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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Algorithmic processing of pressure waveforms to facilitate estimation of cardiac elastance
|
|---|---|
| Published in |
BioMedical Engineering OnLine, June 2012
|
| DOI | 10.1186/1475-925x-11-28 |
| Pubmed ID | |
| Authors |
David Stevenson, James Revie, J Geoffrey Chase, Christopher E Hann, Geoffrey M Shaw, Bernard Lambermont, Alexandre Ghuysen, Philippe Kolh, Thomas Desaive |
| Abstract |
Cardiac elastances are highly invasive to measure directly, but are clinically useful due to the amount of information embedded in them. Information about the cardiac elastance, which can be used to estimate it, can be found in the downstream pressure waveforms of the aortic pressure (P(ao)) and the pulmonary artery (P(pa)). However these pressure waveforms are typically noisy and biased, and require processing in order to locate the specific information required for cardiac elastance estimations. This paper presents the method to algorithmically process the pressure waveforms. |
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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 25% |
| Researcher | 6 | 21% |
| Professor | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Other | 5 | 18% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 57% |
| Medicine and Dentistry | 3 | 11% |
| Physics and Astronomy | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 3 | 11% |
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 20 June 2012.
All research outputs
#18,308,895
of 22,668,244 outputs
Outputs from BioMedical Engineering OnLine
#564
of 821 outputs
Outputs of similar age
#127,849
of 166,052 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 11 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. 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 166,052 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 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.