Report for: E-Voting and Identity

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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

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Twitter Demographics

The data shown below were collected from the profiles of 347 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
United States	111	32%
Australia	7	2%
United Kingdom	5	1%
Georgia	4	1%
Canada	3	<1%
Brazil	3	<1%
Colombia	1	<1%
Hungary	1	<1%
Romania	1	<1%
Other	18	5%
Unknown	193	56%

Demographic breakdown

Type	Count	As %
Members of the public	340	98%
Practitioners (doctors, other healthcare professionals)	3	<1%
Science communicators (journalists, bloggers, editors)	3	<1%
Scientists	1	<1%

Mendeley readers

The data shown below were compiled from readership statistics for 70 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	68	97%

Demographic breakdown

Readers by professional status	Count	As %
Student > Master	15	21%
Student > Bachelor	14	20%
Student > Ph. D. Student	11	16%
Researcher	4	6%
Professor > Associate Professor	2	3%
Other	4	6%
Unknown	20	29%

Readers by discipline	Count	As %
Computer Science	31	44%
Social Sciences	6	9%
Engineering	4	6%
Business, Management and Accounting	1	1%
Nursing and Health Professions	1	1%
Other	6	9%
Unknown	21	30%

Attention Score in Context

This research output has an Altmetric Attention Score of 208. 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

#168,774

of 23,801,098 outputs

Outputs from Lecture notes in computer science

#17

of 8,165 outputs

Outputs of similar age

#1,919

of 265,732 outputs

Outputs of similar age from Lecture notes in computer science

of 300 outputs

Altmetric has tracked 23,801,098 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 8,165 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 265,732 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 300 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.

E-Voting and Identity

Table of Contents

About this Attention Score

Mentioned by

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context