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Computational capacity of LRC, memristive, and hybrid reservoirs

Overview of attention for article published in Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, October 2022
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1 X user

Citations

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Title
Computational capacity of LRC, memristive, and hybrid reservoirs
Published in
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, October 2022
DOI 10.1103/physreve.106.045310
Pubmed ID
Authors

Forrest C. Sheldon, Artemy Kolchinsky, Francesco Caravelli

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 43%
Unspecified 2 29%
Student > Ph. D. Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Mathematics 2 29%
Computer Science 2 29%
Engineering 2 29%
Unknown 1 14%
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 18 November 2020.
All research outputs
#20,954,044
of 25,738,558 outputs
Outputs from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#12,757
of 21,127 outputs
Outputs of similar age
#326,560
of 442,727 outputs
Outputs of similar age from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#225
of 343 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,127 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% 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 442,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 343 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.