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An emergent temporal basis set robustly supports cerebellar time-series learning

Overview of attention for article published in Journal of Neurophysiology, November 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
22 X users
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
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Title
An emergent temporal basis set robustly supports cerebellar time-series learning
Published in
Journal of Neurophysiology, November 2022
DOI 10.1152/jn.00312.2022
Pubmed ID
Authors

Jesse I Gilmer, Michael A Farries, Zachary Kilpatrick, Ioannis Delis, Jeremy D Cohen, Abigail L Person

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 2 20%
Student > Bachelor 1 10%
Researcher 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Engineering 2 20%
Neuroscience 2 20%
Agricultural and Biological Sciences 1 10%
Business, Management and Accounting 1 10%
Medicine and Dentistry 1 10%
Other 0 0%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 27 November 2023.
All research outputs
#2,647,279
of 25,617,409 outputs
Outputs from Journal of Neurophysiology
#458
of 8,451 outputs
Outputs of similar age
#55,404
of 490,632 outputs
Outputs of similar age from Journal of Neurophysiology
#6
of 69 outputs
Altmetric has tracked 25,617,409 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,451 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 490,632 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.