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Chinese Remaindering Based Cryptosystems in the Presence of Faults

Overview of attention for article published in Journal of Cryptology, October 1999
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Mentioned by

patent
1 patent

Citations

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100 Dimensions

Readers on

mendeley
46 Mendeley
Title
Chinese Remaindering Based Cryptosystems in the Presence of Faults
Published in
Journal of Cryptology, October 1999
DOI 10.1007/s001459900055
Authors

Marc Joye, Arjen K. Lenstra, Jean-Jacques Quisquater

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Master 11 24%
Researcher 7 15%
Lecturer 3 7%
Professor 2 4%
Other 8 17%
Unknown 4 9%
Readers by discipline Count As %
Computer Science 32 70%
Mathematics 4 9%
Engineering 3 7%
Physics and Astronomy 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 4 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 February 2010.
All research outputs
#7,531,132
of 22,979,862 outputs
Outputs from Journal of Cryptology
#89
of 238 outputs
Outputs of similar age
#11,077
of 35,323 outputs
Outputs of similar age from Journal of Cryptology
#3
of 5 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 238 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 20th percentile – i.e., 20% 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 35,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.