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seqQscorer: automated quality control of next-generation sequencing data using machine learning

Overview of attention for article published in Genome Biology (Online Edition), March 2021
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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 (82nd percentile)

Mentioned by

twitter
27 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
32 Mendeley
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Title
seqQscorer: automated quality control of next-generation sequencing data using machine learning
Published in
Genome Biology (Online Edition), March 2021
DOI 10.1186/s13059-021-02294-2
Pubmed ID
Authors

Steffen Albrecht, Maximilian Sprang, Miguel A. Andrade-Navarro, Jean-Fred Fontaine

Twitter Demographics

The data shown below were collected from the profiles of 27 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 5 16%
Professor 3 9%
Student > Bachelor 3 9%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 6 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 44%
Agricultural and Biological Sciences 4 13%
Engineering 3 9%
Chemical Engineering 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 8 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 March 2021.
All research outputs
#2,268,772
of 20,649,055 outputs
Outputs from Genome Biology (Online Edition)
#1,893
of 3,969 outputs
Outputs of similar age
#54,589
of 314,647 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 20,649,055 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 52% 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 314,647 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 82% of its contemporaries.
We're also able to compare this research output to 1 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