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Mathematical method to build an empirical model for inhaled anesthetic agent wash-in

Overview of attention for article published in BMC Anesthesiology, June 2011
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Title
Mathematical method to build an empirical model for inhaled anesthetic agent wash-in
Published in
BMC Anesthesiology, June 2011
DOI 10.1186/1471-2253-11-13
Pubmed ID
Authors

Jan FA Hendrickx, Harry Lemmens, Sofie De Cooman, André AJ Van Zundert, René EJ Grouls, Eric Mortier, Andre M De Wolf

Abstract

The wide range of fresh gas flow - vaporizer setting (FGF - FD) combinations used by different anesthesiologists during the wash-in period of inhaled anesthetics indicates that the selection of FGF and FD is based on habit and personal experience. An empirical model could rationalize FGF - FD selection during wash-in.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Master 3 23%
Other 2 15%
Lecturer 2 15%
Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 7 54%
Nursing and Health Professions 1 8%
Chemistry 1 8%
Agricultural and Biological Sciences 1 8%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 October 2011.
All research outputs
#14,134,869
of 22,649,029 outputs
Outputs from BMC Anesthesiology
#507
of 1,474 outputs
Outputs of similar age
#79,814
of 115,099 outputs
Outputs of similar age from BMC Anesthesiology
#2
of 3 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,474 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 61% 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 115,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.