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Analysis of stranded information using an automated procedure for strand specific RNA sequencing

Overview of attention for article published in BMC Genomics, July 2014
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2 X users

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26 Dimensions

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88 Mendeley
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Title
Analysis of stranded information using an automated procedure for strand specific RNA sequencing
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-631
Pubmed ID
Authors

Benjamín Sigurgeirsson, Olof Emanuelsson, Joakim Lundeberg

Abstract

Strand specific RNA sequencing is rapidly replacing conventional cDNA sequencing as an approachfor assessing information about the transcriptome. Alongside improved laboratory protocols the developmentof bioinformatical tools is steadily progressing. In the current procedure the IlluminaTruSeq library preparation kit is used, along with additional reagents, to make stranded libraries in anautomated fashion which are then sequenced on Illumina HiSeq 2000. By the use of freely availablebioinformatical tools we show, through quality metrics, that the protocol is robust and reproducible.We further highlight the practicality of strand specific libraries by comparing expression of strand specificlibraries to non-stranded libraries, by looking at known antisense transcription of pseudogenesand by identifying novel transcription. Furthermore, two ribosomal depletion kits, RiboMinus andRiboZero, are compared and two sequence aligners, Tophat2 and STAR, are also compared.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 2%
Portugal 1 1%
Germany 1 1%
France 1 1%
Brazil 1 1%
Sweden 1 1%
Finland 1 1%
New Zealand 1 1%
Mexico 1 1%
Other 1 1%
Unknown 77 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 30%
Researcher 17 19%
Student > Master 11 13%
Student > Doctoral Student 8 9%
Student > Bachelor 8 9%
Other 8 9%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 49%
Biochemistry, Genetics and Molecular Biology 18 20%
Medicine and Dentistry 4 5%
Computer Science 2 2%
Immunology and Microbiology 2 2%
Other 8 9%
Unknown 11 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 August 2014.
All research outputs
#15,303,385
of 22,759,618 outputs
Outputs from BMC Genomics
#6,675
of 10,637 outputs
Outputs of similar age
#132,177
of 228,706 outputs
Outputs of similar age from BMC Genomics
#107
of 201 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 228,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.