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On the encoding of natural music in computational models and human brains

Overview of attention for article published in Frontiers in Neuroscience, September 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
On the encoding of natural music in computational models and human brains
Published in
Frontiers in Neuroscience, September 2022
DOI 10.3389/fnins.2022.928841
Pubmed ID
Authors

Seung-Goo Kim

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 %
Researcher 2 20%
Student > Doctoral Student 2 20%
Student > Ph. D. Student 1 10%
Unspecified 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Neuroscience 3 30%
Psychology 1 10%
Unspecified 1 10%
Chemistry 1 10%
Engineering 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 6. 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 31 October 2023.
All research outputs
#6,486,477
of 25,622,179 outputs
Outputs from Frontiers in Neuroscience
#4,309
of 11,639 outputs
Outputs of similar age
#115,362
of 436,278 outputs
Outputs of similar age from Frontiers in Neuroscience
#105
of 455 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 62% 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 436,278 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 455 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.