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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation
|
---|---|
Chapter number | 6 |
Book title |
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-11726-9_6 |
Book ISBNs |
978-3-03-011725-2, 978-3-03-011726-9
|
Authors |
Guotai Wang, Wenqi Li, Sebastien Ourselin, Tom Vercauteren, Sébastien Ourselin, Wang, Guotai, Li, Wenqi, Ourselin, Sébastien, Vercauteren, Tom |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
Netherlands | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 121 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 17% |
Student > Master | 16 | 13% |
Researcher | 10 | 8% |
Student > Doctoral Student | 7 | 6% |
Student > Bachelor | 7 | 6% |
Other | 13 | 11% |
Unknown | 47 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 41 | 34% |
Engineering | 16 | 13% |
Medicine and Dentistry | 4 | 3% |
Neuroscience | 3 | 2% |
Sports and Recreations | 1 | <1% |
Other | 3 | 2% |
Unknown | 53 | 44% |
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 23 October 2018.
All research outputs
#15,484,645
of 24,998,746 outputs
Outputs from arXiv
#266,118
of 1,020,287 outputs
Outputs of similar age
#175,046
of 316,938 outputs
Outputs of similar age from arXiv
#7,195
of 22,077 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 71% 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 316,938 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,077 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 63% of its contemporaries.