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How well do principal diagnosis classifications predict disability 12 months postinjury?

Overview of attention for article published in Injury Prevention, March 2014
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2 X users
facebook
1 Facebook page

Readers on

mendeley
38 Mendeley
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Article details
Title
How well do principal diagnosis classifications predict disability 12 months postinjury?
Published in
Injury Prevention, March 2014
DOI 10.1136/injuryprev-2013-041037
Pubmed ID
Authors
Abstract

The application of disability weights by nature of injury is central to the calculation of disability-adjusted life years (DALYs). Such weights should represent injury diagnosis groups that demonstrate homogeneity in disability outcomes. Existing classifications have not used empirical data in their development to inform groups that are homogeneous for disability outcomes, limiting the capacity to make informed recommendations for best practice in measuring injury burden.

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Spain 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Student > Doctoral Student 5 13%
Researcher 5 13%
Student > Bachelor 4 11%
Student > Master 4 11%
Other 8 21%
Unknown 6 16%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 34%
Nursing and Health Professions 6 16%
Psychology 4 11%
Business, Management and Accounting 1 3%
Agricultural and Biological Sciences 1 3%
Other 4 11%
Unknown 9 24%
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 25 March 2015.
All research outputs
#15,690,772
of 23,316,003 outputs
Outputs from Injury Prevention
#1,573
of 1,895 outputs
Outputs of similar age
#133,627
of 225,882 outputs
Outputs of similar age from Injury Prevention
#16
of 24 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,895 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.0. This one is in the 9th percentile – i.e., 9% 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 225,882 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.