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An information theoretic score for learning hierarchical concepts

Overview of attention for article published in Frontiers in Computational Neuroscience, May 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
7 Mendeley
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Title
An information theoretic score for learning hierarchical concepts
Published in
Frontiers in Computational Neuroscience, May 2023
DOI 10.3389/fncom.2023.1082502
Pubmed ID
Authors

Omid Madani

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 29%
Researcher 1 14%
Unknown 4 57%
Readers by discipline Count As %
Nursing and Health Professions 1 14%
Business, Management and Accounting 1 14%
Neuroscience 1 14%
Unknown 4 57%
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 20 May 2023.
All research outputs
#16,113,382
of 25,935,829 outputs
Outputs from Frontiers in Computational Neuroscience
#683
of 1,478 outputs
Outputs of similar age
#204,667
of 412,527 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 23 outputs
Altmetric has tracked 25,935,829 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,478 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 50% 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 412,527 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 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.