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Model-based PEEP optimisation in mechanical ventilation

Overview of attention for article published in BioMedical Engineering OnLine, December 2011
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1 tweeter

Citations

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97 Dimensions

Readers on

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71 Mendeley
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Title
Model-based PEEP optimisation in mechanical ventilation
Published in
BioMedical Engineering OnLine, December 2011
DOI 10.1186/1475-925x-10-111
Pubmed ID
Authors

Yeong Shiong Chiew, J Geoffrey Chase, Geoffrey M Shaw, Ashwath Sundaresan, Thomas Desaive

Abstract

Acute Respiratory Distress Syndrome (ARDS) patients require mechanical ventilation (MV) for breathing support. Patient-specific PEEP is encouraged for treating different patients but there is no well established method in optimal PEEP selection.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 1%
Chile 1 1%
Australia 1 1%
New Zealand 1 1%
Korea, Republic of 1 1%
Spain 1 1%
United States 1 1%
Unknown 64 90%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 17%
Student > Ph. D. Student 9 13%
Student > Postgraduate 8 11%
Other 7 10%
Researcher 7 10%
Other 19 27%
Unknown 9 13%
Readers by discipline Count As %
Medicine and Dentistry 28 39%
Engineering 20 28%
Nursing and Health Professions 4 6%
Physics and Astronomy 2 3%
Mathematics 1 1%
Other 3 4%
Unknown 13 18%

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 05 January 2012.
All research outputs
#15,055,021
of 18,796,975 outputs
Outputs from BioMedical Engineering OnLine
#495
of 738 outputs
Outputs of similar age
#180,350
of 234,783 outputs
Outputs of similar age from BioMedical Engineering OnLine
#27
of 35 outputs
Altmetric has tracked 18,796,975 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 738 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 18th percentile – i.e., 18% 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 234,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.