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Preventable mortality evaluation in the ICU

Overview of attention for article published in Critical Care, December 2012
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1 tweeter

Citations

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39 Mendeley
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Title
Preventable mortality evaluation in the ICU
Published in
Critical Care, December 2012
DOI 10.1186/cc11212
Pubmed ID
Authors

L Marjon Dijkema, Willem Dieperink, Matijs van Meurs, Jan G Zijlstra, Dijkema LM, Dieperink W, van Meurs M, Zijlstra JG

Abstract

Mortality is the most widely measured outcome parameter. Improvement of this outcome parameter in critical care is nowadays expected not to come from new technologies or treatment, but from delivering the right care at the right moment in a safe way. The measurement of mortality as an outcome parameter confronts us with a problem in providing follow-up to the results. Especially when proven structure and process interventions are applied already, the cause of a suboptimal performance cannot be deduced easily. One possibility is to evaluate the causes of death and to judge preventability. In this article we explore the opportunities and difficulties of a tool to evaluate preventable mortality in the ICU.

Twitter Demographics

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

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 %
Brazil 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Professor 7 18%
Other 4 10%
Professor > Associate Professor 4 10%
Student > Master 3 8%
Other 6 15%
Unknown 8 21%
Readers by discipline Count As %
Medicine and Dentistry 24 62%
Engineering 3 8%
Psychology 2 5%
Agricultural and Biological Sciences 2 5%
Unknown 8 21%

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 30 April 2012.
All research outputs
#7,036,930
of 9,233,965 outputs
Outputs from Critical Care
#3,086
of 3,538 outputs
Outputs of similar age
#64,518
of 95,626 outputs
Outputs of similar age from Critical Care
#85
of 124 outputs
Altmetric has tracked 9,233,965 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 4th percentile – i.e., 4% 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 95,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.