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Intervening on the Causal Exclusion Problem for Integrated Information Theory

Overview of attention for article published in Minds and Machines, January 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
18 Mendeley
Title
Intervening on the Causal Exclusion Problem for Integrated Information Theory
Published in
Minds and Machines, January 2018
DOI 10.1007/s11023-018-9456-7
Authors

Matthew Baxendale, Garrett Mindt

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Researcher 4 22%
Student > Doctoral Student 3 17%
Professor > Associate Professor 2 11%
Student > Ph. D. Student 1 6%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Philosophy 3 17%
Arts and Humanities 3 17%
Computer Science 3 17%
Agricultural and Biological Sciences 2 11%
Mathematics 1 6%
Other 2 11%
Unknown 4 22%
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 17 November 2020.
All research outputs
#7,614,574
of 23,906,448 outputs
Outputs from Minds and Machines
#139
of 323 outputs
Outputs of similar age
#150,637
of 448,347 outputs
Outputs of similar age from Minds and Machines
#3
of 3 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has gotten more attention than average, scoring higher than 56% 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 448,347 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 66% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.