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Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries

Overview of attention for article published in Genome Biology, February 2011
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Citations

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962 Dimensions

Readers on

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1681 Mendeley
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25 CiteULike
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3 Connotea
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Title
Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries
Published in
Genome Biology, February 2011
DOI 10.1186/gb-2011-12-2-r18
Pubmed ID
Authors

Daniel Aird, Michael G Ross, Wei-Sheng Chen, Maxwell Danielsson, Timothy Fennell, Carsten Russ, David B Jaffe, Chad Nusbaum, Andreas Gnirke

Abstract

Despite the ever-increasing output of Illumina sequencing data, loci with extreme base compositions are often under-represented or absent. To evaluate sources of base-composition bias, we traced genomic sequences ranging from 6% to 90% GC through the process by quantitative PCR. We identified PCR during library preparation as a principal source of bias and optimized the conditions. Our improved protocol significantly reduces amplification bias and minimizes the previously severe effects of PCR instrument and temperature ramp rate.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 1,681 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 38 2%
United Kingdom 24 1%
Germany 16 <1%
Spain 9 <1%
Brazil 7 <1%
France 6 <1%
Denmark 5 <1%
Canada 4 <1%
Norway 3 <1%
Other 31 2%
Unknown 1538 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 449 27%
Researcher 408 24%
Student > Master 189 11%
Student > Bachelor 139 8%
Student > Doctoral Student 67 4%
Other 225 13%
Unknown 204 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 797 47%
Biochemistry, Genetics and Molecular Biology 345 21%
Computer Science 48 3%
Medicine and Dentistry 46 3%
Immunology and Microbiology 38 2%
Other 170 10%
Unknown 237 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 20 April 2023.
All research outputs
#1,801,963
of 25,837,817 outputs
Outputs from Genome Biology
#1,487
of 4,506 outputs
Outputs of similar age
#7,158
of 122,223 outputs
Outputs of similar age from Genome Biology
#7
of 30 outputs
Altmetric has tracked 25,837,817 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 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 66% 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 122,223 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 93% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.