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Evaluation of an algorithm for estimating a patient's life threat risk from an ambulance call

Overview of attention for article published in BMC Emergency Medicine, October 2009
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Title
Evaluation of an algorithm for estimating a patient's life threat risk from an ambulance call
Published in
BMC Emergency Medicine, October 2009
DOI 10.1186/1471-227x-9-21
Pubmed ID
Authors

Kenji Ohshige, Chihiro Kawakami, Shunsaku Mizushima, Yoshihiro Moriwaki, Noriyuki Suzuki

Abstract

Utilizing a computer algorithm, information from calls to an ambulance service was used to calculate the risk of patients being in a life-threatening condition (life threat risk), at the time of the call. If the estimated life threat risk was higher than 10%, the probability that a patient faced a risk of dying was recognized as very high and categorized as category A+. The present study aimed to review the accuracy of the algorithm.

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

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Spain 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Researcher 9 19%
Student > Bachelor 6 13%
Student > Postgraduate 5 10%
Student > Doctoral Student 3 6%
Other 8 17%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 21 44%
Nursing and Health Professions 6 13%
Computer Science 5 10%
Engineering 3 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 8%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 March 2012.
All research outputs
#13,889,627
of 23,652,325 outputs
Outputs from BMC Emergency Medicine
#410
of 785 outputs
Outputs of similar age
#77,082
of 95,719 outputs
Outputs of similar age from BMC Emergency Medicine
#2
of 4 outputs
Altmetric has tracked 23,652,325 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 785 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 47th percentile – i.e., 47% 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 95,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.