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Overview of attention for book
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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Laudatio in Honour of Professor Dr. Johannes Buchmann on the Occasion of His 60th Birthday
  3. Altmetric Badge
    Chapter 2 Have a Break – Have a Security Centre: From DZI to CASED
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    Chapter 3 Operating Degrees for XL vs. F4/F5 for Generic \(\mathcal{M}Q\) with Number of Equations Linear in That of Variables
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    Chapter 4 Solving Degree and Degree of Regularity for Polynomial Systems over a Finite Fields
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    Chapter 5 Shorter Compact Representations in Real Quadratic Fields
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    Chapter 6 Factoring Integers by CVP Algorithms
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    Chapter 7 Solving the Elliptic Curve Discrete Logarithm Problem Using Semaev Polynomials, Weil Descent and Gröbner Basis Methods – An Experimental Study
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    Chapter 8 An Experiment of Number Field Sieve for Discrete Logarithm Problem over GF(p 12)
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    Chapter 9 Universal Security
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    Chapter 10 Identities for Embedded Systems Enabled by Physical Unclonable Functions
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    Chapter 11 When Should an Implementation Attack Be Viewed as Successful?
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    Chapter 12 AMASIVE: An Adaptable and Modular Autonomous Side-Channel Vulnerability Evaluation Framework
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    Chapter 13 A Performance Boost for Hash-Based Signatures
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    Chapter 14 Privacy-Preserving Reconciliation Protocols: From Theory to Practice
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    Chapter 15 Defining Privacy Based on Distributions of Privacy Breaches
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    Chapter 16 A Constructive Perspective on Key Encapsulation
  18. Altmetric Badge
    Chapter 17 Why Are Business Processes Not Secure?
  19. Altmetric Badge
    Chapter 18 Mental Models – General Introduction and Review of Their Application to Human-Centred Security
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
3 tweeters
q&a
1 Q&A thread

Readers on

mendeley
1 Mendeley
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Title
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-42001-6
ISBNs
978-3-64-242000-9, 978-3-64-242001-6
Editors

Marc Fischlin, Stefan Katzenbeisser

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 June 2018.
All research outputs
#3,818,990
of 15,906,905 outputs
Outputs from Lecture notes in computer science
#1,535
of 7,615 outputs
Outputs of similar age
#68,000
of 269,258 outputs
Outputs of similar age from Lecture notes in computer science
#24
of 88 outputs
Altmetric has tracked 15,906,905 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,615 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 79% 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 269,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.