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Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey

Overview of attention for article published in ACM Computing Surveys, October 2024
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
14 Mendeley
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Title
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Published in
ACM Computing Surveys, October 2024
DOI 10.1145/3679010
Authors

Yuecong Xu, Haozhi Cao, Lihua Xie, Xiao-Li Li, Zhenghua Chen, Jianfei Yang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 14%
Unspecified 1 7%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Other 2 14%
Unknown 6 43%
Readers by discipline Count As %
Computer Science 5 36%
Unspecified 1 7%
Engineering 1 7%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 November 2022.
All research outputs
#17,701,473
of 26,741,403 outputs
Outputs from ACM Computing Surveys
#1,232
of 1,479 outputs
Outputs of similar age
#65,179
of 141,100 outputs
Outputs of similar age from ACM Computing Surveys
#6
of 9 outputs
Altmetric has tracked 26,741,403 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,479 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. 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 141,100 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 50% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.