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RNA-Seq effectively monitors gene expression in Eutrema salsugineum plants growing in an extreme natural habitat and in controlled growth cabinet conditions

Overview of attention for article published in BMC Genomics, August 2013
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Title
RNA-Seq effectively monitors gene expression in Eutrema salsugineum plants growing in an extreme natural habitat and in controlled growth cabinet conditions
Published in
BMC Genomics, August 2013
DOI 10.1186/1471-2164-14-578
Pubmed ID
Authors

Marc J Champigny, Wilson WL Sung, Vasile Catana, Rupa Salwan, Peter S Summers, Susan A Dudley, Nicholas J Provart, Robin K Cameron, G Brian Golding, Elizabeth A Weretilnyk

Abstract

The investigation of extremophile plant species growing in their natural environment offers certain advantages, chiefly that plants adapted to severe habitats have a repertoire of stress tolerance genes that are regulated to maximize plant performance under physiologically challenging conditions. Accordingly, transcriptome sequencing offers a powerful approach to address questions concerning the influence of natural habitat on the physiology of an organism. We used RNA sequencing of Eutrema salsugineum, an extremophile relative of Arabidopsis thaliana, to investigate the extent to which genetic variation and controlled versus natural environments contribute to differences between transcript profiles.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 1%
India 1 1%
United Kingdom 1 1%
Canada 1 1%
Nigeria 1 1%
United States 1 1%
Unknown 91 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 20%
Student > Ph. D. Student 18 19%
Researcher 18 19%
Student > Master 13 13%
Student > Doctoral Student 5 5%
Other 14 14%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 61%
Biochemistry, Genetics and Molecular Biology 20 21%
Arts and Humanities 2 2%
Business, Management and Accounting 2 2%
Environmental Science 1 1%
Other 1 1%
Unknown 12 12%
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 28 August 2013.
All research outputs
#20,200,843
of 22,719,618 outputs
Outputs from BMC Genomics
#9,250
of 10,627 outputs
Outputs of similar age
#175,493
of 200,072 outputs
Outputs of similar age from BMC Genomics
#118
of 137 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,627 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 200,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.