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Electronic Voting

Overview of attention for book
Attention for Chapter 8: A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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4 Mendeley
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Chapter title
A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods
Chapter number 8
Book title
Electronic Voting
Published in
arXiv, October 2020
DOI 10.1007/978-3-030-60347-2_8
Book ISBNs
978-3-03-060346-5, 978-3-03-060347-2
Authors

Zhuoqun Huang, Ronald L. Rivest, Philip B. Stark, Vanessa J. Teague, Damjan Vukcevic, Vanessa Teague

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Librarian 1 25%
Student > Ph. D. Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Mathematics 1 25%
Computer Science 1 25%
Social Sciences 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 May 2021.
All research outputs
#20,650,407
of 23,245,494 outputs
Outputs from arXiv
#684,171
of 958,492 outputs
Outputs of similar age
#354,482
of 414,368 outputs
Outputs of similar age from arXiv
#23,442
of 34,132 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 958,492 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 414,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34,132 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.