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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Segmentation of Peripheral Nerves From Magnetic Resonance Neurography: A Fully-Automatic, Deep Learning-Based Approach
|
|---|---|
| Published in |
Frontiers in Neurology, September 2018
|
| DOI | 10.3389/fneur.2018.00777 |
| Pubmed ID | |
| Authors |
Fabian Balsiger, Carolin Steindel, Mirjam Arn, Benedikt Wagner, Lorenz Grunder, Marwan El-Koussy, Waldo Valenzuela, Mauricio Reyes, Olivier Scheidegger |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | 75% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
| Members of the public | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 5 | 9% |
| Other | 4 | 7% |
| Student > Bachelor | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 31% |
| Computer Science | 5 | 9% |
| Engineering | 5 | 9% |
| Mathematics | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 21 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 October 2019.
All research outputs
#6,897,088
of 23,102,082 outputs
Outputs from Frontiers in Neurology
#4,363
of 12,015 outputs
Outputs of similar age
#121,452
of 342,003 outputs
Outputs of similar age from Frontiers in Neurology
#90
of 301 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 12,015 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 63% 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 342,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 301 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.