Title |
Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations
|
---|---|
Published in |
Medical & Biological Engineering & Computing, January 2013
|
DOI | 10.1007/s11517-012-1027-0 |
Pubmed ID | |
Authors |
J. Weese, A. Groth, H. Nickisch, H. Barschdorf, F. M. Weber, J. Velut, M. Castro, C. Toumoulin, J. L. Coatrieux, M. De Craene, G. Piella, C. Tobón-Gomez, A. F. Frangi, D. C. Barber, I. Valverde, Y. Shi, C. Staicu, A. Brown, P. Beerbaum, D. R. Hose |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 1% |
Austria | 1 | 1% |
United Kingdom | 1 | 1% |
New Zealand | 1 | 1% |
Spain | 1 | 1% |
Unknown | 64 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 23% |
Researcher | 12 | 17% |
Student > Master | 11 | 16% |
Professor > Associate Professor | 6 | 9% |
Student > Doctoral Student | 5 | 7% |
Other | 15 | 22% |
Unknown | 4 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 21 | 30% |
Medicine and Dentistry | 13 | 19% |
Computer Science | 10 | 14% |
Unspecified | 2 | 3% |
Nursing and Health Professions | 2 | 3% |
Other | 10 | 14% |
Unknown | 11 | 16% |
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 26 July 2016.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Medical & Biological Engineering & Computing
#522
of 2,053 outputs
Outputs of similar age
#80,715
of 290,719 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 73% 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 290,719 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 70% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.