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Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data

Overview of attention for article published in Frontiers in Medicine, August 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
88 Mendeley
Title
Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data
Published in
Frontiers in Medicine, August 2020
DOI 10.3389/fmed.2020.00541
Pubmed ID
Authors

Huiqing Ge, Qing Pan, Yong Zhou, Peifeng Xu, Lingwei Zhang, Junli Zhang, Jun Yi, Changming Yang, Yuhan Zhou, Limin Liu, Zhongheng Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 14%
Student > Bachelor 10 11%
Other 9 10%
Researcher 9 10%
Student > Doctoral Student 5 6%
Other 15 17%
Unknown 28 32%
Readers by discipline Count As %
Medicine and Dentistry 29 33%
Nursing and Health Professions 10 11%
Engineering 5 6%
Biochemistry, Genetics and Molecular Biology 3 3%
Computer Science 2 2%
Other 11 13%
Unknown 28 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 June 2021.
All research outputs
#5,982,031
of 23,243,271 outputs
Outputs from Frontiers in Medicine
#1,348
of 5,936 outputs
Outputs of similar age
#127,942
of 399,029 outputs
Outputs of similar age from Frontiers in Medicine
#76
of 204 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 5,936 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 77% 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 399,029 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.