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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated Left Ventricle Ischemic Scar Detection in CT Using Deep Neural Networks
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, July 2021
|
| DOI | 10.3389/fcvm.2021.655252 |
| Pubmed ID | |
| Authors |
Hugh O'Brien, John Whitaker, Baldeep Singh Sidhu, Justin Gould, Tanja Kurzendorfer, Mark D. O'Neill, Ronak Rajani, Karine Grigoryan, Christopher Aldo Rinaldi, Jonathan Taylor, Kawal Rhode, Peter Mountney, Steven Niederer |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 22% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 26% |
| Computer Science | 3 | 13% |
| Mathematics | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
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 05 May 2022.
All research outputs
#7,406,066
of 23,308,124 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,206
of 7,208 outputs
Outputs of similar age
#155,500
of 441,443 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#88
of 504 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,208 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 82% 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 441,443 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 504 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.