J Med Internet Res 2012;14(6):e161
(Nov 21, 2012)
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73 12.50 122.00 51 95
 
 
13
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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72 23.25 108.00 61 100
 
 
14
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 12.21 180.00 57 90
 
 
15
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 12.24 61.00 20 80
 
 
16
The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students
Errol Ozdalga, Ark Ozdalga, Neera Ahuja
J Med Internet Res 2012;14(5):e128
(Sep 27, 2012)
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57 9.50 125.00 133 95
 
 
17
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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55 50.15 126.00 17 70
 
 
18
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 9.30 137.00 54 95
 
 
19
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 9.34 134.00 39 90
 
 
20
Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTube
Shabbir Syed-Abdul, Luis Fernandez-Luque, Wen-Shan Jian, Yu-Chuan Li, Steven Crain, Min-Huei Hsu, Yao-Chin Wang, Dorjsuren Khandregzen, Enkhzaya Chuluunbaatar, Phung Anh Nguyen, Der-Ming Liou
J Med Internet Res 2013;15(2):e30
(Feb 13, 2013)
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50 15.98 129.00 38 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.