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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
|
---|---|
Chapter number | 6 |
Book title |
Computer Vision – ECCV 2022
|
Published in |
arXiv, November 2022
|
DOI | 10.1007/978-3-031-20080-9_6 |
Book ISBNs |
978-3-03-120079-3, 978-3-03-120080-9
|
Authors |
Yu Hong, Hang Dai, Yong Ding, Hong, Yu, Dai, Hang, Ding, Yong |
X Demographics
The data shown below were collected from the profiles of 6 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.
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 22% |
Student > Master | 9 | 20% |
Other | 2 | 4% |
Researcher | 2 | 4% |
Student > Doctoral Student | 1 | 2% |
Other | 3 | 7% |
Unknown | 19 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 43% |
Engineering | 3 | 7% |
Mathematics | 1 | 2% |
Unspecified | 1 | 2% |
Unknown | 21 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 November 2022.
All research outputs
#13,595,794
of 24,093,053 outputs
Outputs from arXiv
#193,162
of 1,018,817 outputs
Outputs of similar age
#158,321
of 421,563 outputs
Outputs of similar age from arXiv
#7,597
of 40,546 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 80% 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 421,563 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 61% of its contemporaries.
We're also able to compare this research output to 40,546 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.