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Prediction of Smoking Habits From Class-Imbalanced Saliva Microbiome Data Using Data Augmentation and Machine Learning

Overview of attention for article published in Frontiers in Microbiology, July 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Prediction of Smoking Habits From Class-Imbalanced Saliva Microbiome Data Using Data Augmentation and Machine Learning
Published in
Frontiers in Microbiology, July 2022
DOI 10.3389/fmicb.2022.886201
Pubmed ID
Authors

Celia Díez López, Diego Montiel González, Athina Vidaki, Manfred Kayser

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 16%
Researcher 3 16%
Student > Ph. D. Student 2 11%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 4 21%
Unknown 5 26%
Readers by discipline Count As %
Computer Science 5 26%
Agricultural and Biological Sciences 2 11%
Biochemistry, Genetics and Molecular Biology 2 11%
Unspecified 1 5%
Environmental Science 1 5%
Other 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 August 2022.
All research outputs
#8,193,106
of 25,443,857 outputs
Outputs from Frontiers in Microbiology
#8,638
of 29,374 outputs
Outputs of similar age
#147,110
of 435,544 outputs
Outputs of similar age from Frontiers in Microbiology
#247
of 1,293 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 29,374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 70% 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 435,544 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 66% of its contemporaries.
We're also able to compare this research output to 1,293 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.