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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2019
|
| DOI | 10.3389/fnins.2019.00097 |
| Pubmed ID | |
| Authors |
Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay, Tabea Kossen, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey, Vince I. Madai |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 218 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 17% |
| Student > Ph. D. Student | 31 | 14% |
| Researcher | 22 | 10% |
| Student > Bachelor | 19 | 9% |
| Professor > Associate Professor | 7 | 3% |
| Other | 23 | 11% |
| Unknown | 80 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 44 | 20% |
| Engineering | 34 | 16% |
| Medicine and Dentistry | 12 | 6% |
| Neuroscience | 10 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 2% |
| Other | 18 | 8% |
| Unknown | 96 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 April 2022.
All research outputs
#3,408,261
of 25,837,817 outputs
Outputs from Frontiers in Neuroscience
#2,584
of 11,678 outputs
Outputs of similar age
#72,728
of 370,424 outputs
Outputs of similar age from Frontiers in Neuroscience
#75
of 346 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,678 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 done well, scoring higher than 76% 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 370,424 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 79% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.