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Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading

Overview of attention for article published in IEEE Transactions on Multimedia, March 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
2 news outlets

Readers on

mendeley
4 Mendeley
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Title
Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading
Published in
IEEE Transactions on Multimedia, March 2023
DOI 10.1109/tmm.2023.3263553
Authors

Jianxun Lou, Hanhe Lin, Philippa Young, Richard White, Zelei Yang, Susan Shelmerdine, David Marshall, Emiliano Spezi, Marco Palombo, Hantao Liu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Other 1 25%
Unknown 1 25%
Readers by discipline Count As %
Engineering 2 50%
Computer Science 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 23 July 2023.
All research outputs
#4,374,136
of 25,394,764 outputs
Outputs from IEEE Transactions on Multimedia
#137
of 1,625 outputs
Outputs of similar age
#85,027
of 421,960 outputs
Outputs of similar age from IEEE Transactions on Multimedia
#1
of 10 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,625 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 91% 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 421,960 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 79% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them