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E-Voting and Identity

Overview of attention for book
Attention for Chapter 3: The New South Wales iVote System: Security Failures and Verification Flaws in a Live Online Election
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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 (#16 of 8,171)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
346 X users
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
75 Mendeley
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Chapter title
The New South Wales iVote System: Security Failures and Verification Flaws in a Live Online Election
Chapter number 3
Book title
E-Voting and Identity
Published in
Lecture notes in computer science, August 2015
DOI 10.1007/978-3-319-22270-7_3
Book ISBNs
978-3-31-922269-1, 978-3-31-922270-7
Authors

J. Alex Halderman, Vanessa Teague, Halderman, J. Alex, Teague, Vanessa

Editors

Wikström, Douglas, Koenig, Reto E., Haenni, Rolf

X Demographics

X Demographics

The data shown below were collected from the profiles of 346 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Brazil 1 1%
Unknown 73 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 20%
Student > Master 15 20%
Student > Ph. D. Student 12 16%
Researcher 4 5%
Student > Postgraduate 2 3%
Other 4 5%
Unknown 23 31%
Readers by discipline Count As %
Computer Science 33 44%
Social Sciences 7 9%
Engineering 4 5%
Nursing and Health Professions 1 1%
Economics, Econometrics and Finance 1 1%
Other 5 7%
Unknown 24 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 209. 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 30 April 2022.
All research outputs
#189,929
of 25,758,695 outputs
Outputs from Lecture notes in computer science
#16
of 8,171 outputs
Outputs of similar age
#2,039
of 276,967 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 304 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,171 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 276,967 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 99% of its contemporaries.
We're also able to compare this research output to 304 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 99% of its contemporaries.