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Latent class analysis-derived subphenotypes are generalisable to observational cohorts of acute respiratory distress syndrome: a prospective study

Overview of attention for article published in Thorax, July 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
24 X users
facebook
1 Facebook page

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
30 Mendeley
Title
Latent class analysis-derived subphenotypes are generalisable to observational cohorts of acute respiratory distress syndrome: a prospective study
Published in
Thorax, July 2021
DOI 10.1136/thoraxjnl-2021-217158
Pubmed ID
Authors

Pratik Sinha, Kevin L Delucchi, Yue Chen, Hanjing Zhuo, Jason Abbott, Chunxue Wang, Nancy Wickersham, J Brennan McNeil, Alejandra Jauregui, Serena Ke, Kathryn Vessel, Antonio Gomez, Carolyn M Hendrickson, Kirsten N Kangelaris, Aartik Sarma, Aleksandra Leligdowicz, Kathleen D Liu, Michael A Matthay, Lorraine B Ware, Carolyn S Calfee

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 20%
Student > Ph. D. Student 3 10%
Student > Bachelor 2 7%
Other 2 7%
Student > Master 2 7%
Other 4 13%
Unknown 11 37%
Readers by discipline Count As %
Medicine and Dentistry 11 37%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Arts and Humanities 1 3%
Immunology and Microbiology 1 3%
Other 3 10%
Unknown 12 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 23 January 2023.
All research outputs
#2,960,405
of 25,218,929 outputs
Outputs from Thorax
#1,244
of 5,671 outputs
Outputs of similar age
#65,918
of 430,341 outputs
Outputs of similar age from Thorax
#26
of 64 outputs
Altmetric has tracked 25,218,929 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. This one has done well, scoring higher than 78% 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 430,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 64 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 60% of its contemporaries.