| Title |
Editorial: Special Issue on Verification, Validation, and Uncertainty Quantification of Cardiovascular Models: Towards Effective VVUQ for Translating Cardiovascular Modelling to Clinical Utility
|
|---|---|
| Published in |
Cardiovascular Engineering and Technology, November 2018
|
| DOI | 10.1007/s13239-018-00393-z |
| Pubmed ID | |
| Authors |
David A. Steinman, Francesco Migliavacca |
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 | 2 | 50% |
| Canada | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 23% |
| Researcher | 8 | 13% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 23 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 24 | 38% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 2 | 3% |
| Mathematics | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 30 | 47% |
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 15 November 2018.
All research outputs
#6,961,239
of 23,112,054 outputs
Outputs from Cardiovascular Engineering and Technology
#28
of 174 outputs
Outputs of similar age
#123,386
of 344,938 outputs
Outputs of similar age from Cardiovascular Engineering and Technology
#2
of 8 outputs
Altmetric has tracked 23,112,054 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 174 research outputs from this source. They receive a mean Attention Score of 3.7. 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 344,938 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 63% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.