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Unsupervised Learning of Persistent and Sequential Activity

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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22 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Unsupervised Learning of Persistent and Sequential Activity
Published in
Frontiers in Computational Neuroscience, January 2020
DOI 10.3389/fncom.2019.00097
Pubmed ID
Authors

Ulises Pereira, Nicolas Brunel

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 31%
Researcher 12 20%
Student > Master 6 10%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 6 10%
Unknown 10 17%
Readers by discipline Count As %
Neuroscience 20 34%
Agricultural and Biological Sciences 5 8%
Physics and Astronomy 4 7%
Mathematics 3 5%
Medicine and Dentistry 3 5%
Other 12 20%
Unknown 12 20%
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 23 January 2020.
All research outputs
#17,576,385
of 26,557,909 outputs
Outputs from Frontiers in Computational Neuroscience
#825
of 1,500 outputs
Outputs of similar age
#294,448
of 484,690 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#22
of 34 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,500 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 39th percentile – i.e., 39% 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 484,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.