↓ Skip to main content
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
93 Mendeley
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.
Article details
Title
Optimal Management of the Critically Ill: Anaesthesia, Monitoring, Data Capture, and Point‐of‐Care Technological Practices in Ovine Models of Critical Care
Published in
BioMed Research International, March 2014
DOI 10.1155/2014/468309
Pubmed ID
Authors
Abstract

Animal models of critical illness are vital in biomedical research. They provide possibilities for the investigation of pathophysiological processes that may not otherwise be possible in humans. In order to be clinically applicable, the model should simulate the critical care situation realistically, including anaesthesia, monitoring, sampling, utilising appropriate personnel skill mix, and therapeutic interventions. There are limited data documenting the constitution of ideal technologically advanced large animal critical care practices and all the processes of the animal model. In this paper, we describe the procedure of animal preparation, anaesthesia induction and maintenance, physiologic monitoring, data capture, point-of-care technology, and animal aftercare that has been successfully used to study several novel ovine models of critical illness. The relevant investigations are on respiratory failure due to smoke inhalation, transfusion related acute lung injury, endotoxin-induced proteogenomic alterations, haemorrhagic shock, septic shock, brain death, cerebral microcirculation, and artificial heart studies. We have demonstrated the functionality of monitoring practices during anaesthesia required to provide a platform for undertaking systematic investigations in complex ovine models of critical illness.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Australia 1 1%
Unknown 92 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 15%
Student > Bachelor 9 10%
Student > Master 9 10%
Student > Doctoral Student 6 6%
Student > Ph. D. Student 6 6%
Other 15 16%
Unknown 34 37%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 30 32%
Nursing and Health Professions 6 6%
Veterinary Science and Veterinary Medicine 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Engineering 4 4%
Other 6 6%
Unknown 37 40%
Attention Score in Context

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 21 May 2014.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from BioMed Research International
#6,824
of 10,759 outputs
Outputs of similar age
#174,922
of 237,681 outputs
Outputs of similar age from BioMed Research International
#313
of 453 outputs
Altmetric has tracked 25,374,917 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 10,759 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 23rd percentile – i.e., 23% 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 237,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 453 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.