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Development of an EORTC-8D Utility Algorithm for Sri Lanka

Overview of attention for article published in Medical Decision Making, November 2014
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1 X user

Citations

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6 Dimensions

Readers on

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39 Mendeley
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Title
Development of an EORTC-8D Utility Algorithm for Sri Lanka
Published in
Medical Decision Making, November 2014
DOI 10.1177/0272989x14559274
Pubmed ID
Authors

Sanjeewa Kularatna, Jennifer A Whitty, Newell W Johnson, Ruwan Jayasinghe, Paul A Scuffham

X Demographics

X Demographics

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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 6 15%
Student > Master 6 15%
Student > Postgraduate 2 5%
Professor 2 5%
Other 9 23%
Unknown 4 10%
Readers by discipline Count As %
Medicine and Dentistry 12 31%
Psychology 7 18%
Nursing and Health Professions 3 8%
Economics, Econometrics and Finance 3 8%
Social Sciences 3 8%
Other 4 10%
Unknown 7 18%
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 18 November 2014.
All research outputs
#18,383,471
of 22,770,070 outputs
Outputs from Medical Decision Making
#1,234
of 1,367 outputs
Outputs of similar age
#260,159
of 360,537 outputs
Outputs of similar age from Medical Decision Making
#22
of 26 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,367 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 3rd percentile – i.e., 3% 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 360,537 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.