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Financial Cryptography and Data Security

Overview of attention for book
Cover of 'Financial Cryptography and Data Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Stressing Out: Bitcoin “Stress Testing”
  3. Altmetric Badge
    Chapter 2 Why Buy When You Can Rent?
  4. Altmetric Badge
    Chapter 3 Automated Verification of Electrum Wallet
  5. Altmetric Badge
    Chapter 4 Blindly Signed Contracts: Anonymous On-Blockchain and Off-Blockchain Bitcoin Transactions
  6. Altmetric Badge
    Chapter 5 Proofs of Proofs of Work with Sublinear Complexity
  7. Altmetric Badge
    Chapter 6 Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab
  8. Altmetric Badge
    Chapter 7 EthIKS: Using Ethereum to Audit a CONIKS Key Transparency Log
  9. Altmetric Badge
    Chapter 8 On Scaling Decentralized Blockchains
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    Chapter 9 Bitcoin Covenants
  11. Altmetric Badge
    Chapter 10 Cryptocurrencies Without Proof of Work
  12. Altmetric Badge
    Chapter 11 Coercion-Resistant Internet Voting with Everlasting Privacy
  13. Altmetric Badge
    Chapter 12 Selene: Voting with Transparent Verifiability and Coercion-Mitigation
  14. Altmetric Badge
    Chapter 13 On the Possibility of Non-interactive E-Voting in the Public-Key Setting
  15. Altmetric Badge
    Chapter 14 Efficiency Comparison of Various Approaches in E-Voting Protocols
  16. Altmetric Badge
    Chapter 15 Remote Electronic Voting Can Be Efficient, Verifiable and Coercion-Resistant
  17. Altmetric Badge
    Chapter 16 Universal Cast-as-Intended Verifiability
  18. Altmetric Badge
    Chapter 17 Hiding Access Patterns in Range Queries Using Private Information Retrieval and ORAM
  19. Altmetric Badge
    Chapter 18 Optimizing MPC for Robust and Scalable Integer and Floating-Point Arithmetic
  20. Altmetric Badge
    Chapter 19 On-the-fly Homomorphic Batching/Unbatching
  21. Altmetric Badge
    Chapter 20 Using Intel Software Guard Extensions for Efficient Two-Party Secure Function Evaluation
  22. Altmetric Badge
    Chapter 21 CallForFire: A Mission-Critical Cloud-Based Application Built Using the Nomad Framework
  23. Altmetric Badge
    Chapter 22 Cryptographic Solutions for Genomic Privacy
Attention for Chapter 2: Why Buy When You Can Rent?
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
85 Mendeley
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Chapter title
Why Buy When You Can Rent?
Chapter number 2
Book title
Financial Cryptography and Data Security
Published in
Lecture notes in computer science, August 2016
DOI 10.1007/978-3-662-53357-4_2
Book ISBNs
978-3-66-253356-7, 978-3-66-253357-4
Authors

Joseph Bonneau, Bonneau, Joseph

Editors

Jeremy Clark, Sarah Meiklejohn, Peter Y.A. Ryan, Dan Wallach, Michael Brenner, Kurt Rohloff

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

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 84 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 24%
Student > Master 18 21%
Researcher 9 11%
Student > Bachelor 8 9%
Other 4 5%
Other 7 8%
Unknown 19 22%
Readers by discipline Count As %
Computer Science 42 49%
Engineering 6 7%
Economics, Econometrics and Finance 6 7%
Business, Management and Accounting 3 4%
Social Sciences 2 2%
Other 5 6%
Unknown 21 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 June 2021.
All research outputs
#6,402,974
of 23,316,003 outputs
Outputs from Lecture notes in computer science
#2,065
of 8,159 outputs
Outputs of similar age
#99,325
of 338,994 outputs
Outputs of similar age from Lecture notes in computer science
#123
of 491 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 74% 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 338,994 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 70% of its contemporaries.
We're also able to compare this research output to 491 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.