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A flexible simulation platform to quantify and manage emergency department crowding

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
14 X users
facebook
3 Facebook pages

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
90 Mendeley
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Title
A flexible simulation platform to quantify and manage emergency department crowding
Published in
BMC Medical Informatics and Decision Making, June 2014
DOI 10.1186/1472-6947-14-50
Pubmed ID
Authors

Joshua E Hurwitz, Jo Ann Lee, Kenneth K Lopiano, Scott A McKinley, James Keesling, Joseph A Tyndall

Abstract

Hospital-based Emergency Departments are struggling to provide timely care to a steadily increasing number of unscheduled ED visits. Dwindling compensation and rising ED closures dictate that meeting this challenge demands greater operational efficiency.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 24%
Student > Ph. D. Student 16 18%
Researcher 9 10%
Student > Doctoral Student 5 6%
Professor 5 6%
Other 14 16%
Unknown 19 21%
Readers by discipline Count As %
Engineering 14 16%
Medicine and Dentistry 13 14%
Business, Management and Accounting 8 9%
Computer Science 6 7%
Nursing and Health Professions 5 6%
Other 16 18%
Unknown 28 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 27 July 2014.
All research outputs
#1,397,755
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#58
of 2,025 outputs
Outputs of similar age
#14,478
of 230,635 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 26 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 97% 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 230,635 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 93% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.