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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, January 2019
|
| DOI | 10.1186/s12968-018-0509-0 |
| Pubmed ID | |
| Authors |
Alex Bratt, Jiwon Kim, Meridith Pollie, Ashley N. Beecy, Nathan H. Tehrani, Noel Codella, Rocio Perez-Johnston, Maria Chiara Palumbo, Javid Alakbarli, Wayne Colizza, Ian R. Drexler, Clerio F. Azevedo, Raymond J. Kim, Richard B. Devereux, Jonathan W. Weinsaft |
X Demographics
The data shown below were collected from the profiles of 27 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 States | 6 | 22% |
| United Kingdom | 5 | 19% |
| Nepal | 1 | 4% |
| France | 1 | 4% |
| Spain | 1 | 4% |
| Romania | 1 | 4% |
| Cyprus | 1 | 4% |
| Singapore | 1 | 4% |
| Germany | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 44% |
| Scientists | 6 | 22% |
| Practitioners (doctors, other healthcare professionals) | 6 | 22% |
| Science communicators (journalists, bloggers, editors) | 3 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 17% |
| Student > Ph. D. Student | 20 | 14% |
| Student > Master | 17 | 12% |
| Student > Bachelor | 11 | 8% |
| Other | 8 | 6% |
| Other | 18 | 13% |
| Unknown | 42 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 25% |
| Engineering | 27 | 19% |
| Computer Science | 11 | 8% |
| Business, Management and Accounting | 2 | 1% |
| Neuroscience | 2 | 1% |
| Other | 8 | 6% |
| Unknown | 54 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 21 December 2019.
All research outputs
#2,671,162
of 25,806,080 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#126
of 1,388 outputs
Outputs of similar age
#59,540
of 448,113 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#4
of 26 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,388 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 90% 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 448,113 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 86% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.