Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
521
Answers to Questions Posed During Daily Patient Care Are More Likely to Be Answered by UpToDate Than PubMed
Arjen Hoogendam, Anton Stalenhoef, Pieter de Vries Robbé, A John Overbeke
J Med Internet Res 2008;10(4):e29
(Oct 3, 2008)
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2 0.04 19.00 2 65
 
 
522
A Digital Smoking Cessation Program Delivered Through Internet and Cell Phone Without Nicotine Replacement (Happy Ending): Randomized Controlled Trial
Håvar Brendryen, Filip Drozd, Pål Kraft
J Med Internet Res 2008;10(5):e51
(Nov 28, 2008)
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2 0.04 16.00 2 85
 
 
523
Providing Web-Based Feedback and Social Norms Information to Reduce Student Alcohol Intake: A Multisite Investigation
Bridgette M Bewick, Robert West, Jan Gill, Fiona O'May, Brendan Mulhern, Michael Barkham, Andrew J Hill
J Med Internet Res 2010;12(5):e59
(Dec 19, 2010)
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2 0.07 10.00 2 5
 
 
524
The Ins and Outs of an Online Bipolar Education Program: A Study of Program Attrition
Jennifer Nicholas, Judith Proudfoot, Gordon Parker, Inika Gillis, Rowan Burckhardt, Vijaya Manicavasagar, Meg Smith
J Med Internet Res 2010;12(5):e57
(Dec 19, 2010)
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2 0.07 10.00 2 10
 
 
525
A Comparison of Psychometric Properties Between Internet and Paper Versions of Two Depression Instruments (BDI-II and MADRS-S) Administered to Clinic Patients
Fredrik Holländare, Gerhard Andersson, Ingemar Engström
J Med Internet Res 2010;12(5):e49
(Dec 19, 2010)
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2 0.07 1.00 2 5
 
 
526
Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial
Robert Hurling, Michael Catt, Marco De Boni, Bruce Fairley, Tina Hurst, Peter Murray, Alannah Richardson, Jaspreet Sodhi
J Med Internet Res 2007;9(2):e7
(Apr 28, 2007)
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2 0.03 0.00 2 100
 
 
527
Review of Online Evidence-based Practice Point-of-Care Information Summary Providers: Authors’ Reply to the Response by the Publisher of DynaMed
Rita Banzi, Alessandro Liberati, Ivan Moschetti, Ludovica Tagliabue, Lorenzo Moja
J Med Internet Res 2010;12(3):e40
(Sep 9, 2010)
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2 0.06 0.00 2 0
 
 
528
How Cancer Survivors Provide Support on Cancer-Related Internet Mailing Lists
Andrea Meier, Elizabeth Lyons, Gilles Frydman, Michael Forlenza, Barbara Rimer
J Med Internet Res 2007;9(2):e12
(May 14, 2007)
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22 0.35 148.00 1 95
 
 
529
What Is eHealth (3): A Systematic Review of Published Definitions
Hans Oh, Carlos Rizo, Murray Enkin, Alejandro Jadad
J Med Internet Res 2005;7(1):e1
(Feb 24, 2005)
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21 0.33 62.00 1 100
 
 
530
A Text Message-Based Intervention for Weight Loss: Randomized Controlled Trial
Kevin Patrick, Fred Raab, Marc Adams, Lindsay Dillon, Marion Zabinski, Cheryl Rock, William Griswold, Gregory Norman
J Med Internet Res 2009;11(1):e1
(Jan 13, 2009)
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17 0.33 30.00 1 70
 
 
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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.

 * Tweets Data Collection began January 2008