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GECKO is a genetic algorithm to classify and explore high throughput sequencing data

Overview of attention for article published in Communications Biology, June 2019
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
1 blog
twitter
13 X users
patent
2 patents

Readers on

mendeley
50 Mendeley
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Article details
Title
GECKO is a genetic algorithm to classify and explore high throughput sequencing data
Published in
Communications Biology, June 2019
DOI 10.1038/s42003-019-0456-9
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Student > Master 7 14%
Researcher 5 10%
Lecturer > Senior Lecturer 2 4%
Other 2 4%
Other 8 16%
Unknown 14 28%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 26%
Computer Science 10 20%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 2 4%
Neuroscience 2 4%
Other 4 8%
Unknown 15 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 November 2024.
All research outputs
#2,595,128
of 33,834,589 outputs
Outputs from Communications Biology
#1,950
of 9,443 outputs
Outputs of similar age
#42,070
of 397,929 outputs
Outputs of similar age from Communications Biology
#35
of 115 outputs
Altmetric has tracked 33,834,589 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 79% 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 397,929 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 89% of its contemporaries.
We're also able to compare this research output to 115 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 69% of its contemporaries.