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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
|
---|---|
Chapter number | 5 |
Book title |
Machine Learning in Medical Imaging
|
Published in |
arXiv, September 2020
|
DOI | 10.1007/978-3-030-59861-7_5 |
Book ISBNs |
978-3-03-059860-0, 978-3-03-059861-7
|
Authors |
Eva Schnider, Antal Horváth, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin |
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 % |
---|---|---|
Switzerland | 2 | 33% |
Japan | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Librarian | 1 | 6% |
Unknown | 11 | 69% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 19% |
Agricultural and Biological Sciences | 1 | 6% |
Materials Science | 1 | 6% |
Unknown | 11 | 69% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 October 2020.
All research outputs
#7,758,831
of 24,093,053 outputs
Outputs from arXiv
#168,062
of 1,020,419 outputs
Outputs of similar age
#163,045
of 413,809 outputs
Outputs of similar age from arXiv
#5,344
of 33,379 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 82% 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 413,809 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 33,379 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.