Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets
Influence
Factor
B
Twimpact Factor (tw7)C Twindex7D
 
441
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
 
 
442
Internet-based Patient Self-care: The Next Generation of Health Care Delivery
June Forkner-Dunn
J Med Internet Res 2003;5(2):e8
(May 15, 2003)
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1 0.08 0.00 0 0
 
 
443
Motivators and Motivations to Persist With Online Psychological Interventions: A Qualitative Study of Treatment Completers
Liesje Donkin, Nick Glozier
J Med Internet Res 2012;14(3):e91
(Jun 22, 2012)
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1 0.08 0.00 6 15
 
 
444
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
 
 
445
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
 
 
446
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
 
 
447
Differences in Reach and Attrition Between Web-Based and Print-Delivered Tailored Interventions Among Adults over 50 Years of Age: Clustered Randomized Trial
Denise Astrid Peels, Catherine Bolman, Rianne Henrica Johanna Golsteijn, Hein De Vries, Aart Nicolaas Mudde, Maartje Marieke van Stralen, Lilian Lechner
J Med Internet Res 2012;14(6):e179
(Dec 17, 2012)
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1 0.08 0.00 7 55
 
 
448
Comparison of Text and Video Computer-Tailored Interventions for Smoking Cessation: Randomized Controlled Trial
Nicola Stanczyk, Catherine Bolman, Mathieu van Adrichem, Math Candel, Jean Muris, Hein de Vries
J Med Internet Res 2014;16(3):e69
(Mar 3, 2014)
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1 0.15 0.00 0 0
 
 
449
Computing Health Quality Measures Using Informatics for Integrating Biology and the Bedside
Jeffrey G. Klann, Shawn N. Murphy
J Med Internet Res 2013;15(4):e75
(Apr 19, 2013)
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1 0.08 0.00 6 45
 
 
450
Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation
Theresa Marie Bernardo, Andrijana Rajic, Ian Young, Katie Robiadek, Mai T Pham, Julie A Funk
J Med Internet Res 2013;15(7):e147
(Jul 18, 2013)
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1 0.08 0.00 20 90
 
 
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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.