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Optimizing intensive care capacity using individual length-of-stay prediction models

Overview of attention for article published in Critical Care, March 2007
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Mentioned by

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1 X user

Citations

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20 Dimensions

Readers on

mendeley
77 Mendeley
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1 CiteULike
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Title
Optimizing intensive care capacity using individual length-of-stay prediction models
Published in
Critical Care, March 2007
DOI 10.1186/cc5730
Pubmed ID
Authors

Mark Van Houdenhoven, Duy-Tien Nguyen, Marinus J Eijkemans, Ewout W Steyerberg, Hugo W Tilanus, Diederik Gommers, Gerhard Wullink, Jan Bakker, Geert Kazemier

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

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Brazil 1 1%
Unknown 74 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Student > Master 11 14%
Other 10 13%
Researcher 8 10%
Student > Doctoral Student 4 5%
Other 12 16%
Unknown 15 19%
Readers by discipline Count As %
Medicine and Dentistry 33 43%
Computer Science 10 13%
Engineering 7 9%
Agricultural and Biological Sciences 3 4%
Economics, Econometrics and Finance 2 3%
Other 7 9%
Unknown 15 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 03 January 2021.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Critical Care
#5,970
of 6,554 outputs
Outputs of similar age
#85,883
of 91,610 outputs
Outputs of similar age from Critical Care
#35
of 43 outputs
Altmetric has tracked 25,371,288 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 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 2nd percentile – i.e., 2% 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 91,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.