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Emergency department triage prediction of clinical outcomes using machine learning models

Overview of attention for article published in Critical Care, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
1 blog
twitter
23 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
162 Dimensions

Readers on

mendeley
337 Mendeley
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Title
Emergency department triage prediction of clinical outcomes using machine learning models
Published in
Critical Care, February 2019
DOI 10.1186/s13054-019-2351-7
Authors

Yoshihiko Raita, Tadahiro Goto, Mohammad Kamal Faridi, David F. M. Brown, Carlos A. Camargo, Kohei Hasegawa

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters 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 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 337 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 14%
Student > Master 32 9%
Student > Bachelor 29 9%
Student > Ph. D. Student 28 8%
Other 20 6%
Other 70 21%
Unknown 112 33%
Readers by discipline Count As %
Medicine and Dentistry 81 24%
Computer Science 34 10%
Nursing and Health Professions 26 8%
Engineering 25 7%
Social Sciences 7 2%
Other 44 13%
Unknown 120 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 29 April 2021.
All research outputs
#1,401,972
of 21,883,793 outputs
Outputs from Critical Care
#1,266
of 5,891 outputs
Outputs of similar age
#31,094
of 286,082 outputs
Outputs of similar age from Critical Care
#1
of 2 outputs
Altmetric has tracked 21,883,793 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has done well, scoring higher than 78% of its peers.
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 286,082 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them