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Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting

Overview of attention for article published in IEEE Transactions on Image Processing, June 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
52 Mendeley
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Article details
Title
Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting
Published in
IEEE Transactions on Image Processing, June 2015
DOI 10.1109/tip.2015.2446944
Pubmed ID
Authors

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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 15%
Student > Master 8 15%
Researcher 5 10%
Student > Doctoral Student 4 8%
Professor 4 8%
Other 10 19%
Unknown 13 25%
Readers by discipline
Readers by discipline Count As %
Computer Science 25 48%
Engineering 6 12%
Economics, Econometrics and Finance 3 6%
Chemical Engineering 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 6%
Unknown 13 25%
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 18 February 2025.
All research outputs
#6,087,480
of 27,798,941 outputs
Outputs from IEEE Transactions on Image Processing
#583
of 4,274 outputs
Outputs of similar age
#65,620
of 280,693 outputs
Outputs of similar age from IEEE Transactions on Image Processing
#8
of 40 outputs
Altmetric has tracked 27,798,941 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,274 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 73% 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 280,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 40 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 70% of its contemporaries.