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Challenges to the Modularity Thesis Under the Bayesian Brain Models

Overview of attention for article published in Frontiers in Human Neuroscience, October 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
45 Mendeley
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Title
Challenges to the Modularity Thesis Under the Bayesian Brain Models
Published in
Frontiers in Human Neuroscience, October 2019
DOI 10.3389/fnhum.2019.00353
Pubmed ID
Authors

Nithin George, Meera Mary Sunny

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 8 18%
Researcher 3 7%
Lecturer 3 7%
Student > Bachelor 2 4%
Other 6 13%
Unknown 13 29%
Readers by discipline Count As %
Psychology 14 31%
Neuroscience 5 11%
Philosophy 2 4%
Mathematics 2 4%
Engineering 2 4%
Other 6 13%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 August 2020.
All research outputs
#7,869,536
of 25,622,179 outputs
Outputs from Frontiers in Human Neuroscience
#3,045
of 7,738 outputs
Outputs of similar age
#133,392
of 367,394 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#58
of 121 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 69th percentile.
So far Altmetric has tracked 7,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 59% 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 367,394 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 63% of its contemporaries.
We're also able to compare this research output to 121 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 52% of its contemporaries.