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A Novel Fingerprint Biometric Cryptosystem Based on Convolutional Neural Networks

Overview of attention for article published in Mathematics, March 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
17 Mendeley
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Title
A Novel Fingerprint Biometric Cryptosystem Based on Convolutional Neural Networks
Published in
Mathematics, March 2021
DOI 10.3390/math9070730
Authors

Srđan Barzut, Milan Milosavljević, Saša Adamović, Muzafer Saračević, Nemanja Maček, Milan Gnjatović

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 18%
Student > Ph. D. Student 1 6%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Unknown 11 65%
Readers by discipline Count As %
Computer Science 4 24%
Engineering 3 18%
Unknown 10 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2024.
All research outputs
#5,360,876
of 25,139,853 outputs
Outputs from Mathematics
#126
of 3,249 outputs
Outputs of similar age
#123,531
of 432,821 outputs
Outputs of similar age from Mathematics
#7
of 188 outputs
Altmetric has tracked 25,139,853 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,249 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done particularly well, scoring higher than 96% 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 432,821 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 188 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.