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De Novo Assembly of the Complete Genome of an Enhanced Electricity-Producing Variant of Geobacter sulfurreducens Using Only Short Reads

Overview of attention for article published in PLOS ONE, June 2010
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 patent
googleplus
1 Google+ user

Citations

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30 Dimensions

Readers on

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152 Mendeley
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7 CiteULike
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Title
De Novo Assembly of the Complete Genome of an Enhanced Electricity-Producing Variant of Geobacter sulfurreducens Using Only Short Reads
Published in
PLOS ONE, June 2010
DOI 10.1371/journal.pone.0010922
Pubmed ID
Authors

Harish Nagarajan, Jessica E. Butler, Anna Klimes, Yu Qiu, Karsten Zengler, Joy Ward, Nelson D. Young, Barbara A. Methé, Bernhard Ø. Palsson, Derek R. Lovley, Christian L. Barrett

Abstract

State-of-the-art DNA sequencing technologies are transforming the life sciences due to their ability to generate nucleotide sequence information with a speed and quantity that is unapproachable with traditional Sanger sequencing. Genome sequencing is a principal application of this technology, where the ultimate goal is the full and complete sequence of the organism of interest. Due to the nature of the raw data produced by these technologies, a full genomic sequence attained without the aid of Sanger sequencing has yet to be demonstrated.We have successfully developed a four-phase strategy for using only next-generation sequencing technologies (Illumina and 454) to assemble a complete microbial genome de novo. We applied this approach to completely assemble the 3.7 Mb genome of a rare Geobacter variant (KN400) that is capable of unprecedented current production at an electrode. Two key components of our strategy enabled us to achieve this result. First, we integrated the two data types early in the process to maximally leverage their complementary characteristics. And second, we used the output of different short read assembly programs in such a way so as to leverage the complementary nature of their different underlying algorithms or of their different implementations of the same underlying algorithm.The significance of our result is that it demonstrates a general approach for maximizing the efficiency and success of genome assembly projects as new sequencing technologies and new assembly algorithms are introduced. The general approach is a meta strategy, wherein sequencing data are integrated as early as possible and in particular ways and wherein multiple assembly algorithms are judiciously applied such that the deficiencies in one are complemented by another.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 7%
Germany 4 3%
Brazil 3 2%
Norway 1 <1%
Italy 1 <1%
France 1 <1%
Austria 1 <1%
Sweden 1 <1%
Ghana 1 <1%
Other 4 3%
Unknown 125 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 32%
Student > Ph. D. Student 31 20%
Student > Master 15 10%
Other 10 7%
Professor 9 6%
Other 26 17%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 99 65%
Biochemistry, Genetics and Molecular Biology 14 9%
Environmental Science 6 4%
Computer Science 6 4%
Mathematics 2 1%
Other 7 5%
Unknown 18 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 April 2013.
All research outputs
#6,382,382
of 22,681,577 outputs
Outputs from PLOS ONE
#76,390
of 193,576 outputs
Outputs of similar age
#29,706
of 96,014 outputs
Outputs of similar age from PLOS ONE
#336
of 696 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 193,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 59% 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 96,014 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 696 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.