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Symbolic Representation and Learning With Hyperdimensional Computing

Overview of attention for article published in Frontiers in Robotics and AI, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Symbolic Representation and Learning With Hyperdimensional Computing
Published in
Frontiers in Robotics and AI, June 2020
DOI 10.3389/frobt.2020.00063
Pubmed ID
Authors

Anton Mitrokhin, Peter Sutor, Douglas Summers-Stay, Cornelia Fermüller, Yiannis Aloimonos

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 5 15%
Student > Master 3 9%
Other 2 6%
Unspecified 1 3%
Other 1 3%
Unknown 13 38%
Readers by discipline Count As %
Computer Science 11 32%
Engineering 6 18%
Agricultural and Biological Sciences 1 3%
Unspecified 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 13 38%
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 December 2023.
All research outputs
#7,088,071
of 25,093,754 outputs
Outputs from Frontiers in Robotics and AI
#455
of 1,723 outputs
Outputs of similar age
#142,989
of 404,467 outputs
Outputs of similar age from Frontiers in Robotics and AI
#16
of 38 outputs
Altmetric has tracked 25,093,754 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 73% 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 404,467 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 38 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 60% of its contemporaries.