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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
|
---|---|
Chapter number | 49 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
|
Published in |
Lecture notes in computer science, October 2016
|
DOI | 10.1007/978-3-319-46723-8_49 |
Book ISBNs |
978-3-31-946722-1, 978-3-31-946723-8
|
Authors |
Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger, Çiçek, Özgün, Abdulkadir, Ahmed, Lienkamp, Soeren S., Brox, Thomas, Ronneberger, Olaf |
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 % |
---|---|---|
Sweden | 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 3,121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | <1% |
United States | 2 | <1% |
France | 1 | <1% |
Unknown | 3115 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 590 | 19% |
Student > Master | 480 | 15% |
Researcher | 355 | 11% |
Student > Bachelor | 229 | 7% |
Student > Doctoral Student | 98 | 3% |
Other | 334 | 11% |
Unknown | 1035 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 820 | 26% |
Engineering | 554 | 18% |
Medicine and Dentistry | 136 | 4% |
Physics and Astronomy | 92 | 3% |
Agricultural and Biological Sciences | 64 | 2% |
Other | 286 | 9% |
Unknown | 1169 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 26 September 2023.
All research outputs
#1,675,964
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#245
of 8,229 outputs
Outputs of similar age
#29,275
of 335,986 outputs
Outputs of similar age from Lecture notes in computer science
#20
of 553 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 96% 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 335,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 553 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.