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A Secure Verifiable Ranked Choice Online Voting System Based on Homomorphic Encryption

Overview of attention for article published in IEEE Access, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
201 Mendeley
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Title
A Secure Verifiable Ranked Choice Online Voting System Based on Homomorphic Encryption
Published in
IEEE Access, March 2018
DOI 10.1109/access.2018.2817518
Authors

Xuechao Yang, Xun Yi, Surya Nepal, Andrei Kelarev, Fengling Han

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

Geographical breakdown

Country Count As %
Unknown 201 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 15%
Student > Master 26 13%
Researcher 17 8%
Student > Doctoral Student 17 8%
Professor > Associate Professor 10 5%
Other 36 18%
Unknown 65 32%
Readers by discipline Count As %
Computer Science 48 24%
Social Sciences 27 13%
Business, Management and Accounting 24 12%
Engineering 8 4%
Decision Sciences 4 2%
Other 16 8%
Unknown 74 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2020.
All research outputs
#7,359,319
of 25,382,440 outputs
Outputs from IEEE Access
#2,225
of 9,866 outputs
Outputs of similar age
#122,602
of 348,083 outputs
Outputs of similar age from IEEE Access
#77
of 254 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 9,866 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 348,083 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 63% of its contemporaries.
We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.