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Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors

Overview of attention for article published in Cognitive Computation, January 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 434)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users
patent
42 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
588 Dimensions

Readers on

mendeley
455 Mendeley
citeulike
5 CiteULike
Title
Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors
Published in
Cognitive Computation, January 2009
DOI 10.1007/s12559-009-9009-8
Authors

Pentti Kanerva

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 455 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 3%
Australia 4 <1%
Canada 2 <1%
France 1 <1%
Italy 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Finland 1 <1%
Other 5 1%
Unknown 426 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 112 25%
Researcher 67 15%
Student > Master 54 12%
Student > Bachelor 36 8%
Other 24 5%
Other 82 18%
Unknown 80 18%
Readers by discipline Count As %
Computer Science 149 33%
Engineering 94 21%
Neuroscience 29 6%
Agricultural and Biological Sciences 23 5%
Psychology 19 4%
Other 48 11%
Unknown 93 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 September 2023.
All research outputs
#1,600,977
of 24,715,720 outputs
Outputs from Cognitive Computation
#7
of 434 outputs
Outputs of similar age
#6,652
of 185,064 outputs
Outputs of similar age from Cognitive Computation
#2
of 5 outputs
Altmetric has tracked 24,715,720 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 434 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 98% 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 185,064 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.