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
Attention Score in Context
| Title |
Automated segmentation of 3D cine cardiovascular magnetic resonance imaging
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, October 2023
|
| DOI | 10.3389/fcvm.2023.1167500 |
| Pubmed ID | |
| Authors |
Soroosh Tayebi Arasteh, Jennifer Romanowicz, Danielle F. Pace, Polina Golland, Andrew J. Powell, Andreas K. Maier, Daniel Truhn, Tom Brosch, Juergen Weese, Mahshad Lotfinia, Rob J. van der Geest, Mehdi H. Moghari |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 February 2024.
All research outputs
#15,067,353
of 25,337,969 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,007
of 9,138 outputs
Outputs of similar age
#145,002
of 348,213 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#83
of 508 outputs
Altmetric has tracked 25,337,969 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,138 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% 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 348,213 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 57% of its contemporaries.
We're also able to compare this research output to 508 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.