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Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Construction of a demand and capacity model for intensive care and hospital ward beds, and mortality from COVID-19
Published in
BMC Medical Informatics and Decision Making, April 2021
DOI 10.1186/s12911-021-01504-y
Authors

Christopher Martin, Stuart McDonald, Steve Bale, Michiel Luteijn, Rahul Sarkar

Twitter Demographics

The data shown below were collected from the profiles of 6 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 19%
Researcher 2 13%
Student > Bachelor 2 13%
Lecturer > Senior Lecturer 1 6%
Student > Master 1 6%
Other 3 19%
Unknown 4 25%
Readers by discipline Count As %
Nursing and Health Professions 5 31%
Medicine and Dentistry 4 25%
Social Sciences 2 13%
Unknown 5 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 July 2021.
All research outputs
#4,436,968
of 18,204,576 outputs
Outputs from BMC Medical Informatics and Decision Making
#396
of 1,650 outputs
Outputs of similar age
#94,714
of 329,546 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 7 outputs
Altmetric has tracked 18,204,576 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,650 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 75% 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 329,546 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 71% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them