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A Biological Inspired Cognitive Framework for Memory-Based Multi-Sensory Joint Attention in Human-Robot Interactive Tasks

Overview of attention for article published in Frontiers in Neurorobotics, November 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
11 Mendeley
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Title
A Biological Inspired Cognitive Framework for Memory-Based Multi-Sensory Joint Attention in Human-Robot Interactive Tasks
Published in
Frontiers in Neurorobotics, November 2021
DOI 10.3389/fnbot.2021.648595
Pubmed ID
Authors

Omar Eldardeer, Jonas Gonzalez-Billandon, Lukas Grasse, Matthew Tata, Francesco Rea

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Unspecified 1 9%
Researcher 1 9%
Unknown 4 36%
Readers by discipline Count As %
Computer Science 4 36%
Unspecified 1 9%
Social Sciences 1 9%
Engineering 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 November 2021.
All research outputs
#4,167,564
of 23,310,485 outputs
Outputs from Frontiers in Neurorobotics
#89
of 905 outputs
Outputs of similar age
#98,634
of 510,402 outputs
Outputs of similar age from Frontiers in Neurorobotics
#5
of 43 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 905 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 90% 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 510,402 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.