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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
|
|---|---|
| Published in |
Frontiers in Neuroscience, December 2020
|
| DOI | 10.3389/fnins.2020.592352 |
| Pubmed ID | |
| Authors |
Giles Tetteh, Velizar Efremov, Nils D. Forkert, Matthias Schneider, Jan Kirschke, Bruno Weber, Claus Zimmer, Marie Piraud, Björn H. Menze |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 40% |
| United States | 1 | 20% |
| Netherlands | 1 | 20% |
| Spain | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 318 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 23% |
| Student > Master | 49 | 15% |
| Researcher | 46 | 14% |
| Student > Bachelor | 26 | 8% |
| Student > Doctoral Student | 8 | 3% |
| Other | 25 | 8% |
| Unknown | 92 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 88 | 28% |
| Engineering | 53 | 17% |
| Medicine and Dentistry | 13 | 4% |
| Neuroscience | 12 | 4% |
| Biochemistry, Genetics and Molecular Biology | 9 | 3% |
| Other | 30 | 9% |
| Unknown | 113 | 36% |
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 14 January 2021.
All research outputs
#3,140,852
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#2,206
of 11,543 outputs
Outputs of similar age
#81,865
of 518,674 outputs
Outputs of similar age from Frontiers in Neuroscience
#170
of 363 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 80% 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 518,674 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 84% of its contemporaries.
We're also able to compare this research output to 363 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.