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GPU Accelerated Parallel Processing for Large-Scale Monte Carlo Analysis: COVID-19 Parameter Estimation and New Case Forecasting

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, March 2022
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
2 X users

Citations

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3 Dimensions

Readers on

mendeley
6 Mendeley
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Title
GPU Accelerated Parallel Processing for Large-Scale Monte Carlo Analysis: COVID-19 Parameter Estimation and New Case Forecasting
Published in
Frontiers in Applied Mathematics and Statistics, March 2022
DOI 10.3389/fams.2022.818016
Authors

Brad Suchoski, Steve Stage, Heidi Gurung, Prasith Baccam

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 17%
Student > Postgraduate 1 17%
Unknown 4 67%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 17%
Unknown 5 83%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 July 2022.
All research outputs
#14,858,030
of 22,882,389 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#119
of 339 outputs
Outputs of similar age
#232,053
of 438,092 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#5
of 17 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 339 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 58% 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 438,092 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.