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A High-Throughput Method for Illumina RNA-Seq Library Preparation

Overview of attention for article published in Frontiers in Plant Science, January 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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1 blog
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16 X users
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8 patents

Citations

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146 Dimensions

Readers on

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413 Mendeley
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Title
A High-Throughput Method for Illumina RNA-Seq Library Preparation
Published in
Frontiers in Plant Science, January 2012
DOI 10.3389/fpls.2012.00202
Pubmed ID
Authors

Ravi Kumar, Yasunori Ichihashi, Seisuke Kimura, Daniel H. Chitwood, Lauren R. Headland, Jie Peng, Julin N. Maloof, Neelima R. Sinha

Abstract

With the introduction of cost effective, rapid, and superior quality next generation sequencing techniques, gene expression analysis has become viable for labs conducting small projects as well as large-scale gene expression analysis experiments. However, the available protocols for construction of RNA-sequencing (RNA-Seq) libraries are expensive and/or difficult to scale for high-throughput applications. Also, most protocols require isolated total RNA as a starting point. We provide a cost-effective RNA-Seq library synthesis protocol that is fast, starts with tissue, and is high-throughput from tissue to synthesized library. We have also designed and report a set of 96 unique barcodes for library adapters that are amenable to high-throughput sequencing by a large combination of multiplexing strategies. Our developed protocol has more power to detect differentially expressed genes when compared to the standard Illumina protocol, probably owing to less technical variation amongst replicates. We also address the problem of gene-length biases affecting differential gene expression calls and demonstrate that such biases can be efficiently minimized during mRNA isolation for library preparation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 413 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
Brazil 2 <1%
Germany 2 <1%
United Kingdom 2 <1%
Japan 2 <1%
Canada 2 <1%
Ethiopia 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Other 5 1%
Unknown 386 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 102 25%
Researcher 95 23%
Student > Master 55 13%
Student > Bachelor 33 8%
Student > Doctoral Student 18 4%
Other 62 15%
Unknown 48 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 226 55%
Biochemistry, Genetics and Molecular Biology 81 20%
Immunology and Microbiology 6 1%
Medicine and Dentistry 6 1%
Environmental Science 5 1%
Other 29 7%
Unknown 60 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 08 June 2021.
All research outputs
#1,585,492
of 22,675,759 outputs
Outputs from Frontiers in Plant Science
#543
of 19,843 outputs
Outputs of similar age
#11,862
of 244,088 outputs
Outputs of similar age from Frontiers in Plant Science
#4
of 195 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,843 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 97% 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 244,088 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 195 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 97% of its contemporaries.