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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
LA3: Efficient Label-Aware AutoAugment
|
|---|---|
| Chapter number | 16 |
| Book title |
Computer Vision – ECCV 2022
|
| Published in |
arXiv, January 2022
|
| DOI | 10.1007/978-3-031-19803-8_16 |
| Book ISBNs |
978-3-03-119802-1, 978-3-03-119803-8
|
| Authors |
Zhao, Mingjun, Lu, Shan, Wang, Zixuan, Wang, Xiaoli, Niu, Di, Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Japan | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 30% |
| Researcher | 2 | 20% |
| Student > Master | 1 | 10% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 50% |
| Unknown | 5 | 50% |
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 23 April 2023.
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
#199,392
of 505,056 outputs
Outputs of similar age from arXiv
#6,116
of 33,110 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 505,056 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 60% of its contemporaries.
We're also able to compare this research output to 33,110 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.