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INC-Seq: accurate single molecule reads using nanopore sequencing

Overview of attention for article published in Giga Science, August 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
67 tweeters
patent
1 patent
peer_reviews
1 peer review site
facebook
1 Facebook page
q&a
1 Q&A thread

Readers on

mendeley
278 Mendeley
citeulike
2 CiteULike
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Title
INC-Seq: accurate single molecule reads using nanopore sequencing
Published in
Giga Science, August 2016
DOI 10.1186/s13742-016-0140-7
Pubmed ID
Authors

Chenhao Li, Kern Rei Chng, Esther Jia Hui Boey, Amanda Hui Qi Ng, Andreas Wilm, Niranjan Nagarajan

Abstract

Nanopore sequencing provides a rapid, cheap and portable real-time sequencing platform with the potential to revolutionize genomics. However, several applications are limited by relatively high single-read error rates (>10 %), including RNA-seq, haplotype sequencing and 16S sequencing. We developed the Intramolecular-ligated Nanopore Consensus Sequencing (INC-Seq) as a strategy for obtaining long and accurate nanopore reads, starting with low input DNA. Applying INC-Seq for 16S rRNA-based bacterial profiling generated full-length amplicon sequences with a median accuracy >97 %. INC-Seq reads enabled accurate species-level classification, identification of species at 0.1 % abundance and robust quantification of relative abundances, providing a cheap and effective approach for pathogen detection and microbiome profiling on the MinION system.

Twitter Demographics

The data shown below were collected from the profiles of 67 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 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Sweden 2 <1%
Netherlands 1 <1%
Uruguay 1 <1%
Switzerland 1 <1%
India 1 <1%
United Kingdom 1 <1%
Singapore 1 <1%
Denmark 1 <1%
Other 1 <1%
Unknown 263 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 86 31%
Student > Ph. D. Student 48 17%
Student > Bachelor 29 10%
Student > Master 27 10%
Other 21 8%
Other 40 14%
Unknown 27 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 35%
Biochemistry, Genetics and Molecular Biology 73 26%
Medicine and Dentistry 16 6%
Engineering 14 5%
Computer Science 13 5%
Other 34 12%
Unknown 31 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 31 January 2020.
All research outputs
#374,424
of 15,549,524 outputs
Outputs from Giga Science
#52
of 747 outputs
Outputs of similar age
#10,847
of 266,901 outputs
Outputs of similar age from Giga Science
#1
of 1 outputs
Altmetric has tracked 15,549,524 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.2. This one has done particularly well, scoring higher than 93% 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 266,901 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 95% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them