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Automated alert and activation of medical emergency team using early warning score

Overview of attention for article published in Journal of Intensive Care, December 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Automated alert and activation of medical emergency team using early warning score
Published in
Journal of Intensive Care, December 2021
DOI 10.1186/s40560-021-00588-y
Pubmed ID
Authors

Soo Jin Na, Ryoung-Eun Ko, Myeong Gyun Ko, Kyeongman Jeon

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 33%
Student > Master 5 14%
Other 1 3%
Student > Bachelor 1 3%
Lecturer 1 3%
Other 2 6%
Unknown 14 39%
Readers by discipline Count As %
Unspecified 12 33%
Medicine and Dentistry 6 17%
Nursing and Health Professions 3 8%
Computer Science 1 3%
Unknown 14 39%
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 31 January 2022.
All research outputs
#13,228,623
of 23,025,074 outputs
Outputs from Journal of Intensive Care
#314
of 516 outputs
Outputs of similar age
#199,732
of 504,174 outputs
Outputs of similar age from Journal of Intensive Care
#11
of 13 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 516 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 38th percentile – i.e., 38% 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 504,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.