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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net
|
---|---|
Chapter number | 91 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published in |
arXiv, October 2019
|
DOI | 10.1007/978-3-030-32248-9_91 |
Book ISBNs |
978-3-03-032247-2, 978-3-03-032248-9
|
Authors |
Avetisian Manvel, Kokh Vladimir, Tuzhilin Alexander, Umerenkov Dmitry, Manvel Avetisian, Vladimir Kokh, Alex Tuzhilin, Dmitry Umerenkov, Manvel, Avetisian, Vladimir, Kokh, Alexander, Tuzhilin, Dmitry, Umerenkov |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 18% |
Student > Bachelor | 3 | 14% |
Professor > Associate Professor | 2 | 9% |
Student > Master | 2 | 9% |
Lecturer | 1 | 5% |
Other | 2 | 9% |
Unknown | 8 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 32% |
Medicine and Dentistry | 3 | 14% |
Engineering | 2 | 9% |
Environmental Science | 1 | 5% |
Mathematics | 1 | 5% |
Other | 0 | 0% |
Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 April 2020.
All research outputs
#14,338,684
of 24,093,053 outputs
Outputs from arXiv
#237,404
of 1,018,817 outputs
Outputs of similar age
#180,841
of 357,860 outputs
Outputs of similar age from arXiv
#8,372
of 29,151 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 74% 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 357,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29,151 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 69% of its contemporaries.