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Hippocampal Neurogenesis Reduces the Dimensionality of Sparsely Coded Representations to Enhance Memory Encoding

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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14 X users

Citations

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8 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Hippocampal Neurogenesis Reduces the Dimensionality of Sparsely Coded Representations to Enhance Memory Encoding
Published in
Frontiers in Computational Neuroscience, January 2019
DOI 10.3389/fncom.2018.00099
Pubmed ID
Authors

Anthony J. DeCostanzo, Chi Chung Alan Fung, Tomoki Fukai

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 7 15%
Student > Bachelor 5 10%
Student > Master 5 10%
Professor 3 6%
Other 4 8%
Unknown 16 33%
Readers by discipline Count As %
Neuroscience 20 42%
Biochemistry, Genetics and Molecular Biology 2 4%
Agricultural and Biological Sciences 2 4%
Physics and Astronomy 2 4%
Psychology 2 4%
Other 4 8%
Unknown 16 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 January 2019.
All research outputs
#4,581,441
of 23,122,481 outputs
Outputs from Frontiers in Computational Neuroscience
#206
of 1,359 outputs
Outputs of similar age
#104,553
of 437,003 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 27 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,359 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 84% 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 437,003 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 75% of its contemporaries.
We're also able to compare this research output to 27 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.