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High-throughput and quantitative genome-wide messenger RNA sequencing for molecular phenotyping

Overview of attention for article published in BMC Genomics, August 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
patent
1 patent

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
2 CiteULike
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Title
High-throughput and quantitative genome-wide messenger RNA sequencing for molecular phenotyping
Published in
BMC Genomics, August 2015
DOI 10.1186/s12864-015-1788-6
Pubmed ID
Authors

John E. Collins, Neha Wali, Ian M. Sealy, James A. Morris, Richard J. White, Steven R. Leonard, David K. Jackson, Matthew C. Jones, Nathalie C. Smerdon, Jorge Zamora, Christopher M. Dooley, Samantha N. Carruthers, Jeffrey C. Barrett, Derek L. Stemple, Elisabeth M. Busch-Nentwich

Abstract

We present a genome-wide messenger RNA (mRNA) sequencing technique that converts small amounts of RNA from many samples into molecular phenotypes. It encompasses all steps from sample preparation to sequence analysis and is applicable to baseline profiling or perturbation measurements. Multiplex sequencing of transcript 3' ends identifies differential transcript abundance independent of gene annotation. We show that increasing biological replicate number while maintaining the total amount of sequencing identifies more differentially abundant transcripts. This method can be implemented on polyadenylated RNA from any organism with an annotated reference genome and in any laboratory with access to Illumina sequencing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Switzerland 1 2%
Netherlands 1 2%
Chile 1 2%
Sweden 1 2%
Benin 1 2%
Denmark 1 2%
Unknown 47 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Student > Ph. D. Student 13 24%
Student > Master 6 11%
Student > Bachelor 5 9%
Other 4 7%
Other 5 9%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 54%
Biochemistry, Genetics and Molecular Biology 10 19%
Engineering 3 6%
Computer Science 2 4%
Environmental Science 1 2%
Other 2 4%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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
#2,098,541
of 22,818,766 outputs
Outputs from BMC Genomics
#602
of 10,654 outputs
Outputs of similar age
#28,764
of 264,147 outputs
Outputs of similar age from BMC Genomics
#13
of 245 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,654 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 94% 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 264,147 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 89% of its contemporaries.
We're also able to compare this research output to 245 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 94% of its contemporaries.