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The Use of Artificial Neural Networks to Forecast the Behavior of Agent-Based Models of Pathophysiology: An Example Utilizing an Agent-Based Model of Sepsis

Overview of attention for article published in Frontiers in Physiology, October 2021
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Mentioned by

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2 X users

Citations

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Readers on

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31 Mendeley
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Title
The Use of Artificial Neural Networks to Forecast the Behavior of Agent-Based Models of Pathophysiology: An Example Utilizing an Agent-Based Model of Sepsis
Published in
Frontiers in Physiology, October 2021
DOI 10.3389/fphys.2021.716434
Pubmed ID
Authors

Dale Larie, Gary An, R. Chase Cockrell

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Unspecified 4 13%
Lecturer 4 13%
Student > Bachelor 3 10%
Student > Master 2 6%
Other 3 10%
Unknown 10 32%
Readers by discipline Count As %
Unspecified 7 23%
Computer Science 5 16%
Linguistics 1 3%
Agricultural and Biological Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 13%
Unknown 12 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 September 2024.
All research outputs
#20,955,017
of 26,626,138 outputs
Outputs from Frontiers in Physiology
#8,425
of 15,916 outputs
Outputs of similar age
#317,297
of 444,491 outputs
Outputs of similar age from Frontiers in Physiology
#381
of 712 outputs
Altmetric has tracked 26,626,138 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,916 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 39th percentile – i.e., 39% 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 444,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 712 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.