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Algorithmic counting of nonequivalent compact Huffman codes

Overview of attention for article published in Applicable Algebra in Engineering, Communication and Computing, January 2023
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  • Average Attention Score compared to outputs of the same age

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3 X users

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1 Mendeley
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Title
Algorithmic counting of nonequivalent compact Huffman codes
Published in
Applicable Algebra in Engineering, Communication and Computing, January 2023
DOI 10.1007/s00200-022-00593-0
Authors

Christian Elsholtz, Clemens Heuberger, Daniel Krenn

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%
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 10 January 2023.
All research outputs
#18,541,858
of 23,806,312 outputs
Outputs from Applicable Algebra in Engineering, Communication and Computing
#55
of 67 outputs
Outputs of similar age
#290,334
of 446,369 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 19th percentile – i.e., 19% 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 16th percentile – i.e., 16% 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 446,369 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% 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