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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
|
---|---|
Chapter number | 28 |
Book title |
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
|
Published in |
arXiv, September 2017
|
DOI | 10.1007/978-3-319-67558-9_28 |
Pubmed ID | |
Book ISBNs |
978-3-31-967557-2, 978-3-31-967558-9
|
Authors |
Carole H Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso, Carole H. Sudre, Sebastien Ourselin, Sudre, CH, Li, W, Vercauteren, T, Ourselin, S, Cardoso, MJ, Sudre, Carole H., Li, Wenqi, Vercauteren, Tom, Ourselin, Sebastien, Jorge Cardoso, M. |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 29% |
France | 2 | 8% |
Germany | 1 | 4% |
Canada | 1 | 4% |
Chile | 1 | 4% |
Italy | 1 | 4% |
India | 1 | 4% |
Unknown | 10 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 19 | 79% |
Scientists | 4 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1194 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 233 | 20% |
Student > Master | 205 | 17% |
Researcher | 122 | 10% |
Student > Bachelor | 82 | 7% |
Student > Doctoral Student | 42 | 4% |
Other | 112 | 9% |
Unknown | 398 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 332 | 28% |
Engineering | 225 | 19% |
Medicine and Dentistry | 34 | 3% |
Physics and Astronomy | 28 | 2% |
Mathematics | 15 | 1% |
Other | 91 | 8% |
Unknown | 469 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 11 April 2023.
All research outputs
#2,104,841
of 25,809,966 outputs
Outputs from arXiv
#32,826
of 936,683 outputs
Outputs of similar age
#39,169
of 325,411 outputs
Outputs of similar age from arXiv
#564
of 16,568 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 936,683 research outputs from this source. They receive a mean Attention Score of 4.3. 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 325,411 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 16,568 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.