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Review of computational neuroaesthetics: bridging the gap between neuroaesthetics and computer science

Overview of attention for article published in Brain Informatics, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 106)
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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Citations

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13 Dimensions

Readers on

mendeley
62 Mendeley
Title
Review of computational neuroaesthetics: bridging the gap between neuroaesthetics and computer science
Published in
Brain Informatics, November 2020
DOI 10.1186/s40708-020-00118-w
Pubmed ID
Authors

Rui Li, Junsong Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 10%
Researcher 5 8%
Student > Bachelor 4 6%
Student > Doctoral Student 4 6%
Other 3 5%
Other 10 16%
Unknown 30 48%
Readers by discipline Count As %
Psychology 7 11%
Neuroscience 6 10%
Computer Science 5 8%
Design 3 5%
Engineering 3 5%
Other 5 8%
Unknown 33 53%
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 15 January 2021.
All research outputs
#4,686,702
of 23,263,851 outputs
Outputs from Brain Informatics
#27
of 106 outputs
Outputs of similar age
#101,884
of 378,762 outputs
Outputs of similar age from Brain Informatics
#1
of 7 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 74% 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 378,762 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them