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A robust and stable gene selection algorithm based on graph theory and machine learning

Overview of attention for article published in Human Genomics, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
A robust and stable gene selection algorithm based on graph theory and machine learning
Published in
Human Genomics, November 2021
DOI 10.1186/s40246-021-00366-9
Pubmed ID
Authors

Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Researcher 1 10%
Unknown 7 70%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 10%
Computer Science 1 10%
Unknown 8 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 February 2024.
All research outputs
#8,588,963
of 25,508,813 outputs
Outputs from Human Genomics
#211
of 564 outputs
Outputs of similar age
#164,031
of 441,600 outputs
Outputs of similar age from Human Genomics
#6
of 11 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 53% 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 441,600 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 59% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.