Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images
|
|---|---|
| Book title |
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
|
| Published in |
arXiv, March 2021
|
| DOI | 10.1007/978-3-030-72084-1_31 |
| Book ISBNs |
978-3-03-072083-4, 978-3-03-072084-1
|
| Authors |
Vaanathi Sundaresan, Ludovica Griffanti, Mark Jenkinson, Sundaresan, Vaanathi, Griffanti, Ludovica, Jenkinson, Mark |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Unspecified | 2 | 9% |
| Librarian | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 13 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 13% |
| Unspecified | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Neuroscience | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 15 | 65% |
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 25 May 2021.
All research outputs
#14,879,188
of 24,093,053 outputs
Outputs from arXiv
#262,290
of 1,018,817 outputs
Outputs of similar age
#225,888
of 426,772 outputs
Outputs of similar age from arXiv
#8,453
of 33,070 outputs
Altmetric has tracked 24,093,053 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 1,018,817 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 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 426,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,070 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 71% of its contemporaries.