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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, April 2020
|
| DOI | 10.3389/fncom.2020.00025 |
| Pubmed ID | |
| Authors |
Xue Feng, Nicholas J. Tustison, Sohil H. Patel, Craig H. Meyer |
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 % |
|---|---|---|
| Netherlands | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 12% |
| Student > Master | 12 | 8% |
| Student > Bachelor | 11 | 7% |
| Lecturer | 8 | 5% |
| Researcher | 7 | 5% |
| Other | 16 | 10% |
| Unknown | 82 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 15% |
| Engineering | 22 | 14% |
| Medicine and Dentistry | 7 | 5% |
| Unspecified | 4 | 3% |
| Physics and Astronomy | 3 | 2% |
| Other | 6 | 4% |
| Unknown | 89 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 April 2020.
All research outputs
#18,057,409
of 23,202,641 outputs
Outputs from Frontiers in Computational Neuroscience
#969
of 1,365 outputs
Outputs of similar age
#264,852
of 373,436 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#23
of 26 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,365 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 373,436 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.