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Patient and hospital characteristics predict prolonged emergency department length of stay and in-hospital mortality: a nationwide analysis in Korea

Overview of attention for article published in BMC Emergency Medicine, November 2022
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Patient and hospital characteristics predict prolonged emergency department length of stay and in-hospital mortality: a nationwide analysis in Korea
Published in
BMC Emergency Medicine, November 2022
DOI 10.1186/s12873-022-00745-y
Pubmed ID
Authors

Kyung-Shin Lee, Hye Sook Min, Jae Young Moon, Daesung Lim, Younghwan Kim, Eunsil Ko, You Sun Kim, Joohae Kim, Jeehye Lee, Ho Kyung Sung

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 7%
Student > Master 2 5%
Researcher 2 5%
Lecturer 2 5%
Student > Bachelor 2 5%
Other 7 17%
Unknown 23 56%
Readers by discipline Count As %
Medicine and Dentistry 8 20%
Nursing and Health Professions 4 10%
Engineering 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Sports and Recreations 1 2%
Other 3 7%
Unknown 22 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 07 December 2022.
All research outputs
#2,976,299
of 23,947,581 outputs
Outputs from BMC Emergency Medicine
#128
of 792 outputs
Outputs of similar age
#60,933
of 464,405 outputs
Outputs of similar age from BMC Emergency Medicine
#5
of 28 outputs
Altmetric has tracked 23,947,581 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 792 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 83% 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 464,405 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 86% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.