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GARS: Genetic Algorithm for the identification of a Robust Subset of features in high-dimensional datasets

Overview of attention for article published in BMC Bioinformatics, February 2020
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
13 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
56 Mendeley
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Title
GARS: Genetic Algorithm for the identification of a Robust Subset of features in high-dimensional datasets
Published in
BMC Bioinformatics, February 2020
DOI 10.1186/s12859-020-3400-6
Pubmed ID
Authors

Mattia Chiesa, Giada Maioli, Gualtiero I. Colombo, Luca Piacentini

Twitter Demographics

The data shown below were collected from the profiles of 13 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Researcher 10 18%
Student > Ph. D. Student 9 16%
Student > Bachelor 6 11%
Student > Doctoral Student 3 5%
Other 5 9%
Unknown 11 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 21%
Computer Science 10 18%
Agricultural and Biological Sciences 6 11%
Mathematics 2 4%
Medicine and Dentistry 2 4%
Other 9 16%
Unknown 15 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 April 2020.
All research outputs
#1,544,959
of 17,508,799 outputs
Outputs from BMC Bioinformatics
#449
of 6,185 outputs
Outputs of similar age
#43,459
of 339,363 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 9 outputs
Altmetric has tracked 17,508,799 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,185 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 92% 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 339,363 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 87% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them