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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
|
---|---|
Chapter number | 34 |
Book title |
Computer Vision – ECCV 2022
|
Published in |
arXiv, October 2022
|
DOI | 10.1007/978-3-031-19812-0_34 |
Book ISBNs |
978-3-03-119811-3, 978-3-03-119812-0
|
Authors |
Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao, Yuan, Haobo, Li, Xiangtai, Yang, Yibo, Cheng, Guangliang, Zhang, Jing, Tong, Yunhai, Zhang, Lefei, Tao, Dacheng |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 18% |
Researcher | 3 | 9% |
Other | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 2 | 6% |
Unknown | 17 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 36% |
Engineering | 2 | 6% |
Unknown | 19 | 58% |
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 29 December 2022.
All research outputs
#15,251,674
of 23,445,423 outputs
Outputs from arXiv
#332,723
of 968,074 outputs
Outputs of similar age
#225,239
of 445,464 outputs
Outputs of similar age from arXiv
#16,054
of 43,137 outputs
Altmetric has tracked 23,445,423 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 968,074 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 60% 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 445,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43,137 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.