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ATLAS: a Snakemake workflow for assembly, annotation, and genomic binning of metagenome sequence data

Overview of attention for article published in BMC Bioinformatics, June 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 7,682)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
70 X users

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
244 Mendeley
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Title
ATLAS: a Snakemake workflow for assembly, annotation, and genomic binning of metagenome sequence data
Published in
BMC Bioinformatics, June 2020
DOI 10.1186/s12859-020-03585-4
Pubmed ID
Authors

Silas Kieser, Joseph Brown, Evgeny M. Zdobnov, Mirko Trajkovski, Lee Ann McCue

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 244 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 20%
Student > Ph. D. Student 46 19%
Student > Master 34 14%
Student > Bachelor 18 7%
Student > Postgraduate 12 5%
Other 32 13%
Unknown 53 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 24%
Agricultural and Biological Sciences 57 23%
Immunology and Microbiology 16 7%
Environmental Science 15 6%
Computer Science 7 3%
Other 25 10%
Unknown 65 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 24 February 2023.
All research outputs
#833,985
of 25,382,250 outputs
Outputs from BMC Bioinformatics
#49
of 7,682 outputs
Outputs of similar age
#23,822
of 407,026 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 129 outputs
Altmetric has tracked 25,382,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,682 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 407,026 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.