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Control Flow in Active Inference Systems—Part I: Classical and Quantum Formulations of Active Inference

Overview of attention for article published in IEEE Transactions on Molecular, Biological and Multi-Scale Communications, June 2023
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Mentioned by

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1 tweeter

Citations

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2 Dimensions

Readers on

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3 Mendeley
Title
Control Flow in Active Inference Systems—Part I: Classical and Quantum Formulations of Active Inference
Published in
IEEE Transactions on Molecular, Biological and Multi-Scale Communications, June 2023
DOI 10.1109/tmbmc.2023.3272150
Authors

Chris Fields, Filippo Fabrocini, Karl Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marcianò

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Unknown 1 33%
Readers by discipline Count As %
Psychology 1 33%
Neuroscience 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 June 2023.
All research outputs
#21,426,673
of 23,917,076 outputs
Outputs from IEEE Transactions on Molecular, Biological and Multi-Scale Communications
#33
of 40 outputs
Outputs of similar age
#211,952
of 256,074 outputs
Outputs of similar age from IEEE Transactions on Molecular, Biological and Multi-Scale Communications
#1
of 1 outputs
Altmetric has tracked 23,917,076 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 40 research outputs from this source. They receive a mean Attention Score of 2.9. This one scored the same or higher as 7 of them.
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 256,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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