Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
421
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
 
 
422
Physician Response Time When Communicating With Patients Over the Internet
Per Egil Kummervold, Jan-Are K Johnsen
J Med Internet Res 2011;13(4):e79
(Nov 1, 2011)
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1 0.08 0.00 27 90
 
 
423
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
 
 
424
Teaching Elderly Adults to Use the Internet to Access Health Care Information: Before-After Study
Robert J Campbell, David A Nolfi
J Med Internet Res 2005;7(2):e19
(Jun 30, 2005)
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1 0.08 0.00 0 0
 
 
425
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
 
 
426
Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem
Melanie Swan
J Med Internet Res 2012;14(2):e46
(Mar 7, 2012)
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1 0.08 0.00 65 100
 
 
427
Munchausen by Internet: Current Research and Future Directions
Andy Pulman, Jacqui Taylor
J Med Internet Res 2012;14(4):e115
(Aug 22, 2012)
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1 0.08 0.00 44 95
 
 
428
Perceptions of Family Physician Trainees and Trainers Regarding the Usefulness of a Virtual Community of Practice
Stephen Barnett, Sandra C Jones, Sue Bennett, Don Iverson, Andrew Bonney
J Med Internet Res 2013;15(5):e92
(May 10, 2013)
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1 0.08 0.00 17 75
 
 
429
Sharing Health Data for Better Outcomes on PatientsLikeMe
Paul Wicks, Michael Massagli, Jeana Frost, Catherine Brownstein, Sally Okun, Timothy Vaughan, Richard Bradley, James Heywood
J Med Internet Res 2010;12(2):e19
(Jun 14, 2010)
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1 0.08 0.00 46 95
 
 
430
Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception
Bo Liang, Debra L Scammon
J Med Internet Res 2013;15(6):e114
(Jun 17, 2013)
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1 0.08 0.00 25 85
 
 
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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.