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A prediction and interpretation machine learning framework of mortality risk among severe infection patients with pseudomonas aeruginosa

Overview of attention for article published in Frontiers in Medicine, July 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
9 Mendeley
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Title
A prediction and interpretation machine learning framework of mortality risk among severe infection patients with pseudomonas aeruginosa
Published in
Frontiers in Medicine, July 2022
DOI 10.3389/fmed.2022.942356
Pubmed ID
Authors

Chen Cui, Fei Mu, Meng Tang, Rui Lin, Mingming Wang, Xian Zhao, Yue Guan, Jingwen Wang

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 11%
Other 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline Count As %
Nursing and Health Professions 1 11%
Computer Science 1 11%
Medicine and Dentistry 1 11%
Unknown 6 67%
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 13 August 2022.
All research outputs
#15,536,861
of 23,090,520 outputs
Outputs from Frontiers in Medicine
#3,092
of 5,847 outputs
Outputs of similar age
#236,621
of 432,563 outputs
Outputs of similar age from Frontiers in Medicine
#284
of 568 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 36th percentile – i.e., 36% 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 432,563 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 568 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.