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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances in machine learning applications for cardiovascular 4D flow MRI
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, December 2022
|
| DOI | 10.3389/fcvm.2022.1052068 |
| Pubmed ID | |
| Authors |
Eva S. Peper, Pim van Ooij, Bernd Jung, Adrian Huber, Christoph Gräni, Jessica A. M. Bastiaansen |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Other | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Student > Master | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 18 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 13% |
| Medicine and Dentistry | 3 | 10% |
| Business, Management and Accounting | 1 | 3% |
| Unspecified | 1 | 3% |
| Chemistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 19 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 January 2023.
All research outputs
#16,603,392
of 25,218,929 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,722
of 9,050 outputs
Outputs of similar age
#255,813
of 484,955 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#184
of 802 outputs
Altmetric has tracked 25,218,929 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,050 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 63% 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 484,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 802 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 70% of its contemporaries.