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Computer Vision and Pattern Recognition 2020

Overview of attention for article published in International Journal of Computer Vision, October 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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85 Mendeley
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Title
Computer Vision and Pattern Recognition 2020
Published in
International Journal of Computer Vision, October 2021
DOI 10.1007/s11263-021-01522-3
Authors

Zeynep Akata, Andreas Geiger, Torsten Sattler

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 2 2%
India 1 1%
Malaysia 1 1%
China 1 1%
Denmark 1 1%
Spain 1 1%
Korea, Republic of 1 1%
Unknown 74 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Researcher 10 12%
Student > Master 9 11%
Professor 6 7%
Student > Doctoral Student 4 5%
Other 16 19%
Unknown 25 29%
Readers by discipline Count As %
Computer Science 28 33%
Engineering 23 27%
Unspecified 1 1%
Mathematics 1 1%
Agricultural and Biological Sciences 1 1%
Other 5 6%
Unknown 26 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 October 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from International Journal of Computer Vision
#881
of 1,189 outputs
Outputs of similar age
#248,805
of 435,101 outputs
Outputs of similar age from International Journal of Computer Vision
#8
of 26 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,189 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 435,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.