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The cycle structure of LFSR with arbitrary characteristic polynomial over finite fields

Overview of attention for article published in Cryptography and Communications, December 2017
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2 X users

Citations

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Readers on

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5 Mendeley
Title
The cycle structure of LFSR with arbitrary characteristic polynomial over finite fields
Published in
Cryptography and Communications, December 2017
DOI 10.1007/s12095-017-0273-2
Authors

Zuling Chang, Martianus Frederic Ezerman, San Ling, Huaxiong Wang

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Professor > Associate Professor 1 20%
Lecturer 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Mathematics 3 60%
Computer Science 1 20%
Psychology 1 20%
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 27 December 2016.
All research outputs
#18,504,575
of 22,925,760 outputs
Outputs from Cryptography and Communications
#21
of 33 outputs
Outputs of similar age
#328,053
of 439,867 outputs
Outputs of similar age from Cryptography and Communications
#2
of 3 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33 research outputs from this source. They receive a mean Attention Score of 1.5. This one scored the same or higher as 12 of them.
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 439,867 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 3 others from the same source and published within six weeks on either side of this one.