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The effect of strand bias in Illumina short-read sequencing data

Overview of attention for article published in BMC Genomics, November 2012
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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13 X users
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1 patent

Citations

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110 Dimensions

Readers on

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333 Mendeley
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8 CiteULike
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Title
The effect of strand bias in Illumina short-read sequencing data
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-666
Pubmed ID
Authors

Yan Guo, Jiang Li, Chung-I Li, Jirong Long, David C Samuels, Yu Shyr

Abstract

When using Illumina high throughput short read data, sometimes the genotype inferred from the positive strand and negative strand are significantly different, with one homozygous and the other heterozygous. This phenomenon is known as strand bias. In this study, we used Illumina short-read sequencing data to evaluate the effect of strand bias on genotyping quality, and to explore the possible causes of strand bias.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 333 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Brazil 3 <1%
Germany 2 <1%
Norway 2 <1%
Australia 2 <1%
Sweden 2 <1%
United Kingdom 2 <1%
Austria 1 <1%
Italy 1 <1%
Other 8 2%
Unknown 303 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 76 23%
Researcher 73 22%
Student > Master 51 15%
Student > Bachelor 26 8%
Other 21 6%
Other 43 13%
Unknown 43 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 154 46%
Biochemistry, Genetics and Molecular Biology 86 26%
Medicine and Dentistry 15 5%
Computer Science 13 4%
Mathematics 3 <1%
Other 14 4%
Unknown 48 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 May 2021.
All research outputs
#3,082,204
of 22,687,320 outputs
Outputs from BMC Genomics
#1,154
of 10,616 outputs
Outputs of similar age
#31,677
of 276,400 outputs
Outputs of similar age from BMC Genomics
#50
of 378 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 89% 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 276,400 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 378 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.