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Deepfake Detection: A Systematic Literature Review

Overview of attention for article published in IEEE Access, February 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
2 X users
wikipedia
4 Wikipedia pages

Readers on

mendeley
922 Mendeley
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Article details
Title
Deepfake Detection: A Systematic Literature Review
Published in
IEEE Access, February 2022
DOI 10.1109/access.2022.3154404
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 922 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 922 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 30 3%
Student > Master 30 3%
Lecturer 28 3%
Researcher 26 3%
Student > Ph. D. Student 25 3%
Other 67 7%
Unknown 716 78%
Readers by discipline
Readers by discipline Count As %
Computer Science 107 12%
Engineering 24 3%
Social Sciences 15 2%
Unspecified 13 1%
Business, Management and Accounting 11 1%
Other 41 4%
Unknown 711 77%
Attention Score in Context

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 18 August 2026.
All research outputs
#7,707,870
of 28,191,863 outputs
Outputs from IEEE Access
#2,826
of 12,491 outputs
Outputs of similar age
#136,042
of 460,932 outputs
Outputs of similar age from IEEE Access
#54
of 327 outputs
Altmetric has tracked 28,191,863 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 12,491 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 77% 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 460,932 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 70% of its contemporaries.
We're also able to compare this research output to 327 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.