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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fluid–structure interaction simulations outperform computational fluid dynamics in the description of thoracic aorta haemodynamics and in the differentiation of progressive dilation in Marfan syndrome patients
|
|---|---|
| Published in |
Royal Society Open Science, February 2020
|
| DOI | 10.1098/rsos.191752 |
| Pubmed ID | |
| Authors |
R. Pons, A. Guala, J. F. Rodríguez-Palomares, J. C. Cajas, L. Dux-Santoy, G. Teixidó-Tura, J. J. Molins, M. Vázquez, A. Evangelista, J. Martorell |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Researcher | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Student > Master | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 28% |
| Medicine and Dentistry | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Mathematics | 2 | 3% |
| Materials Science | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 25 | 43% |
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 08 April 2020.
All research outputs
#15,598,026
of 23,191,112 outputs
Outputs from Royal Society Open Science
#3,135
of 4,151 outputs
Outputs of similar age
#269,328
of 449,685 outputs
Outputs of similar age from Royal Society Open Science
#113
of 165 outputs
Altmetric has tracked 23,191,112 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 50.0. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 449,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.