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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ability of pleth variability index to detect hemodynamic changes induced by passive leg raising in spontaneously breathing volunteers
|
|---|---|
| Published in |
Critical Care, March 2008
|
| DOI | 10.1186/cc6822 |
| Pubmed ID | |
| Authors |
Geoffray Keller, Emmanuel Cassar, Olivier Desebbe, Jean-Jacques Lehot, Maxime Cannesson |
| Abstract |
Pleth Variability Index (PVI) is a new algorithm that allows continuous and automatic estimation of respiratory variations in the pulse oximeter waveform amplitude. Our aim was to test its ability to detect changes in preload induced by passive leg raising (PLR) in spontaneously breathing volunteers. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Turkey | 1 | <1% |
| Netherlands | 1 | <1% |
| Bulgaria | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Belgium | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 127 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 25 | 18% |
| Researcher | 22 | 16% |
| Student > Ph. D. Student | 16 | 12% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 12 | 9% |
| Other | 33 | 24% |
| Unknown | 15 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 90 | 66% |
| Engineering | 11 | 8% |
| Nursing and Health Professions | 6 | 4% |
| Agricultural and Biological Sciences | 2 | 1% |
| Computer Science | 1 | <1% |
| Other | 8 | 6% |
| Unknown | 19 | 14% |
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 28 July 2023.
All research outputs
#7,355,930
of 25,374,647 outputs
Outputs from Critical Care
#4,041
of 6,554 outputs
Outputs of similar age
#30,259
of 95,742 outputs
Outputs of similar age from Critical Care
#10
of 41 outputs
Altmetric has tracked 25,374,647 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 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 37th percentile – i.e., 37% 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 95,742 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 66% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.