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Learning Generative State Space Models for Active Inference

Overview of attention for article published in Frontiers in Computational Neuroscience, November 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Learning Generative State Space Models for Active Inference
Published in
Frontiers in Computational Neuroscience, November 2020
DOI 10.3389/fncom.2020.574372
Pubmed ID
Authors

Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 30%
Student > Master 5 14%
Student > Doctoral Student 3 8%
Researcher 3 8%
Other 3 8%
Other 5 14%
Unknown 7 19%
Readers by discipline Count As %
Computer Science 10 27%
Engineering 10 27%
Neuroscience 2 5%
Chemistry 2 5%
Sports and Recreations 1 3%
Other 3 8%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 April 2024.
All research outputs
#7,454,716
of 25,795,662 outputs
Outputs from Frontiers in Computational Neuroscience
#365
of 1,475 outputs
Outputs of similar age
#144,712
of 415,091 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 24 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 415,091 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 64% of its contemporaries.
We're also able to compare this research output to 24 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 70% of its contemporaries.