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Avalanches in a Stochastic Model of Spiking Neurons

Overview of attention for article published in PLoS Computational Biology, July 2010
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1 X user

Citations

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171 Dimensions

Readers on

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243 Mendeley
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2 CiteULike
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Title
Avalanches in a Stochastic Model of Spiking Neurons
Published in
PLoS Computational Biology, July 2010
DOI 10.1371/journal.pcbi.1000846
Pubmed ID
Authors

Marc Benayoun, Jack D. Cowan, Wim van Drongelen, Edward Wallace

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

Geographical breakdown

Country Count As %
United States 10 4%
Germany 4 2%
United Kingdom 3 1%
Switzerland 2 <1%
France 2 <1%
India 1 <1%
Finland 1 <1%
Argentina 1 <1%
Singapore 1 <1%
Other 2 <1%
Unknown 216 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 29%
Researcher 59 24%
Student > Master 25 10%
Professor > Associate Professor 22 9%
Student > Bachelor 12 5%
Other 36 15%
Unknown 19 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 23%
Physics and Astronomy 43 18%
Neuroscience 34 14%
Engineering 29 12%
Computer Science 13 5%
Other 38 16%
Unknown 31 13%
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 15 November 2022.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#7,480
of 8,960 outputs
Outputs of similar age
#85,661
of 104,612 outputs
Outputs of similar age from PLoS Computational Biology
#43
of 61 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% 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 104,612 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.