↓ Skip to main content

CMAJ

Article Metrics

Computer-aided National Early Warning Score to predict the risk of sepsis following emergency medical admission to hospital: a model development and external validation study

Overview of attention for article published in CMAJ, April 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
15 news outlets
blogs
1 blog
twitter
24 tweeters
facebook
1 Facebook page

Readers on

mendeley
8 Mendeley
Title
Computer-aided National Early Warning Score to predict the risk of sepsis following emergency medical admission to hospital: a model development and external validation study
Published in
CMAJ, April 2019
DOI 10.1503/cmaj.181418
Pubmed ID
Authors

Muhammad Faisal, Donald Richardson, Andrew J. Scally, Robin Howes, Kevin Beatson, Kevin Speed, Mohammed A. Mohammed

Twitter Demographics

The data shown below were collected from the profiles of 24 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Researcher 2 25%
Student > Master 1 13%
Student > Doctoral Student 1 13%
Student > Postgraduate 1 13%
Other 1 13%
Readers by discipline Count As %
Medicine and Dentistry 5 63%
Agricultural and Biological Sciences 1 13%
Unspecified 1 13%
Design 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 139. 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 May 2019.
All research outputs
#99,008
of 13,022,627 outputs
Outputs from CMAJ
#236
of 5,963 outputs
Outputs of similar age
#3,752
of 247,755 outputs
Outputs of similar age from CMAJ
#12
of 99 outputs
Altmetric has tracked 13,022,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,963 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done particularly well, scoring higher than 96% 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 247,755 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.