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Emerging phenomena in neural networks with dynamic synapses and their computational implications

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
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1 X user

Citations

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16 Dimensions

Readers on

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68 Mendeley
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2 CiteULike
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Title
Emerging phenomena in neural networks with dynamic synapses and their computational implications
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00030
Pubmed ID
Authors

Joaquin J. Torres, Hilbert J. Kappen

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

Geographical breakdown

Country Count As %
United States 6 9%
United Kingdom 1 1%
Spain 1 1%
Belarus 1 1%
Unknown 59 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Researcher 13 19%
Student > Master 12 18%
Student > Postgraduate 5 7%
Professor 4 6%
Other 8 12%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 25%
Neuroscience 11 16%
Computer Science 8 12%
Psychology 5 7%
Physics and Astronomy 5 7%
Other 14 21%
Unknown 8 12%
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 22 March 2023.
All research outputs
#20,788,175
of 25,540,105 outputs
Outputs from Frontiers in Computational Neuroscience
#1,118
of 1,469 outputs
Outputs of similar age
#229,659
of 289,755 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#94
of 139 outputs
Altmetric has tracked 25,540,105 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,469 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 15th percentile – i.e., 15% 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 289,755 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 139 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.