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A high throughput generative vector autoregression model for stochastic synapses

Overview of attention for article published in Frontiers in Neuroscience, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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2 X users

Readers on

mendeley
7 Mendeley
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Title
A high throughput generative vector autoregression model for stochastic synapses
Published in
Frontiers in Neuroscience, August 2022
DOI 10.3389/fnins.2022.941753
Pubmed ID
Authors

Tyler Hennen, Alexander Elias, Jean-François Nodin, Gabriel Molas, Rainer Waser, Dirk J. Wouters, Daniel Bedau

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Professor 1 14%
Researcher 1 14%
Unknown 3 43%
Readers by discipline Count As %
Engineering 2 29%
Materials Science 1 14%
Physics and Astronomy 1 14%
Unknown 3 43%
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 17 February 2023.
All research outputs
#15,532,577
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#6,612
of 11,543 outputs
Outputs of similar age
#201,674
of 431,340 outputs
Outputs of similar age from Frontiers in Neuroscience
#206
of 480 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 42nd percentile – i.e., 42% 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 431,340 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 51% of its contemporaries.
We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.