You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep-learning method for fully automatic segmentation of the abdominal aortic aneurysm from computed tomography imaging
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, January 2023
|
| DOI | 10.3389/fcvm.2022.1040053 |
| Pubmed ID | |
| Authors |
Atefeh Abdolmanafi, Arianna Forneris, Randy D. Moore, Elena S. Di Martino |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 18% |
| Student > Ph. D. Student | 4 | 14% |
| Researcher | 3 | 11% |
| Unspecified | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 18% |
| Medicine and Dentistry | 5 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Unspecified | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 15 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2023.
All research outputs
#18,071,805
of 23,223,705 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,917
of 7,128 outputs
Outputs of similar age
#265,198
of 416,559 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#206
of 702 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,128 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 53% 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 416,559 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 702 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 64% of its contemporaries.