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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 (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
23 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 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

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Researcher 1 17%
Other 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 17%
Decision Sciences 1 17%
Medicine and Dentistry 1 17%
Unknown 3 50%

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 22 July 2021.
All research outputs
#2,072,755
of 18,707,006 outputs
Outputs from Thorax
#943
of 4,901 outputs
Outputs of similar age
#44,897
of 306,601 outputs
Outputs of similar age from Thorax
#28
of 55 outputs
Altmetric has tracked 18,707,006 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 4,901 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 80% 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 306,601 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 85% of its contemporaries.
We're also able to compare this research output to 55 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 50% of its contemporaries.