You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Finite-element-method (FEM) model generation of time-resolved 3D echocardiographic geometry data for mitral-valve volumetry
|
|---|---|
| Published in |
BioMedical Engineering OnLine, March 2006
|
| DOI | 10.1186/1475-925x-5-17 |
| Pubmed ID | |
| Authors |
Janko F Verhey, Nadia S Nathan, Otto Rienhoff, Ron Kikinis, Fabian Rakebrandt, Michael N D'Ambra |
| Abstract |
Mitral Valve (MV) 3D structural data can be easily obtained using standard transesophageal echocardiography (TEE) devices but quantitative pre- and intraoperative volume analysis of the MV is presently not feasible in the cardiac operation room (OR). Finite element method (FEM) modelling is necessary to carry out precise and individual volume analysis and in the future will form the basis for simulation of cardiac interventions. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ukraine | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Bachelor | 10 | 19% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 11 | 21% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 42% |
| Medicine and Dentistry | 15 | 29% |
| Agricultural and Biological Sciences | 3 | 6% |
| Computer Science | 3 | 6% |
| Physics and Astronomy | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 July 2021.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from BioMedical Engineering OnLine
#207
of 824 outputs
Outputs of similar age
#24,504
of 71,291 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 5 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 62% 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 71,291 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.