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Pseudo-Sanger sequencing: massively parallel production of long and near error-free reads using NGS technology

Overview of attention for article published in BMC Genomics, October 2013
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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29 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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12 Dimensions

Readers on

mendeley
118 Mendeley
citeulike
4 CiteULike
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Title
Pseudo-Sanger sequencing: massively parallel production of long and near error-free reads using NGS technology
Published in
BMC Genomics, October 2013
DOI 10.1186/1471-2164-14-711
Pubmed ID
Authors

Jue Ruan, Lan Jiang, Zechen Chong, Qiang Gong, Heng Li, Chunyan Li, Yong Tao, Caihong Zheng, Weiwei Zhai, David Turissini, Charles H Cannon, Xuemei Lu, Chung-I Wu

Abstract

Usually, next generation sequencing (NGS) technology has the property of ultra-high throughput but the read length is remarkably short compared to conventional Sanger sequencing. Paired-end NGS could computationally extend the read length but with a lot of practical inconvenience because of the inherent gaps. Now that Illumina paired-end sequencing has the ability of read both ends from 600 bp or even 800 bp DNA fragments, how to fill in the gaps between paired ends to produce accurate long reads is intriguing but challenging.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Netherlands 5 4%
Brazil 4 3%
Germany 2 2%
United Kingdom 2 2%
Spain 2 2%
China 2 2%
Sweden 1 <1%
India 1 <1%
Other 2 2%
Unknown 91 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 39%
Student > Ph. D. Student 19 16%
Student > Bachelor 12 10%
Professor > Associate Professor 8 7%
Student > Master 8 7%
Other 16 14%
Unknown 9 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 60%
Biochemistry, Genetics and Molecular Biology 18 15%
Computer Science 4 3%
Medicine and Dentistry 3 3%
Engineering 2 2%
Other 5 4%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 22 November 2013.
All research outputs
#1,974,542
of 23,344,526 outputs
Outputs from BMC Genomics
#526
of 10,745 outputs
Outputs of similar age
#18,995
of 213,412 outputs
Outputs of similar age from BMC Genomics
#8
of 147 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 91st 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 95% 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 213,412 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 91% of its contemporaries.
We're also able to compare this research output to 147 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 95% of its contemporaries.