Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
31
Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle
Patricia Cavazos-Rehg, Melissa Krauss, Richard Grucza, Laura Bierut
J Med Internet Res 2014;16(6):e157
(Jun 27, 2014)
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30 35.77 0.00 28 100
 
 
32
A Lot of Action, But Not in the Right Direction: Systematic Review and Content Analysis of Smartphone Applications for the Prevention, Detection, and Management of Cancer
Jacqueline Lorene Bender, Rossini Ying Kwan Yue, Matthew Jason To, Laetitia Deacken, Alejandro R Jadad
J Med Internet Res 2013;15(12):e287
(Dec 23, 2013)
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30 5.00 0.00 38 100
 
 
33
Understanding the Factors That Influence the Adoption and Meaningful Use of Social Media by Physicians to Share Medical Information
Brian S McGowan, Molly Wasko, Bryan Steven Vartabedian, Robert S Miller, Desirae D Freiherr, Maziar Abdolrasulnia
J Med Internet Res 2012;14(5):e117
(Sep 24, 2012)
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29 4.83 0.00 142 100
 
 
34
Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey
Louisa Edwards, Clare Thomas, Alison Gregory, Lucy Yardley, Alicia O'Cathain, Alan A Montgomery, Chris Salisbury
J Med Internet Res 2014;16(5):e123
(May 8, 2014)
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27 11.01 0.00 14 80
 
 
35
Enabling Community Through Social Media
Anatoliy Gruzd, Caroline Haythornthwaite
J Med Internet Res 2013;15(10):e248
(Oct 31, 2013)
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25 4.17 0.00 40 95
 
 
36
Anonymity Versus Privacy: Selective Information Sharing in Online Cancer Communities
Jeana Frost, Ivar E Vermeulen, Nienke Beekers
J Med Internet Res 2014;16(5):e126
(May 14, 2014)
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24 10.63 0.00 24 100
 
 
37
Would You Tell Everyone This? Facebook Conversations as Health Promotion Interventions
Jonathan Syred, Carla Naidoo, Sarah C Woodhall, Paula Baraitser
J Med Internet Res 2014;16(4):e108
(Apr 11, 2014)
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24 7.22 0.00 6 50
 
 
38
Quantifying Short-Term Dynamics of Parkinson’s Disease Using Self-Reported Symptom Data From an Internet Social Network
Max Little, Paul Wicks, Timothy Vaughan, Alex Pentland
J Med Internet Res 2013;15(1):e20
(Jan 24, 2013)
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24 4.00 0.00 29 100
 
 
39
Community Management That Works: How to Build and Sustain a Thriving Online Health Community
Colleen Young
J Med Internet Res 2013;15(6):e119
(Jun 11, 2013)
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24 4.00 0.00 101 100
 
 
40
Computer-Delivered and Web-Based Interventions to Improve Depression, Anxiety, and Psychological Well-Being of University Students: A Systematic Review and Meta-Analysis
E Bethan Davies, Richard Morriss, Cris Glazebrook
J Med Internet Res 2014;16(5):e130
(May 16, 2014)
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23 10.49 0.00 17 75
 
 
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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.