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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling isovolumetric phases in cardiac flows by an Augmented Resistive Immersed Implicit Surface method
|
|---|---|
| Published in |
International Journal for Numerical Methods in Biomedical Engineering, August 2023
|
| DOI | 10.1002/cnm.3767 |
| Pubmed ID | |
| Authors |
Alberto Zingaro, Michele Bucelli, Ivan Fumagalli, Luca Dede', Alfio Quarteroni |
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 % |
|---|---|---|
| Italy | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 22% |
| Professor > Associate Professor | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 33% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 5 | 56% |
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 03 September 2023.
All research outputs
#7,471,823
of 24,378,986 outputs
Outputs from International Journal for Numerical Methods in Biomedical Engineering
#64
of 400 outputs
Outputs of similar age
#59,333
of 193,842 outputs
Outputs of similar age from International Journal for Numerical Methods in Biomedical Engineering
#1
of 2 outputs
Altmetric has tracked 24,378,986 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 400 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 83% 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 193,842 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 69% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them