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Fast decoding of non-binary first order Reed-Muller codes

Overview of attention for article published in Applicable Algebra in Engineering, Communication and Computing, July 1996
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Mentioned by

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1 patent

Citations

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4 Dimensions

Readers on

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3 Mendeley
Title
Fast decoding of non-binary first order Reed-Muller codes
Published in
Applicable Algebra in Engineering, Communication and Computing, July 1996
DOI 10.1007/bf01195535
Authors

Alexey E. Ashikhmin, Simon N. Litsyn

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Computer Science 1 33%
Engineering 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 May 2008.
All research outputs
#7,850,857
of 23,806,312 outputs
Outputs from Applicable Algebra in Engineering, Communication and Computing
#13
of 67 outputs
Outputs of similar age
#8,576
of 29,877 outputs
Outputs of similar age from Applicable Algebra in Engineering, Communication and Computing
#1
of 1 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 67 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 37th percentile – i.e., 37% 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 29,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them