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Manticore: A Framework for Efficient Multiparty Computation Supporting Real Number and Boolean Arithmetic

Overview of attention for article published in Journal of Cryptology, July 2023
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Readers on

mendeley
5 Mendeley
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Title
Manticore: A Framework for Efficient Multiparty Computation Supporting Real Number and Boolean Arithmetic
Published in
Journal of Cryptology, July 2023
DOI 10.1007/s00145-023-09464-4
Authors

Mariya Georgieva Belorgey, Sergiu Carpov, Kevin Deforth, Dimitar Jetchev, Abson Sae-Tang, Marius Vuille, Nicolas Gama, Jon Katz, Iraklis Leontiadis, Mohsen Mohammadi

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 40%
Unknown 3 60%
Readers by discipline Count As %
Unspecified 2 40%
Unknown 3 60%
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 August 2023.
All research outputs
#16,378,789
of 24,129,125 outputs
Outputs from Journal of Cryptology
#210
of 245 outputs
Outputs of similar age
#118,385
of 214,080 outputs
Outputs of similar age from Journal of Cryptology
#1
of 1 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 245 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 7th percentile – i.e., 7% 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 214,080 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them