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Evaluation of DISCOVAR de novo using a mosquito sample for cost-effective short-read genome assembly

Overview of attention for article published in BMC Genomics, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
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15 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
115 Mendeley
citeulike
2 CiteULike
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Title
Evaluation of DISCOVAR de novo using a mosquito sample for cost-effective short-read genome assembly
Published in
BMC Genomics, March 2016
DOI 10.1186/s12864-016-2531-7
Pubmed ID
Authors

R. Rebecca Love, Neil I. Weisenfeld, David B. Jaffe, Nora J. Besansky, Daniel E. Neafsey

Abstract

De novo reference assemblies that are affordable, practical to produce, and of sufficient quality for most downstream applications, remain an unattained goal for many taxa. Insects, which may yield too little DNA from individual specimens for long-read sequencing library construction and often have highly heterozygous genomes, can be particularly hard to assemble using inexpensive short-read sequencing data. The large number of insect species with medical or economic importance makes this a critical problem to address. Using the assembler DISCOVAR de novo, we assembled the genome of the African malaria mosquito Anopheles arabiensis using 250 bp reads from a single library. The resulting assembly had a contig N50 of 22,433 bp, and recovered the gene set nearly as well as the ALLPATHS-LG AaraD1 An. arabiensis assembly produced with reads from three sequencing libraries and much greater resources. DISCOVAR de novo appeared to perform better than ALLPATHS-LG in regions of low complexity. DISCOVAR de novo performed well assembling the genome of an insect of medical importance, using simpler sequencing input than previous anopheline assemblies. We have shown that this program is a viable tool for cost-effective assembly of a modestly-sized insect genome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Ireland 1 <1%
Taiwan 1 <1%
Switzerland 1 <1%
Unknown 107 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 30%
Researcher 24 21%
Student > Master 15 13%
Student > Bachelor 12 10%
Student > Doctoral Student 4 3%
Other 12 10%
Unknown 13 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 42%
Biochemistry, Genetics and Molecular Biology 36 31%
Environmental Science 4 3%
Neuroscience 3 3%
Medicine and Dentistry 2 2%
Other 7 6%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 09 May 2021.
All research outputs
#1,653,960
of 23,344,526 outputs
Outputs from BMC Genomics
#380
of 10,745 outputs
Outputs of similar age
#28,484
of 300,059 outputs
Outputs of similar age from BMC Genomics
#9
of 213 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 300,059 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 213 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.