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Cerise: Program Verification on a Capability Machine in the Presence of Untrusted Code

Overview of attention for article published in Journal of the ACM, February 2024
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Title
Cerise: Program Verification on a Capability Machine in the Presence of Untrusted Code
Published in
Journal of the ACM, February 2024
DOI 10.1145/3623510
Authors

Aïna Linn Georges*, Armaël Guéneau*, Thomas Van Strydonck, Amin Timany, Alix Trieu*, Dominique Devriese, Lars Birkedal

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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 February 2024.
All research outputs
#17,270,577
of 25,362,520 outputs
Outputs from Journal of the ACM
#939
of 1,036 outputs
Outputs of similar age
#88,845
of 173,130 outputs
Outputs of similar age from Journal of the ACM
#1
of 1 outputs
Altmetric has tracked 25,362,520 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 1,036 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 6th percentile – i.e., 6% 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 173,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% 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