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Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics

Overview of attention for article published in Frontiers in Neurorobotics, June 2022
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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8 Mendeley
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Title
Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics
Published in
Frontiers in Neurorobotics, June 2022
DOI 10.3389/fnbot.2022.864380
Pubmed ID
Authors

Elisa Massi, Jeanne Barthélemy, Juliane Mailly, Rémi Dromnelle, Julien Canitrot, Esther Poniatowski, Benoît Girard, Mehdi Khamassi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 25%
Computer Science 1 13%
Neuroscience 1 13%
Unknown 4 50%
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 07 July 2022.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Frontiers in Neurorobotics
#690
of 858 outputs
Outputs of similar age
#352,162
of 440,165 outputs
Outputs of similar age from Frontiers in Neurorobotics
#41
of 58 outputs
Altmetric has tracked 22,805,349 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 858 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 440,165 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 58 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.