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 |
Evaluation of a novel closed-loop fluid-administration system based on dynamic predictors of fluid responsiveness: an in silico simulation study
|
|---|---|
| Published in |
Critical Care, November 2011
|
| DOI | 10.1186/cc10562 |
| Pubmed ID | |
| Authors |
Joseph Rinehart, Brenton Alexander, Yannick Le Manach, Christoph K Hofer, Benoit Tavernier, Zeev N Kain, Maxime Cannesson |
| Abstract |
Dynamic predictors of fluid responsiveness have made automated management of fluid resuscitation more practical. We present initial simulation data for a novel closed-loop fluid-management algorithm (LIR, Learning Intravenous Resuscitator). |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 4% |
| Brazil | 1 | 1% |
| Unknown | 68 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 11 | 15% |
| Student > Ph. D. Student | 11 | 15% |
| Researcher | 9 | 13% |
| Student > Master | 8 | 11% |
| Professor | 5 | 7% |
| Other | 15 | 21% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 43% |
| Engineering | 16 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Computer Science | 2 | 3% |
| Social Sciences | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 18 | 25% |
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 27 June 2023.
All research outputs
#7,960,052
of 25,373,627 outputs
Outputs from Critical Care
#4,224
of 6,554 outputs
Outputs of similar age
#65,646
of 245,312 outputs
Outputs of similar age from Critical Care
#24
of 74 outputs
Altmetric has tracked 25,373,627 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 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 34th percentile – i.e., 34% 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 245,312 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 71% of its contemporaries.
We're also able to compare this research output to 74 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 67% of its contemporaries.