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Model-based patient matching for in-parallel pressure-controlled ventilation

Overview of attention for article published in BioMedical Engineering OnLine, February 2022
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Mentioned by

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1 X user

Readers on

mendeley
18 Mendeley
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Title
Model-based patient matching for in-parallel pressure-controlled ventilation
Published in
BioMedical Engineering OnLine, February 2022
DOI 10.1186/s12938-022-00983-y
Pubmed ID
Authors

Jin Wai Wong, Yeong Shiong Chiew, Thomas Desaive, J. Geoffrey Chase

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 11%
Student > Postgraduate 2 11%
Professor 2 11%
Student > Bachelor 1 6%
Researcher 1 6%
Other 1 6%
Unknown 9 50%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Engineering 2 11%
Economics, Econometrics and Finance 1 6%
Social Sciences 1 6%
Nursing and Health Professions 1 6%
Other 0 0%
Unknown 9 50%
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 03 March 2022.
All research outputs
#20,662,373
of 23,257,423 outputs
Outputs from BioMedical Engineering OnLine
#700
of 833 outputs
Outputs of similar age
#421,226
of 513,352 outputs
Outputs of similar age from BioMedical Engineering OnLine
#8
of 10 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 833 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 513,352 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.