Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
541
Facebook for Scientists: Requirements and Services for Optimizing How Scientific Collaborations Are Established
Titus Schleyer, Heiko Spallek, Brian Butler, Sushmita Subramanian, Daniel Weiss, M. Poythress, Phijarana Rattanathikun, Gregory Mueller
J Med Internet Res 2008;10(3):e24
(Aug 13, 2008)
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6 0.11 11.00 1 80
 
 
542
Evidence-based Patient Choice and Consumer health informatics in the Internet age
Gunther Eysenbach, Alejandro R Jadad
J Med Internet Res 2001;3(2):e19
(Jun 7, 2001)
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4 0.06 28.00 1 100
 
 
543
Missing Data Approaches in eHealth Research: Simulation Study and a Tutorial for Nonmathematically Inclined Researchers
Matthijs Blankers, Maarten W J Koeter, Gerard M Schippers
J Med Internet Res 2010;12(5):e54
(Dec 19, 2010)
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3 0.10 10.00 1 5
 
 
544
Age-Sensitive Design of Online Health Information: Comparative Usability Study
Richard Pak, Margaux Price, Jason Thatcher
J Med Internet Res 2009;11(4):e45
(Nov 16, 2009)
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3 0.07 14.00 1 5
 
 
545
Nationwide Implementation of Hello World: A Dutch Email-Based Health Promotion Program for Pregnant Women
Mariska Bot, Ivon EJ Milder, Wanda JE Bemelmans
J Med Internet Res 2009;11(3):e24
(Jul 30, 2009)
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3 0.07 26.00 1 5
 
 
546
What is e-health?
G Eysenbach
J Med Internet Res 2001;3(2):e20
(Jun 18, 2001)
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13 0.20 20.00 0 0
 
 
547
Are Physicians Ready for Patients With Internet-Based Health Information?
Farah Ahmad, Pamela L Hudak, Kim Bercovitz, Elisa Hollenberg, Wendy Levinson
J Med Internet Res 2006;8(3):e22
(Sep 29, 2006)
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13 0.20 29.00 0 0
 
 
548
"Is Cybermedicine Killing You?" - The Story of a Cochrane Disaster
Gunther Eysenbach, Per Egil Kummervold
J Med Internet Res 2005;7(2):e21
(Jun 30, 2005)
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12 0.19 82.00 0 0
 
 
549
eHEALS: The eHealth Literacy Scale
Cameron D Norman, Harvey A Skinner
J Med Internet Res 2006;8(4):e27
(Nov 14, 2006)
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12 0.19 38.00 0 0
 
 
550
Internet Usage by Low-Literacy Adults Seeking Health Information: An Observational Analysis
Mehret S Birru, Valerie M Monaco, Lonelyss Charles, Hadiya Drew, Valerie Njie, Timothy Bierria, Ellen Detlefsen, Richard A Steinman
J Med Internet Res 2004;6(3):e25
(Sep 3, 2004)
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10 0.16 16.00 0 0
 
 
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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