Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Improved Heatmap-Based Landmark Detection
|
|---|---|
| Book title |
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
|
| Published in |
arXiv, September 2021
|
| DOI | 10.1007/978-3-030-88210-5_11 |
| Book ISBNs |
978-3-03-088209-9, 978-3-03-088210-5
|
| Authors |
Yao, Huifeng, Guo, Ziyu, Zhang, Yatao, Li, Xiaomeng, Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 25% |
| Japan | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 100% |
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 13 October 2021.
All research outputs
#14,879,188
of 24,093,053 outputs
Outputs from arXiv
#262,290
of 1,018,817 outputs
Outputs of similar age
#209,731
of 421,321 outputs
Outputs of similar age from arXiv
#9,195
of 34,560 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 gotten more attention than average, scoring higher than 71% 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 421,321 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34,560 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 70% of its contemporaries.