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Advances in Cryptology – EUROCRYPT 2021

Overview of attention for book
Advances in Cryptology – EUROCRYPT 2021
Springer International Publishing
Attention for Chapter: Cryptanalysis of the GPRS Encryption Algorithms GEA-1 and GEA-2
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 8,163)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
15 news outlets
blogs
1 blog
twitter
17 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
16 Mendeley
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Chapter title
Cryptanalysis of the GPRS Encryption Algorithms GEA-1 and GEA-2
Book title
Advances in Cryptology – EUROCRYPT 2021
Published in
Lecture notes in computer science, June 2021
DOI 10.1007/978-3-030-77886-6_6
Book ISBNs
978-3-03-077885-9, 978-3-03-077886-6
Authors

Christof Beierle, Patrick Derbez, Gregor Leander, Gaëtan Leurent, Håvard Raddum, Yann Rotella, David Rupprecht, Lukas Stennes, Beierle, Christof, Derbez, Patrick, Leander, Gregor, Leurent, Gaëtan, Raddum, Håvard, Rotella, Yann, Rupprecht, David, Stennes, Lukas

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Other 2 13%
Researcher 2 13%
Professor 1 6%
Lecturer 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Computer Science 7 44%
Physics and Astronomy 2 13%
Social Sciences 1 6%
Engineering 1 6%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 132. 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 01 August 2021.
All research outputs
#317,124
of 25,478,886 outputs
Outputs from Lecture notes in computer science
#29
of 8,163 outputs
Outputs of similar age
#8,789
of 445,721 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 18 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 99% 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 445,721 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 98% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.