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Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval

Overview of attention for article published in Pattern Recognition, May 2023
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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 (84th percentile)

Mentioned by

twitter
9 X users

Citations

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3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval
Published in
Pattern Recognition, May 2023
DOI 10.1016/j.patcog.2022.109272
Authors

Yan Gong, Georgina Cosma

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Lecturer 1 9%
Student > Ph. D. Student 1 9%
Unknown 7 64%
Readers by discipline Count As %
Computer Science 4 36%
Unknown 7 64%
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 14 February 2023.
All research outputs
#6,882,654
of 25,392,582 outputs
Outputs from Pattern Recognition
#767
of 2,909 outputs
Outputs of similar age
#118,313
of 407,379 outputs
Outputs of similar age from Pattern Recognition
#6
of 39 outputs
Altmetric has tracked 25,392,582 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 2,909 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 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 407,379 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 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.