| Title |
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, September 2018
|
| DOI | 10.1186/s12968-018-0471-x |
| Pubmed ID | |
| Authors |
Wenjia Bai, Matthew Sinclair, Giacomo Tarroni, Ozan Oktay, Martin Rajchl, Ghislain Vaillant, Aaron M. Lee, Nay Aung, Elena Lukaschuk, Mihir M. Sanghvi, Filip Zemrak, Kenneth Fung, Jose Miguel Paiva, Valentina Carapella, Young Jin Kim, Hideaki Suzuki, Bernhard Kainz, Paul M. Matthews, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Ben Glocker, Daniel Rueckert |
X Demographics
The data shown below were collected from the profiles of 37 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 | 10 | 27% |
| United States | 6 | 16% |
| Italy | 2 | 5% |
| Canada | 1 | 3% |
| Lebanon | 1 | 3% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| Sweden | 1 | 3% |
| Netherlands | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 54% |
| Practitioners (doctors, other healthcare professionals) | 9 | 24% |
| Scientists | 7 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 378 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 378 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 5% |
| Researcher | 15 | 4% |
| Lecturer | 8 | 2% |
| Student > Master | 6 | 2% |
| Student > Doctoral Student | 5 | 1% |
| Other | 14 | 4% |
| Unknown | 312 | 83% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 4% |
| Medicine and Dentistry | 15 | 4% |
| Computer Science | 15 | 4% |
| Business, Management and Accounting | 2 | <1% |
| Unspecified | 2 | <1% |
| Other | 13 | 3% |
| Unknown | 315 | 83% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 August 2021.
All research outputs
#1,690,164
of 25,837,817 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#55
of 1,392 outputs
Outputs of similar age
#34,626
of 349,866 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#4
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,392 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 particularly well, scoring higher than 95% 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 349,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 19 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.