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Causal density and integrated information as measures of conscious level

Overview of attention for article published in Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2011
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
8 X users
patent
3 patents
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
235 Mendeley
citeulike
2 CiteULike
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Title
Causal density and integrated information as measures of conscious level
Published in
Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2011
DOI 10.1098/rsta.2011.0079
Pubmed ID
Authors

Anil K. Seth, Adam B. Barrett, Lionel Barnett

Abstract

An outstanding challenge in neuroscience is to develop theoretically grounded and practically applicable quantitative measures that are sensitive to conscious level. Such measures should be high for vivid alert conscious wakefulness, and low for unconscious states such as dreamless sleep, coma and general anaesthesia. Here, we describe recent progress in the development of measures of dynamical complexity, in particular causal density and integrated information. These and similar measures capture in different ways the extent to which a system's dynamics are simultaneously differentiated and integrated. Because conscious scenes are distinguished by the same dynamical features, these measures are therefore good candidates for reflecting conscious level. After reviewing the theoretical background, we present new simulation results demonstrating similarities and differences between the measures, and we discuss remaining challenges in the practical application of the measures to empirically obtained data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
United Kingdom 7 3%
Canada 4 2%
France 3 1%
Spain 2 <1%
Netherlands 1 <1%
Italy 1 <1%
Colombia 1 <1%
Portugal 1 <1%
Other 6 3%
Unknown 202 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 25%
Researcher 49 21%
Student > Master 30 13%
Student > Bachelor 20 9%
Professor 11 5%
Other 35 15%
Unknown 31 13%
Readers by discipline Count As %
Psychology 38 16%
Neuroscience 37 16%
Computer Science 28 12%
Agricultural and Biological Sciences 18 8%
Physics and Astronomy 17 7%
Other 52 22%
Unknown 45 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 10 August 2023.
All research outputs
#1,113,443
of 25,374,917 outputs
Outputs from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#259
of 3,638 outputs
Outputs of similar age
#4,742
of 148,229 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#1
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done particularly well, scoring higher than 92% 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 148,229 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
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 done particularly well, scoring higher than 95% of its contemporaries.