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Integrated shotgun sequencing and bioinformatics pipeline allows ultra-fast mitogenome recovery and confirms substantial gene rearrangements in Australian freshwater crayfishes

Overview of attention for article published in BMC Ecology and Evolution, February 2014
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Title
Integrated shotgun sequencing and bioinformatics pipeline allows ultra-fast mitogenome recovery and confirms substantial gene rearrangements in Australian freshwater crayfishes
Published in
BMC Ecology and Evolution, February 2014
DOI 10.1186/1471-2148-14-19
Pubmed ID
Authors

Han Ming Gan, Mark B Schultz, Christopher M Austin

Abstract

Although it is possible to recover the complete mitogenome directly from shotgun sequencing data, currently reported methods and pipelines are still relatively time consuming and costly. Using a sample of the Australian freshwater crayfish Engaeus lengana, we demonstrate that it is possible to achieve three-day turnaround time (four hours hands-on time) from tissue sample to NCBI-ready submission file through the integration of MiSeq sequencing platform, Nextera sample preparation protocol, MITObim assembly algorithm and MITOS annotation pipeline.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Chile 1 <1%
Austria 1 <1%
Sweden 1 <1%
United States 1 <1%
Unknown 95 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 28%
Student > Ph. D. Student 21 21%
Student > Master 16 16%
Student > Bachelor 14 14%
Professor > Associate Professor 5 5%
Other 11 11%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 58%
Biochemistry, Genetics and Molecular Biology 15 15%
Environmental Science 7 7%
Computer Science 4 4%
Engineering 3 3%
Other 4 4%
Unknown 10 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 February 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#2,929
of 3,714 outputs
Outputs of similar age
#203,415
of 322,918 outputs
Outputs of similar age from BMC Ecology and Evolution
#47
of 57 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 322,918 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.