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MetaLAFFA: a flexible, end-to-end, distributed computing-compatible metagenomic functional annotation pipeline

Overview of attention for article published in BMC Bioinformatics, October 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
14 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
38 Mendeley
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Title
MetaLAFFA: a flexible, end-to-end, distributed computing-compatible metagenomic functional annotation pipeline
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03815-9
Pubmed ID
Authors

Alexander Eng, Adrian J. Verster, Elhanan Borenstein

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 7 18%
Student > Bachelor 3 8%
Professor 3 8%
Student > Master 2 5%
Other 3 8%
Unknown 13 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 26%
Biochemistry, Genetics and Molecular Biology 6 16%
Medicine and Dentistry 3 8%
Computer Science 2 5%
Business, Management and Accounting 1 3%
Other 3 8%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 2020.
All research outputs
#2,283,231
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#613
of 7,418 outputs
Outputs of similar age
#60,846
of 421,186 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 176 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 91% 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 421,186 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 85% of its contemporaries.
We're also able to compare this research output to 176 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 93% of its contemporaries.