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Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity

Overview of attention for article published in The Journal of Mathematical Neuroscience, April 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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5 X users

Citations

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29 Dimensions

Readers on

mendeley
52 Mendeley
Title
Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity
Published in
The Journal of Mathematical Neuroscience, April 2020
DOI 10.1186/s13408-020-00082-z
Pubmed ID
Authors

Valentin Schmutz, Wulfram Gerstner, Tilo Schwalger

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 23%
Student > Master 10 19%
Student > Ph. D. Student 9 17%
Student > Bachelor 7 13%
Other 3 6%
Other 1 2%
Unknown 10 19%
Readers by discipline Count As %
Neuroscience 21 40%
Physics and Astronomy 6 12%
Engineering 5 10%
Mathematics 3 6%
Computer Science 2 4%
Other 2 4%
Unknown 13 25%
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 12 October 2023.
All research outputs
#13,908,695
of 24,602,766 outputs
Outputs from The Journal of Mathematical Neuroscience
#18
of 77 outputs
Outputs of similar age
#174,720
of 376,067 outputs
Outputs of similar age from The Journal of Mathematical Neuroscience
#2
of 3 outputs
Altmetric has tracked 24,602,766 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 77 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 77% 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 376,067 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 52% 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.