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How close are integrable and nonintegrable models: A parametric case study based on the Salerno model

Overview of attention for article published in Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, February 2023
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Title
How close are integrable and nonintegrable models: A parametric case study based on the Salerno model
Published in
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, February 2023
DOI 10.1103/physreve.107.024202
Pubmed ID
Authors

Thudiyangal Mithun, Aleksandra Maluckov, Ana Mančić, Avinash Khare, Panayotis G Kevrekidis

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Unknown 1 50%
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 04 October 2022.
All research outputs
#22,849,720
of 25,478,886 outputs
Outputs from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#16,193
of 21,035 outputs
Outputs of similar age
#406,131
of 474,754 outputs
Outputs of similar age from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#230
of 309 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,035 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 474,754 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.