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Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents

Overview of attention for article published in Frontiers in Computational Neuroscience, March 2024
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1 X user

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5 Mendeley
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Title
Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents
Published in
Frontiers in Computational Neuroscience, March 2024
DOI 10.3389/fncom.2024.1349408
Pubmed ID
Authors

Giulio Sandini, Alessandra Sciutti, Pietro Morasso

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 40%
Lecturer 2 40%
Unspecified 1 20%
Readers by discipline Count As %
Unspecified 3 60%
Engineering 2 40%
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 12 April 2024.
All research outputs
#23,057,857
of 25,698,912 outputs
Outputs from Frontiers in Computational Neuroscience
#1,252
of 1,474 outputs
Outputs of similar age
#182,072
of 228,784 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 13 outputs
Altmetric has tracked 25,698,912 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 1,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 228,784 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 13 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.