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Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation

Overview of attention for article published in IEEE Transactions on Image Processing, November 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

patent
6 patents

Readers on

mendeley
92 Mendeley
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Article details
Title
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation
Published in
IEEE Transactions on Image Processing, November 2018
DOI 10.1109/tip.2018.2881928
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 92 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 92 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 15 16%
Researcher 11 12%
Other 4 4%
Student > Doctoral Student 3 3%
Other 8 9%
Unknown 32 35%
Readers by discipline
Readers by discipline Count As %
Computer Science 37 40%
Engineering 11 12%
Earth and Planetary Sciences 2 2%
Medicine and Dentistry 2 2%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 2 2%
Unknown 37 40%
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 02 December 2025.
All research outputs
#6,553,048
of 30,202,275 outputs
Outputs from IEEE Transactions on Image Processing
#762
of 4,744 outputs
Outputs of similar age
#93,155
of 341,230 outputs
Outputs of similar age from IEEE Transactions on Image Processing
#16
of 68 outputs
Altmetric has tracked 30,202,275 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 4,744 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 67% 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 341,230 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 71% of its contemporaries.
We're also able to compare this research output to 68 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 69% of its contemporaries.