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Clustering of Neural Activity: A Design Principle for Population Codes

Overview of attention for article published in Frontiers in Computational Neuroscience, March 2020
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

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9 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Clustering of Neural Activity: A Design Principle for Population Codes
Published in
Frontiers in Computational Neuroscience, March 2020
DOI 10.3389/fncom.2020.00020
Pubmed ID
Authors

Michael J. Berry, Gašper Tkačik

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 11 21%
Student > Bachelor 6 11%
Student > Master 4 8%
Professor 2 4%
Other 5 9%
Unknown 11 21%
Readers by discipline Count As %
Neuroscience 21 40%
Agricultural and Biological Sciences 6 11%
Engineering 3 6%
Computer Science 2 4%
Mathematics 2 4%
Other 6 11%
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 15 April 2020.
All research outputs
#15,074,573
of 25,622,179 outputs
Outputs from Frontiers in Computational Neuroscience
#575
of 1,472 outputs
Outputs of similar age
#198,231
of 391,025 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#21
of 29 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 59% 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 391,025 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.