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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Iterative integral parameter identification of a respiratory mechanics model
|
|---|---|
| Published in |
BioMedical Engineering OnLine, July 2012
|
| DOI | 10.1186/1475-925x-11-38 |
| Pubmed ID | |
| Authors |
Christoph Schranz, Paul D Docherty, Yeong Shiong Chiew, Knut Möller, J Geoffrey Chase |
| Abstract |
Patient-specific respiratory mechanics models can support the evaluation of optimal lung protective ventilator settings during ventilation therapy. Clinical application requires that the individual's model parameter values must be identified with information available at the bedside. Multiple linear regression or gradient-based parameter identification methods are highly sensitive to noise and initial parameter estimates. Thus, they are difficult to apply at the bedside to support therapeutic decisions. |
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 % |
|---|---|---|
| Mexico | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Switzerland | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 31 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 5 | 14% |
| Researcher | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Other | 3 | 9% |
| Other | 6 | 17% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 54% |
| Medicine and Dentistry | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Psychology | 1 | 3% |
| Unknown | 9 | 26% |
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 19 July 2012.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from BioMedical Engineering OnLine
#607
of 867 outputs
Outputs of similar age
#139,213
of 178,036 outputs
Outputs of similar age from BioMedical Engineering OnLine
#14
of 26 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 15th percentile – i.e., 15% 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 178,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.