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Estimation of utility values from visual analog scale measures of health in patients undergoing cardiac surgery

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, January 2014
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Title
Estimation of utility values from visual analog scale measures of health in patients undergoing cardiac surgery
Published in
ClinicoEconomics and Outcomes Research: CEOR, January 2014
DOI 10.2147/ceor.s55899
Pubmed ID
Authors

Lars Oddershede, Jan Jesper Andreasen, Lars Ehlers

Abstract

In health economic evaluations, mapping can be used to estimate utility values from other health outcomes in order to calculate quality adjusted life-years. Currently, no methods exist to map visual analog scale (VAS) scores to utility values. This study aimed to develop and propose a statistical algorithm for mapping five dimensions of health, measured on VASs, to utility scores in patients suffering from cardiovascular disease.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Indonesia 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 9 21%
Student > Master 8 19%
Student > Doctoral Student 4 10%
Student > Postgraduate 2 5%
Other 3 7%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 13 31%
Economics, Econometrics and Finance 6 14%
Nursing and Health Professions 5 12%
Agricultural and Biological Sciences 2 5%
Mathematics 1 2%
Other 7 17%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2014.
All research outputs
#20,817,194
of 25,576,801 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#429
of 514 outputs
Outputs of similar age
#244,197
of 320,210 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#11
of 12 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.