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Feature selection with a genetic algorithm can help improve the distinguishing power of microbiota information in monozygotic twins' identification

Overview of attention for article published in Frontiers in Microbiology, July 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

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mendeley
11 Mendeley
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Title
Feature selection with a genetic algorithm can help improve the distinguishing power of microbiota information in monozygotic twins' identification
Published in
Frontiers in Microbiology, July 2023
DOI 10.3389/fmicb.2023.1210638
Pubmed ID
Authors

Guangping Fu, Guanju Ma, Shujie Dou, Qian Wang, Lihong Fu, Xiaojing Zhang, Chaolong Lu, Bin Cong, Shujin Li

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 3 27%
Student > Bachelor 2 18%
Student > Ph. D. Student 1 9%
Lecturer > Senior Lecturer 1 9%
Unknown 4 36%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Biochemistry, Genetics and Molecular Biology 2 18%
Philosophy 1 9%
Environmental Science 1 9%
Unknown 4 36%
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 10 August 2023.
All research outputs
#18,073,488
of 26,446,252 outputs
Outputs from Frontiers in Microbiology
#18,227
of 30,353 outputs
Outputs of similar age
#212,755
of 371,007 outputs
Outputs of similar age from Frontiers in Microbiology
#455
of 914 outputs
Altmetric has tracked 26,446,252 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,353 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 34th percentile – i.e., 34% 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 371,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 914 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.