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Comparative transcriptome analysis of the metal hyperaccumulator Noccaea caerulescens

Overview of attention for article published in Frontiers in Plant Science, May 2014
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Title
Comparative transcriptome analysis of the metal hyperaccumulator Noccaea caerulescens
Published in
Frontiers in Plant Science, May 2014
DOI 10.3389/fpls.2014.00213
Pubmed ID
Authors

Pauliina Halimaa, Daniel Blande, Mark G. M. Aarts, Marjo Tuomainen, Arja Tervahauta, Sirpa Kärenlampi

Abstract

The metal hyperaccumulator Noccaea caerulescens is an established model to study the adaptation of plants to metalliferous soils. Various comparators have been used in these studies. The choice of suitable comparators is important and depends on the hypothesis to be tested and methods to be used. In high-throughput analyses such as microarray, N. caerulescens has been compared to non-tolerant, non-accumulator plants like Arabidopsis thaliana or Thlaspi arvense rather than to the related hypertolerant or hyperaccumulator plants. An underutilized source is N. caerulescens populations with considerable variation in their capacity to accumulate and tolerate metals. Whole transcriptome sequencing (RNA-Seq) is revealing interesting variation in their gene expression profiles. Combining physiological characteristics of N. caerulescens accessions with their RNA-Seq has a great potential to provide detailed insight into the underlying molecular mechanisms, including entirely new gene products. In this review we will critically consider comparative transcriptome analyses carried out to explore metal hyperaccumulation and hypertolerance of N. caerulescens, and demonstrate the potential of RNA-Seq analysis as a tool in evolutionary genomics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Slovakia 1 1%
Belgium 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 25%
Researcher 19 22%
Student > Master 10 11%
Student > Doctoral Student 7 8%
Student > Bachelor 4 5%
Other 12 14%
Unknown 13 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 55%
Environmental Science 15 17%
Biochemistry, Genetics and Molecular Biology 8 9%
Immunology and Microbiology 1 1%
Chemistry 1 1%
Other 0 0%
Unknown 14 16%
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 07 June 2014.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Frontiers in Plant Science
#16,526
of 24,598 outputs
Outputs of similar age
#176,288
of 240,001 outputs
Outputs of similar age from Frontiers in Plant Science
#83
of 162 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,598 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 240,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.