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Computer Vision and Image Processing

Overview of attention for book
Computer Vision and Image Processing
Springer Singapore
Attention for Chapter: Age and Gender Prediction Using Deep CNNs and Transfer Learning
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
31 Mendeley
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Chapter title
Age and Gender Prediction Using Deep CNNs and Transfer Learning
Book title
Computer Vision and Image Processing
Published in
arXiv, March 2021
DOI 10.1007/978-981-16-1092-9_25
Book ISBNs
978-9-81-161091-2, 978-9-81-161092-9
Authors

Vikas Sheoran, Shreyansh Joshi, Tanisha R. Bhayani, Sheoran, Vikas, Joshi, Shreyansh, Bhayani, Tanisha R.

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 6%
Student > Bachelor 2 6%
Professor 1 3%
Lecturer 1 3%
Student > Master 1 3%
Other 0 0%
Unknown 24 77%
Readers by discipline Count As %
Computer Science 8 26%
Engineering 1 3%
Unknown 22 71%
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 26 October 2021.
All research outputs
#14,879,188
of 24,093,053 outputs
Outputs from arXiv
#262,290
of 1,018,817 outputs
Outputs of similar age
#225,727
of 426,518 outputs
Outputs of similar age from arXiv
#8,459
of 33,111 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 71% 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 426,518 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,111 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 71% of its contemporaries.