Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
 Tweets Influence FactorB
 Twimpact Factor (tw7)C Twindex7D
 
491
A Web-Based Multidrug-Resistant Organisms Surveillance and Outbreak Detection System with Rule-Based Classification and Clustering
Yi-Ju Tseng, Jung-Hsuan Wu, Xiao-Ou Ping, Hui-Chi Lin, Ying-Yu Chen, Rung-Ji Shang, Ming-Yuan Chen, Feipei Lai, Yee-Chun Chen
J Med Internet Res 2012;14(5):e131
(Oct 24, 2012)
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7 0.92 6.00 7 20
 
 
492
Who Participates in Web-Assisted Tobacco Interventions? The Quit-Primo and National Dental Practice-Based Research Network Hi-Quit Studies
Rajani Shankar Sadasivam, Rebecca L Kinney, Kathryn Delaughter, Sowmya R Rao, Jessica Hillman Williams, Heather L Coley, Midge N Ray, Gregg H Gilbert, Jeroan J Allison, Daniel E Ford, Thomas K Houston, The National Dental PBRN And QUIT-PRIMO Collaborative Groups
J Med Internet Res 2013;15(5):e77
(May 1, 2013)
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7 4.52 6.00 7 35
 
 
493
How "Community" Matters for How People Interact With Information: Mixed Methods Study of Young Men Who Have Sex With Other Men
Tiffany Christine Veinot, Chrysta Cathleen Meadowbrooke, Jimena Loveluck, Andrew Hickok, Jose Artruro Bauermeister
J Med Internet Res 2013;15(2):e33
(Feb 21, 2013)
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7 1.85 6.00 7 30
 
 
494
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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7 1.19 6.00 7 40
 
 
495
Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection
Daniel R Saunders, Peter J Bex, Russell L Woods
J Med Internet Res 2013;15(5):e100
(May 20, 2013)
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7 7.48 6.00 6 25
 
 
496
Clinicians’ Perspectives on a Web-Based System for Routine Outcome Monitoring in Old-Age Psychiatry in the Netherlands
Marjolein A Veerbeek, Richard C Oude Voshaar, Anne Margriet Pot
J Med Internet Res 2012;14(3):e76
(May 30, 2012)
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7 0.57 6.00 7 10
 
 
497
Development of an Interactive, Web-Delivered System to Increase Provider–Patient Engagement in Smoking Cessation
Rajani S Sadasivam, Kathryn Delaughter, Katie Crenshaw, Heather J Sobko, Jessica H Williams, Heather L Coley, Midge N Ray, Daniel E Ford, Jeroan J Allison, Thomas K Houston
J Med Internet Res 2011;13(4):e87
(Oct 18, 2011)
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7 0.36 1.00 7 15
 
 
498
A Multidimensional View of Personal Health Systems for Underserved Populations
Thomas A Horan, Nathan E Botts, Richard J Burkhard
J Med Internet Res 2010;12(3):e32
(Aug 4, 2010)
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6 0.18 30.00 5 0
 
 
499
Rural eHealth Nutrition Education for Limited-Income Families: An Iterative and User-Centered Design Approach
Nancy L Atkinson, Sandra L Saperstein, Sharon M Desmond, Robert S Gold, Amy S Billing, Jing Tian
J Med Internet Res 2009;11(2):e21
(Jun 23, 2009)
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6 0.13 24.00 3 45
 
 
500
Effectiveness of a Web-Based Self-Help Intervention for Symptoms of Depression, Anxiety, and Stress: Randomized Controlled Trial
Annemieke van Straten, Pim Cuijpers, Niels Smits
J Med Internet Res 2008;10(1):e7
(Mar 25, 2008)
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6 0.10 20.00 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