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BrAD-seq: Breath Adapter Directional sequencing: a streamlined, ultra-simple and fast library preparation protocol for strand specific mRNA library construction

Overview of attention for article published in Frontiers in Plant Science, May 2015
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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)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
48 X users
patent
1 patent
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

dimensions_citation
113 Dimensions

Readers on

mendeley
155 Mendeley
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Title
BrAD-seq: Breath Adapter Directional sequencing: a streamlined, ultra-simple and fast library preparation protocol for strand specific mRNA library construction
Published in
Frontiers in Plant Science, May 2015
DOI 10.3389/fpls.2015.00366
Pubmed ID
Authors

Brad T. Townsley, Michael F. Covington, Yasunori Ichihashi, Kristina Zumstein, Neelima R. Sinha

Abstract

Next Generation Sequencing (NGS) is driving rapid advancement in biological understanding and RNA-sequencing (RNA-seq) has become an indispensable tool for biology and medicine. There is a growing need for access to these technologies although preparation of NGS libraries remains a bottleneck to wider adoption. Here we report a novel method for the production of strand specific RNA-seq libraries utilizing the terminal breathing of double-stranded cDNA to capture and incorporate a sequencing adapter. Breath Adapter Directional sequencing (BrAD-seq) reduces sample handling and requires far fewer enzymatic steps than most available methods to produce high quality strand-specific RNA-seq libraries. The method we present is optimized for 3-prime Digital Gene Expression (DGE) libraries and can easily extend to full transcript coverage shotgun (SHO) type strand-specific libraries and is modularized to accommodate a diversity of RNA and DNA input materials. BrAD-seq offers a highly streamlined and inexpensive option for RNA-seq libraries.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Japan 1 <1%
Portugal 1 <1%
Unknown 148 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 22%
Student > Master 31 20%
Student > Ph. D. Student 27 17%
Student > Bachelor 13 8%
Student > Doctoral Student 10 6%
Other 15 10%
Unknown 25 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 52%
Biochemistry, Genetics and Molecular Biology 32 21%
Environmental Science 5 3%
Medicine and Dentistry 2 1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 4 3%
Unknown 31 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 26 August 2021.
All research outputs
#964,230
of 25,374,374 outputs
Outputs from Frontiers in Plant Science
#254
of 24,442 outputs
Outputs of similar age
#11,484
of 274,316 outputs
Outputs of similar age from Frontiers in Plant Science
#5
of 276 outputs
Altmetric has tracked 25,374,374 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,442 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 98% 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 274,316 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 276 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 98% of its contemporaries.