Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
411
Versatile, Immersive, Creative and Dynamic Virtual 3-D Healthcare Learning Environments: A Review of the Literature
Margaret Hansen
J Med Internet Res 2008;10(3):e26
(Sep 1, 2008)
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2 0.17 1.00 2 75
 
 
412
Wikipedia: A Key Tool for Global Public Health Promotion
James M Heilman, Eckhard Kemmann, Michael Bonert, Anwesh Chatterjee, Brent Ragar, Graham M Beards, David J Iberri, Matthew Harvey, Brendan Thomas, Wouter Stomp, Michael F Martone, Daniel J Lodge, Andrea Vondracek, Jacob F de Wolff, Casimir Liber, Samir C Grover, Tim J Vickers, Bertalan Meskó, Michaël R Laurent
J Med Internet Res 2011;13(1):e14
(Jan 31, 2011)
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2 0.17 1.00 82 100
 
 
413
Benefits of Peer Support in Online Japanese Breast Cancer Communities: Differences Between Lurkers and Posters
Yoko Setoyama, Yoshihiko Yamazaki, Kazuhiro Namayama
J Med Internet Res 2011;13(4):e122
(Dec 29, 2011)
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2 0.17 1.00 32 90
 
 
414
Claiming Positive Results From Negative Trials: A Cause for Concern in Randomized Controlled Trial Research - Author's Reply
Reid Hester, William Campbell, Kathryn Lenberg, Harold Delaney
J Med Internet Res 2013;15(8):e180
(Aug 19, 2013)
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1 0.09 1.00 1 20
 
 
415
User Evaluation of the Effects of a Text Simplification Algorithm Using Term Familiarity on Perception, Understanding, Learning, and Information Retention
Gondy Leroy, James E. Endicott, David Kauchak, Obay Mouradi, Melissa Just
J Med Internet Res 2013;15(7):e144
(Jul 31, 2013)
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1 0.09 0.00 1 20
 
 
416
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 0.08 0.00 19 100
 
 
417
Electronic Symptom Reporting Between Patient and Provider for Improved Health Care Service Quality: A Systematic Review of Randomized Controlled Trials. Part 2: Methodological Quality and Effects
Monika Alise Johansen, Gro K Rosvold Berntsen, Tibor Schuster, Eva Henriksen, Alexander Horsch
J Med Internet Res 2012;14(5):e126
(Oct 3, 2012)
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1 0.08 0.00 7 40
 
 
418
Utilization and Perceived Problems of Online Medical Resources and Search Tools Among Different Groups of European Physicians
Marlene Kritz, Manfred Gschwandtner, Veronika Stefanov, Allan Hanbury, Matthias Samwald
J Med Internet Res 2013;15(6):e122
(Jun 26, 2013)
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1 0.08 0.00 16 70
 
 
419
Effects of Internet Use on Health and Depression: A Longitudinal Study
Katie Bessière, Sarah Pressman, Sara Kiesler, Robert Kraut
J Med Internet Res 2010;12(1):e6
(Mar 12, 2010)
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1 0.08 0.00 14 60
 
 
420
Efficacy of Standard Versus Enhanced Features in a Web-Based Commercial Weight-Loss Program for Obese Adults, Part 2: Randomized Controlled Trial
Clare E Collins, Philip J Morgan, Melinda J Hutchesson, Robin Callister
J Med Internet Res 2013;15(7):e140
(Jul 22, 2013)
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1 0.08 0.00 5 45
 
 
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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.