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Improved decoding and error floor analysis of staircase codes

Overview of attention for article published in Designs, Codes and Cryptography, November 2018
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Mentioned by

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2 X users

Citations

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Readers on

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12 Mendeley
Title
Improved decoding and error floor analysis of staircase codes
Published in
Designs, Codes and Cryptography, November 2018
DOI 10.1007/s10623-018-0587-x
Authors

Lukas Holzbaur, Hannes Bartz, Antonia Wachter-Zeh

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Student > Master 3 25%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Researcher 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Engineering 9 75%
Computer Science 1 8%
Unknown 2 17%
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 07 April 2017.
All research outputs
#19,519,579
of 24,002,307 outputs
Outputs from Designs, Codes and Cryptography
#195
of 271 outputs
Outputs of similar age
#334,289
of 444,705 outputs
Outputs of similar age from Designs, Codes and Cryptography
#4
of 4 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 271 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 9th percentile – i.e., 9% 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 444,705 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.