Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
471
Security Considerations for E-Mental Health Interventions
Kylie Bennett, Anthony James Bennett, Kathleen Margaret Griffiths
J Med Internet Res 2010;12(5):e61
(Dec 19, 2010)
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1 0.08 0.00 5 50
 
 
472
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
 
 
473
The Computer-Assisted Brief Intervention for Tobacco (CABIT) Program: A Pilot Study
Edwin D Boudreaux, Kristyna L Bedek, Nelson J Byrne, Brigitte M Baumann, Sherrill A Lord, Grant Grissom
J Med Internet Res 2012;14(6):e163
(Dec 3, 2012)
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1 0.08 0.00 6 50
 
 
474
Silence is Golden: Effect of Encouragement in Motivating the Weak Link in an Online Exercise Video Game
Brandon C Irwin, Deborah L Feltz, Norbert L Kerr
J Med Internet Res 2013;15(6):e104
(Jun 4, 2013)
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1 0.08 0.00 5 35
 
 
475
Using Metrics to Describe the Participative Stances of Members Within Discussion Forums
Ray Jones, Siobhan Sharkey, Janet Smithson, Tamsin Ford, Tobit Emmens, Elaine Hewis, Bryony Sheaves, Christabel Owens
J Med Internet Res 2011;13(1):e3
(Jan 10, 2011)
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1 0.08 0.00 8 80
 
 
476
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
 
 
477
Why Business Modeling is Crucial in the Development of eHealth Technologies
Maarten van Limburg, Julia EWC van Gemert-Pijnen, Nicol Nijland, Hans C Ossebaard, Ron MG Hendrix, Erwin R Seydel
J Med Internet Res 2011;13(4):e124
(Dec 28, 2011)
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1 0.08 0.00 27 85
 
 
478
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
 
 
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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.