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MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data

Overview of attention for article published in Genome Biology, December 2017
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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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog
twitter
27 X users

Citations

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9 Dimensions

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67 Mendeley
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Title
MICRA: an automatic pipeline for fast characterization of microbial genomes from high-throughput sequencing data
Published in
Genome Biology, December 2017
DOI 10.1186/s13059-017-1367-z
Pubmed ID
Authors

Ségolène Caboche, Gaël Even, Alexandre Loywick, Christophe Audebert, David Hot

Abstract

The increase in available sequence data has advanced the field of microbiology; however, making sense of these data without bioinformatics skills is still problematic. We describe MICRA, an automatic pipeline, available as a web interface, for microbial identification and characterization through reads analysis. MICRA uses iterative mapping against reference genomes to identify genes and variations. Additional modules allow prediction of antibiotic susceptibility and resistance and comparing the results of several samples. MICRA is fast, producing few false-positive annotations and variant calls compared to current methods, making it a tool of great interest for fully exploiting sequencing data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 27%
Student > Ph. D. Student 11 16%
Professor 7 10%
Student > Bachelor 5 7%
Student > Master 5 7%
Other 7 10%
Unknown 14 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 28%
Biochemistry, Genetics and Molecular Biology 14 21%
Computer Science 6 9%
Immunology and Microbiology 4 6%
Veterinary Science and Veterinary Medicine 2 3%
Other 6 9%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 15 January 2018.
All research outputs
#1,559,116
of 25,376,589 outputs
Outputs from Genome Biology
#1,271
of 4,460 outputs
Outputs of similar age
#33,393
of 447,667 outputs
Outputs of similar age from Genome Biology
#18
of 46 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 71% 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 447,667 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 90% of its contemporaries.
We're also able to compare this research output to 46 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 60% of its contemporaries.