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Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems

Overview of attention for article published in Journal of Parallel & Distributed Computing, October 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
5 Mendeley
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Title
Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems
Published in
Journal of Parallel & Distributed Computing, October 2023
DOI 10.1016/j.jpdc.2023.104715
Authors

Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 20%
Student > Ph. D. Student 1 20%
Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Social Sciences 2 40%
Computer Science 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 June 2023.
All research outputs
#14,488,785
of 25,394,764 outputs
Outputs from Journal of Parallel & Distributed Computing
#528
of 696 outputs
Outputs of similar age
#134,922
of 354,714 outputs
Outputs of similar age from Journal of Parallel & Distributed Computing
#1
of 3 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 696 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 23rd percentile – i.e., 23% 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 354,714 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 61% of its contemporaries.
We're also able to compare this research output to 3 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