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Reconstructing asynchrony for mechanical ventilation using a hysteresis loop virtual patient model

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

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1 X user

Citations

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10 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Reconstructing asynchrony for mechanical ventilation using a hysteresis loop virtual patient model
Published in
BioMedical Engineering OnLine, March 2022
DOI 10.1186/s12938-022-00986-9
Pubmed ID
Authors

Cong Zhou, J. Geoffrey Chase, Qianhui Sun, Jennifer Knopp, Merryn H. Tawhai, Thomas Desaive, Knut Möller, Geoffrey M. Shaw, Yeong Shiong Chiew, Balazs Benyo

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 14%
Student > Ph. D. Student 2 14%
Professor 1 7%
Lecturer 1 7%
Other 1 7%
Other 0 0%
Unknown 7 50%
Readers by discipline Count As %
Social Sciences 2 14%
Computer Science 2 14%
Engineering 2 14%
Medicine and Dentistry 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 6 43%
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 07 March 2022.
All research outputs
#20,693,952
of 23,292,144 outputs
Outputs from BioMedical Engineering OnLine
#701
of 834 outputs
Outputs of similar age
#361,600
of 440,135 outputs
Outputs of similar age from BioMedical Engineering OnLine
#8
of 9 outputs
Altmetric has tracked 23,292,144 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 834 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 440,135 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 9 others from the same source and published within six weeks on either side of this one.