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In silico benchmarking of metagenomic tools for coding sequence detection reveals the limits of sensitivity and precision

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 (96th percentile)

Mentioned by

twitter
32 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
24 Mendeley
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Title
In silico benchmarking of metagenomic tools for coding sequence detection reveals the limits of sensitivity and precision
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03802-0
Pubmed ID
Authors

Jonathan Louis Golob, Samuel Schwartz Minot

Twitter Demographics

The data shown below were collected from the profiles of 32 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Ph. D. Student 4 17%
Student > Master 4 17%
Other 3 13%
Student > Bachelor 2 8%
Other 3 13%
Unknown 1 4%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 33%
Agricultural and Biological Sciences 8 33%
Computer Science 3 13%
Immunology and Microbiology 2 8%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 1 4%

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 19 February 2021.
All research outputs
#1,661,390
of 19,073,355 outputs
Outputs from BMC Bioinformatics
#461
of 6,513 outputs
Outputs of similar age
#46,665
of 325,860 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 50 outputs
Altmetric has tracked 19,073,355 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 6,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 325,860 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 50 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 96% of its contemporaries.