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Timeline
X Demographics
Attention Score in Context
Title |
An artificial neural network approach to finding the key length of the Vigenère cipher
|
---|---|
Published in |
Cryptologia, June 2024
|
DOI | 10.1080/01611194.2024.2351117 |
Authors |
Christian Millichap, Yeeka Yau |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | 33% |
Canada | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 02 September 2024.
All research outputs
#7,626,630
of 26,559,762 outputs
Outputs from Cryptologia
#66
of 354 outputs
Outputs of similar age
#90,129
of 318,447 outputs
Outputs of similar age from Cryptologia
#1
of 4 outputs
Altmetric has tracked 26,559,762 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 81% 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 318,447 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 71% of its contemporaries.
We're also able to compare this research output to 4 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