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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain Tumor Segmentation and Survival Prediction Using Multimodal MRI Scans With Deep Learning
|
|---|---|
| Published in |
Frontiers in Neuroscience, August 2019
|
| DOI | 10.3389/fnins.2019.00810 |
| Pubmed ID | |
| Authors |
Li Sun, Songtao Zhang, Hang Chen, Lin Luo |
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 % |
|---|---|---|
| Sudan | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
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 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 242 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 14% |
| Student > Master | 32 | 13% |
| Student > Bachelor | 17 | 7% |
| Researcher | 11 | 5% |
| Student > Doctoral Student | 10 | 4% |
| Other | 30 | 12% |
| Unknown | 108 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 26% |
| Engineering | 30 | 12% |
| Medicine and Dentistry | 14 | 6% |
| Agricultural and Biological Sciences | 2 | <1% |
| Business, Management and Accounting | 2 | <1% |
| Other | 12 | 5% |
| Unknown | 120 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 24 May 2024.
All research outputs
#4,757,289
of 25,978,998 outputs
Outputs from Frontiers in Neuroscience
#3,636
of 11,746 outputs
Outputs of similar age
#81,504
of 340,925 outputs
Outputs of similar age from Frontiers in Neuroscience
#104
of 340 outputs
Altmetric has tracked 25,978,998 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,746 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 68% 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 340,925 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 76% of its contemporaries.
We're also able to compare this research output to 340 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.