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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Efficient Bayesian Uncertainty Estimation for nnU-Net
|
---|---|
Chapter number | 51 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
|
Published in |
arXiv, September 2022
|
DOI | 10.1007/978-3-031-16452-1_51 |
Book ISBNs |
978-3-03-116451-4, 978-3-03-116452-1
|
Authors |
Yidong Zhao, Changchun Yang, Artur Schweidtmann, Qian Tao, Zhao, Yidong, Yang, Changchun, Schweidtmann, Artur, Tao, Qian |
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% |
Netherlands | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 15% |
Student > Bachelor | 2 | 10% |
Researcher | 2 | 10% |
Student > Master | 1 | 5% |
Professor > Associate Professor | 1 | 5% |
Other | 0 | 0% |
Unknown | 11 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 25% |
Nursing and Health Professions | 1 | 5% |
Mathematics | 1 | 5% |
Neuroscience | 1 | 5% |
Engineering | 1 | 5% |
Other | 0 | 0% |
Unknown | 11 | 55% |
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 02 May 2024.
All research outputs
#15,212,400
of 25,830,005 outputs
Outputs from arXiv
#200,878
of 948,305 outputs
Outputs of similar age
#181,187
of 422,536 outputs
Outputs of similar age from arXiv
#6,310
of 30,003 outputs
Altmetric has tracked 25,830,005 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 948,305 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 77% 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 422,536 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 56% of its contemporaries.
We're also able to compare this research output to 30,003 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.