Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
331
Cancer Survivorship in the Age of YouTube and Social Media: A Narrative Analysis
Wen-Ying Sylvia Chou, Yvonne Hunt, Anna Folkers, Erik Augustson
J Med Internet Res 2011;13(1):e7
(Jan 17, 2011)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 0.00 30 100
 
 
332
The Law of Attrition
Gunther Eysenbach
J Med Internet Res 2005;7(1):e11
(Mar 31, 2005)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 11.00 0 0
 
 
333
An Exploration of Social Circles and Prescription Drug Abuse Through Twitter
Carl Lee Hanson, Ben Cannon, Scott Burton, Christophe Giraud-Carrier
J Med Internet Res 2013;15(9):e189
(Sep 6, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 22.00 21 85
 
 
334
The Conceptual and Practical Ethical Dilemmas of Using Health Discussion Board Posts as Research Data
Carol S Bond, Osman Hassan Ahmed, Martin Hind, Bronwen Thomas, Jaqui Hewitt-Taylor
J Med Internet Res 2013;15(6):e112
(Jun 7, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 10.00 29 90
 
 
335
Open Source, Open Standards, and Health Care Information Systems
Carl J Reynolds, Jeremy C Wyatt
J Med Internet Res 2011;13(1):e24
(Feb 17, 2011)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 0.00 8 30
 
 
336
Broad Reach and Targeted Recruitment Using Facebook for an Online Survey of Young Adult Substance Use
Danielle E. Ramo, Judith J. Prochaska
J Med Internet Res 2012;14(1):e28
(Feb 23, 2012)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 0.00 10 35
 
 
337
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)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 0.00 52 95
 
 
338
A Pilot Study of Motivational Interviewing Training in a Virtual World
Suzanne Mitchell, Neil Heyden, Paul Schroy, Stephen Andrew, Ekaterina Sadikova, John Wiecha
J Med Internet Res 2011;13(3):e77
(Sep 26, 2011)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 0.00 28 85
 
 
339
Analysis of the Security and Privacy Requirements of Cloud-Based Electronic Health Records Systems
Joel JPC Rodrigues, Isabel de la Torre, Gonzalo Fernández, Miguel López-Coronado
J Med Internet Res 2013;15(8):e186
(Aug 21, 2013)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
4 0.33 0.00 13 60
 
 
340
Comparison of Virtual Patient Simulation With Mannequin-Based Simulation for Improving Clinical Performances in Assessing and Managing Clinical Deterioration: Randomized Controlled Trial
Sok Ying Liaw, Sally Wai-Chi Chan, Fun-Gee Chen, Shing Chuan Hooi, Chiang Siau
J Med Internet Res 2014;16(9):e214
(Sep 17, 2014)
HTML free!
PDF ($22 pay-per-download, free for members [$4.92/mo.]
3 18.60 0.00 3 35
 
 
<< < 31  32  33  34 35  36  > >>
 
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.