Top Articles (Article-Level Metrics)

 
 
Rank Article Tweets Tweets per MonthA
Tweets Influence FactorB
Twimpact Factor (tw7)C Twindex7D
 
421
Tailored System to Deliver Behavioral Intervention and Manage Data in Randomized Trials
Hua Zheng, Milagros C Rosal, Carol A Oatis, Wenjun Li, Patricia D Franklin
J Med Internet Res 2013;15(4):e58
(Apr 11, 2013)
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1 0.08 0.00 3 15
 
 
422
How do Consumers Search for and Appraise Information on Medicines on the Internet? A Qualitative Study Using Focus Groups
Geraldine Peterson, Parisa Aslani, Kylie A Williams
J Med Internet Res 2003;5(4):e33
(Dec 19, 2003)
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1 0.08 0.00 0 0
 
 
423
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
 
 
424
The Effect of Program Design on Engagement With an Internet-Based Smoking Intervention: Randomized Factorial Trial
Jennifer B McClure, Susan M Shortreed, Andy Bogart, Holly Derry, Karin Riggs, Jackie St John, Vijay Nair, Larry An
J Med Internet Res 2013;15(3):e69
(Mar 25, 2013)
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1 0.08 0.00 4 10
 
 
425
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
 
 
426
What Is eHealth (3): A Systematic Review of Published Definitions
Hans Oh, Carlos Rizo, Murray Enkin, Alejandro Jadad
J Med Internet Res 2005;7(1):e1
(Feb 24, 2005)
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1 0.08 0.00 1 100
 
 
427
Self-Test Web-Based Pure-Tone Audiometry: Validity Evaluation and Measurement Error Analysis
Marcin Masalski, Tomasz Kręcicki
J Med Internet Res 2013;15(4):e71
(Apr 12, 2013)
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1 0.08 0.00 4 30
 
 
428
Analysis of the Definition and Utility of Personal Health Records Using Q Methodology
Jeongeun Kim, David W Bates
J Med Internet Res 2011;13(4):e105
(Nov 29, 2011)
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1 0.08 0.00 6 5
 
 
429
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
 
 
430
Scope of Policy Issues in eHealth: Results From a Structured Literature Review
Shariq Khoja, Hammad Durrani, Parvez Nayani, Ammad Fahim
J Med Internet Res 2012;14(1):e34
(Feb 17, 2012)
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1 0.08 0.00 13 50
 
 
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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.