Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
|
|---|---|
| Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
|
| Published in |
arXiv, September 2021
|
| DOI | 10.1007/978-3-030-87240-3_50 |
| Book ISBNs |
978-3-03-087239-7, 978-3-03-087240-3
|
| Authors |
Sun, Jinghan, Wei, Dong, Ma, Kai, Wang, Liansheng, Zheng, Yefeng, Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Bachelor | 1 | 4% |
| Librarian | 1 | 4% |
| Unknown | 16 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 21% |
| Agricultural and Biological Sciences | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Social Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 October 2021.
All research outputs
#15,670,023
of 23,283,373 outputs
Outputs from arXiv
#381,887
of 959,009 outputs
Outputs of similar age
#247,880
of 432,626 outputs
Outputs of similar age from arXiv
#14,734
of 35,261 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 959,009 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 53% 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 432,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35,261 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 51% of its contemporaries.