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Deep-learned faces: a survey

Overview of attention for article published in EURASIP Journal on Image and Video Processing, June 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
33 Mendeley
Title
Deep-learned faces: a survey
Published in
EURASIP Journal on Image and Video Processing, June 2020
DOI 10.1186/s13640-020-00510-w
Authors

Samadhi P. K. Wickrama Arachchilage, Ebroul Izquierdo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Lecturer 4 12%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Other 2 6%
Unknown 13 39%
Readers by discipline Count As %
Computer Science 15 45%
Engineering 2 6%
Mathematics 1 3%
Earth and Planetary Sciences 1 3%
Psychology 1 3%
Other 0 0%
Unknown 13 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 November 2020.
All research outputs
#15,994,649
of 25,387,668 outputs
Outputs from EURASIP Journal on Image and Video Processing
#131
of 233 outputs
Outputs of similar age
#247,834
of 433,210 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#2
of 2 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 42nd percentile – i.e., 42% 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 433,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.