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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 (55th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
42 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

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Master 9 21%
Student > Ph. D. Student 9 21%
Student > Bachelor 5 12%
Other 2 5%
Other 1 2%
Unknown 5 12%
Readers by discipline Count As %
Neuroscience 18 43%
Physics and Astronomy 5 12%
Engineering 4 10%
Mathematics 3 7%
Computer Science 2 5%
Other 2 5%
Unknown 8 19%

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 24 January 2021.
All research outputs
#6,991,774
of 21,545,543 outputs
Outputs from The Journal of Mathematical Neuroscience
#15
of 81 outputs
Outputs of similar age
#122,779
of 296,563 outputs
Outputs of similar age from The Journal of Mathematical Neuroscience
#1
of 1 outputs
Altmetric has tracked 21,545,543 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 81% 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 296,563 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 55% of its contemporaries.
We're also able to compare this research output to 1 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