| Title |
Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, March 2019
|
| DOI | 10.1186/s12968-019-0523-x |
| Pubmed ID | |
| Authors |
Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 9 | 53% |
| Spain | 2 | 12% |
| United States | 1 | 6% |
| Germany | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 3 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 47% |
| Scientists | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 3 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 23% |
| Researcher | 32 | 20% |
| Student > Master | 20 | 12% |
| Student > Bachelor | 10 | 6% |
| Student > Doctoral Student | 6 | 4% |
| Other | 21 | 13% |
| Unknown | 37 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 43 | 26% |
| Computer Science | 30 | 18% |
| Medicine and Dentistry | 22 | 13% |
| Neuroscience | 4 | 2% |
| Biochemistry, Genetics and Molecular Biology | 4 | 2% |
| Other | 15 | 9% |
| Unknown | 45 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 18 June 2020.
All research outputs
#3,554,173
of 25,523,622 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#195
of 1,379 outputs
Outputs of similar age
#74,977
of 365,494 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#4
of 15 outputs
Altmetric has tracked 25,523,622 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 1,379 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 done well, scoring higher than 85% 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 365,494 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 15 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 73% of its contemporaries.