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Computer Vision – ECCV 2020

Overview of attention for book
Computer Vision – ECCV 2020
Springer International Publishing
Attention for Chapter: Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping
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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 (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
11 X users
patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
83 Mendeley
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Chapter title
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping
Book title
Computer Vision – ECCV 2020
Published in
arXiv, November 2020
DOI 10.1007/978-3-030-58607-2_9
Book ISBNs
978-3-03-058606-5, 978-3-03-058607-2
Authors

Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Aniket Bera, Dinesh Manocha, Kyra Kapsaskis, Kurt Gray, Bhattacharya, Uttaran, Roncal, Christian, Mittal, Trisha, Chandra, Rohan, Kapsaskis, Kyra, Gray, Kurt, Bera, Aniket, Manocha, Dinesh

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Master 12 14%
Student > Bachelor 3 4%
Unspecified 2 2%
Lecturer > Senior Lecturer 2 2%
Other 10 12%
Unknown 40 48%
Readers by discipline Count As %
Computer Science 26 31%
Engineering 6 7%
Unspecified 2 2%
Mathematics 1 1%
Arts and Humanities 1 1%
Other 2 2%
Unknown 45 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 February 2023.
All research outputs
#4,819,251
of 24,099,692 outputs
Outputs from arXiv
#108,929
of 1,020,419 outputs
Outputs of similar age
#112,998
of 422,503 outputs
Outputs of similar age from arXiv
#3,875
of 35,127 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 89% 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 422,503 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 73% of its contemporaries.
We're also able to compare this research output to 35,127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.