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Multi-modal face anti-spoofing via cross-modal feature transitions

Overview of attention for article published in Expert Systems with Applications, May 2026
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
7 Mendeley
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Article details
Title
Multi-modal face anti-spoofing via cross-modal feature transitions
Published in
Expert Systems with Applications, May 2026
DOI 10.1016/j.eswa.2026.131292
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 1 14%
Unknown 6 86%
Readers by discipline
Readers by discipline Count As %
Computer Science 3 43%
Unknown 4 57%
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 29 May 2026.
All research outputs
#11,806,431
of 33,610,548 outputs
Outputs from Expert Systems with Applications
#1,324
of 6,034 outputs
Outputs of similar age
#93,065
of 361,026 outputs
Outputs of similar age from Expert Systems with Applications
#6
of 62 outputs
Altmetric has tracked 33,610,548 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,034 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 48th percentile – i.e., 48% 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 361,026 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 72% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.