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Prediction of patients requiring intensive care for COVID-19: development and validation of an integer-based score using data from Centers for Disease Control and Prevention of South Korea

Overview of attention for article published in Journal of Intensive Care, January 2021
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
3 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
122 Mendeley
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Title
Prediction of patients requiring intensive care for COVID-19: development and validation of an integer-based score using data from Centers for Disease Control and Prevention of South Korea
Published in
Journal of Intensive Care, January 2021
DOI 10.1186/s40560-021-00527-x
Pubmed ID
Authors

JoonNyung Heo, Deokjae Han, Hyung-Jun Kim, Daehyun Kim, Yeon-Kyeng Lee, Dosang Lim, Sung Ok Hong, Mi-Jin Park, Beomman Ha, Woong Seog

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

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 16 13%
Student > Bachelor 13 11%
Student > Master 12 10%
Researcher 7 6%
Other 5 4%
Other 27 22%
Unknown 42 34%
Readers by discipline Count As %
Medicine and Dentistry 32 26%
Unspecified 16 13%
Nursing and Health Professions 9 7%
Biochemistry, Genetics and Molecular Biology 4 3%
Computer Science 3 2%
Other 12 10%
Unknown 46 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 May 2022.
All research outputs
#2,758,114
of 25,413,176 outputs
Outputs from Journal of Intensive Care
#138
of 580 outputs
Outputs of similar age
#76,150
of 526,303 outputs
Outputs of similar age from Journal of Intensive Care
#6
of 22 outputs
Altmetric has tracked 25,413,176 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 580 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 76% 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 526,303 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 85% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.