Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
561
Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)
Gunther Eysenbach
J Med Internet Res 2004;6(3):e34
(Sep 29, 2004)
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5 0.08 10.00 0 0
 
 
562
Impact of Web Searching and Social Feedback on Consumer Decision Making: A Prospective Online Experiment
Annie Lau, Enrico Coiera
J Med Internet Res 2008;10(1):e2
(Jan 22, 2008)
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5 0.08 2.00 0 0
 
 
563
The Internet and Clinical Trials: Background, Online Resources, Examples and Issues
James Paul, Rachael Seib, Todd Prescott
J Med Internet Res 2005;7(1):e5
(Mar 16, 2005)
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4 0.06 12.00 0 0
 
 
564
Using the Internet for Surveys and Health Research
Gunther Eysenbach, Jeremy Wyatt
J Med Internet Res 2002;4(2):e13
(Nov 22, 2002)
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4 0.06 8.00 0 0
 
 
565
Response Rate and Completeness of Questionnaires: A Randomized Study of Internet Versus Paper-and-Pencil Versions
Sissel Marie Kongsved, Maja Basnov, Kurt Holm-Christensen, Niels Henrik Hjollund
J Med Internet Res 2007;9(3):e25
(Sep 30, 2007)
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4 0.06 0.00 0 0
 
 
566
Reasons for Consulting a Doctor on the Internet: Web Survey of Users of an Ask the Doctor Service
Göran Umefjord, Göran Petersson, Katarina Hamberg
J Med Internet Res 2003;5(4):e26
(Oct 22, 2003)
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3 0.05 16.00 0 0
 
 
567
Generic Design of Web-Based Clinical Databases
Jacob Anhøj
J Med Internet Res 2003;5(4):e27
(Nov 4, 2003)
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3 0.05 10.00 0 0
 
 
568
Design and Evaluation in eHealth: Challenges and Implications for an Interdisciplinary Field
Claudia Pagliari
J Med Internet Res 2007;9(2):e15
(May 27, 2007)
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3 0.05 19.00 0 0
 
 
569
Use of the Internet by Patients Before and After Cardiac Surgery: An Interdisciplinary Telephone Survey
Monica Murero, Giuseppe D'Ancona, Hratch Karamanoukian
J Med Internet Res 2001;3(3):e27
(Sep 30, 2001)
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3 0.05 29.00 0 0
 
 
570
Age-Specific Search Strategies for Medline
Monika Kastner, Nancy L Wilczynski, Cindy Walker-Dilks, Kathleen Ann McKibbon, Brian Haynes
J Med Internet Res 2006;8(4):e25
(Oct 25, 2006)
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3 0.05 7.00 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