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Synchronization and resilience in the Kuramoto white matter network model with adaptive state-dependent delays

Overview of attention for article published in The Journal of Mathematical Neuroscience, September 2020
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Mentioned by

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2 X users

Citations

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Readers on

mendeley
23 Mendeley
Title
Synchronization and resilience in the Kuramoto white matter network model with adaptive state-dependent delays
Published in
The Journal of Mathematical Neuroscience, September 2020
DOI 10.1186/s13408-020-00091-y
Pubmed ID
Authors

Seong Hyun Park, Jérémie Lefebvre

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 4 17%
Student > Doctoral Student 2 9%
Other 2 9%
Student > Ph. D. Student 2 9%
Other 4 17%
Unknown 5 22%
Readers by discipline Count As %
Neuroscience 6 26%
Mathematics 2 9%
Computer Science 2 9%
Engineering 2 9%
Psychology 1 4%
Other 4 17%
Unknown 6 26%
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 08 September 2023.
All research outputs
#16,038,282
of 24,404,997 outputs
Outputs from The Journal of Mathematical Neuroscience
#33
of 78 outputs
Outputs of similar age
#227,182
of 380,932 outputs
Outputs of similar age from The Journal of Mathematical Neuroscience
#2
of 4 outputs
Altmetric has tracked 24,404,997 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 78 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 55% 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 380,932 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.