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Mapping EQ-5D Utility Scores from the PedsQL™ Generic Core Scales

Overview of attention for article published in PharmacoEconomics, April 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

policy
2 policy sources
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2 X users

Citations

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67 Dimensions

Readers on

mendeley
107 Mendeley
Title
Mapping EQ-5D Utility Scores from the PedsQL™ Generic Core Scales
Published in
PharmacoEconomics, April 2014
DOI 10.1007/s40273-014-0153-y
Pubmed ID
Authors

Kamran A. Khan, Stavros Petrou, Oliver Rivero-Arias, Stephen J. Walters, Spencer E. Boyle

Abstract

The Pediatric Quality of Life Inventory™ (PedsQL™) General Core Scales (GCS) were designed to provide a modular approach to measuring health-related quality of life in healthy children, as well as those with acute and chronic health conditions, across the broadest, empirically feasible, age groups (2-18 years). Currently, it is not possible to estimate health utilities based on the PedsQL™ GCS, either directly or indirectly. This paper assesses different mapping methods for estimating EQ-5D health utilities from PedsQL™ GCS responses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 3%
United Kingdom 2 2%
Brazil 1 <1%
Unknown 101 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 25%
Student > Master 22 21%
Other 11 10%
Student > Ph. D. Student 7 7%
Student > Bachelor 6 6%
Other 15 14%
Unknown 19 18%
Readers by discipline Count As %
Medicine and Dentistry 32 30%
Economics, Econometrics and Finance 14 13%
Pharmacology, Toxicology and Pharmaceutical Science 8 7%
Agricultural and Biological Sciences 5 5%
Nursing and Health Professions 4 4%
Other 20 19%
Unknown 24 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 December 2023.
All research outputs
#4,180,369
of 22,947,506 outputs
Outputs from PharmacoEconomics
#422
of 1,855 outputs
Outputs of similar age
#42,089
of 228,629 outputs
Outputs of similar age from PharmacoEconomics
#7
of 29 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,855 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 77% of its peers.
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 228,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.