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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?
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    Chapter 3 Automated Verification of Electrum Wallet
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    Chapter 4 Blindly Signed Contracts: Anonymous On-Blockchain and Off-Blockchain Bitcoin Transactions
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    Chapter 5 Proofs of Proofs of Work with Sublinear Complexity
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    Chapter 6 Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab
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    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
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    Chapter 10 Cryptocurrencies Without Proof of Work
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    Chapter 11 Coercion-Resistant Internet Voting with Everlasting Privacy
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    Chapter 12 Selene: Voting with Transparent Verifiability and Coercion-Mitigation
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    Chapter 13 On the Possibility of Non-interactive E-Voting in the Public-Key Setting
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    Chapter 14 Efficiency Comparison of Various Approaches in E-Voting Protocols
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    Chapter 15 Remote Electronic Voting Can Be Efficient, Verifiable and Coercion-Resistant
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    Chapter 16 Universal Cast-as-Intended Verifiability
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    Chapter 17 Hiding Access Patterns in Range Queries Using Private Information Retrieval and ORAM
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    Chapter 18 Optimizing MPC for Robust and Scalable Integer and Floating-Point Arithmetic
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    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 8: On Scaling Decentralized Blockchains
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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 (#41 of 8,155)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
16 tweeters
patent
2 patents
wikipedia
10 Wikipedia pages

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
384 Mendeley
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Chapter title
On Scaling Decentralized Blockchains
Chapter number 8
Book title
Financial Cryptography and Data Security
Published in
Lecture notes in computer science, August 2016
DOI 10.1007/978-3-662-53357-4_8
Book ISBNs
978-3-66-253356-7, 978-3-66-253357-4
Authors

Kyle Croman, Christian Decker, Ittay Eyal, Adem Efe Gencer, Ari Juels, Ahmed Kosba, Andrew Miller, Prateek Saxena, Elaine Shi, Emin Gün Sirer, Dawn Song, Roger Wattenhofer, Croman, Kyle, Decker, Christian, Eyal, Ittay, Gencer, Adem Efe, Juels, Ari, Kosba, Ahmed, Miller, Andrew, Saxena, Prateek, Shi, Elaine, Gün Sirer, Emin, Song, Dawn, Wattenhofer, Roger

Editors

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

Twitter Demographics

The data shown below were collected from the profiles of 16 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 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Tanzania, United Republic of 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 378 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 91 24%
Student > Ph. D. Student 68 18%
Student > Bachelor 37 10%
Researcher 28 7%
Student > Doctoral Student 18 5%
Other 54 14%
Unknown 88 23%
Readers by discipline Count As %
Computer Science 173 45%
Business, Management and Accounting 37 10%
Engineering 30 8%
Economics, Econometrics and Finance 18 5%
Social Sciences 7 2%
Other 23 6%
Unknown 96 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 17 March 2023.
All research outputs
#453,039
of 23,394,907 outputs
Outputs from Lecture notes in computer science
#41
of 8,155 outputs
Outputs of similar age
#9,763
of 339,299 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 491 outputs
Altmetric has tracked 23,394,907 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 8,155 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 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 339,299 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 97% 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 particularly well, scoring higher than 98% of its contemporaries.