Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
281
Sharing Health Data for Better Outcomes on PatientsLikeMe
Paul Wicks, Michael Massagli, Jeana Frost, Catherine Brownstein, Sally Okun, Timothy Vaughan, Richard Bradley, James Heywood
J Med Internet Res 2010;12(2):e19
(Jun 14, 2010)
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1 0.17 0.00 46 95
 
 
282
Cardiopulmonary Resuscitation Training in High School Using Avatars in Virtual Worlds: An International Feasibility Study
Johan Creutzfeldt, Leif Hedman, LeRoy Heinrichs, Patricia Youngblood, Li Felländer-Tsai
J Med Internet Res 2013;15(1):e9
(Jan 14, 2013)
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1 0.17 0.00 10 55
 
 
283
Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
Morwenna Kirwan, Corneel Vandelanotte, Andrew Fenning, Mitch J Duncan
J Med Internet Res 2013;15(11):e235
(Nov 13, 2013)
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1 0.17 0.00 23 90
 
 
284
Net Improvement of Correct Answers to Therapy Questions After PubMed Searches: Pre/Post Comparison
Kathleen Ann McKibbon, Cynthia Lokker, Arun Keepanasseril, Nancy L Wilczynski, R Brian Haynes
J Med Internet Res 2013;15(11):e243
(Nov 8, 2013)
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1 0.17 0.00 10 60
 
 
285
How Patients With Schizophrenia Use the Internet: Qualitative Study
Beate Schrank, Ingrid Sibitz, Annemarie Unger, Michaela Amering
J Med Internet Res 2010;12(5):e70
(Dec 19, 2010)
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1 0.17 0.00 19 100
 
 
286
Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment
Erik Black, Jennifer Light, Nicole Paradise Black, Lindsay Thompson
J Med Internet Res 2013;15(5):e94
(May 17, 2013)
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1 0.17 0.00 33 95
 
 
287
Using Chat and Text Technologies to Answer Sexual and Reproductive Health Questions: Planned Parenthood Pilot Study
Margaret M Giorgio, Leslie M Kantor, Deborah S Levine, Whitney Arons
J Med Internet Res 2013;15(9):e203
(Sep 20, 2013)
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1 0.17 0.00 15 85
 
 
288
How Current Are Leading Evidence-Based Medical Textbooks? An Analytic Survey of Four Online Textbooks
Rebecca Jeffery, Tamara Navarro, Cynthia Lokker, R Brian Haynes, Nancy L Wilczynski, George Farjou
J Med Internet Res 2012;14(6):e175
(Dec 10, 2012)
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1 0.17 0.00 25 80
 
 
289
Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks
Hua Gu, Bin Chen, Honghong Zhu, Tao Jiang, Xinyi Wang, Lei Chen, Zhenggang Jiang, Dawei Zheng, Jianmin Jiang
J Med Internet Res 2014;16(1):e20
(Jan 17, 2014)
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1 0.17 0.00 4 40
 
 
290
Correction: 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 2012;14(1):e7
(Jan 4, 2012)
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1 0.17 0.00 12 25
 
 
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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.