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Navigating the transcriptional roadmap regulating plant secondary cell wall deposition

Overview of attention for article published in Frontiers in Plant Science, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Navigating the transcriptional roadmap regulating plant secondary cell wall deposition
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00325
Pubmed ID
Authors

Steven G. Hussey, Eshchar Mizrachi, Nicky M. Creux, Alexander A. Myburg

Abstract

The current status of lignocellulosic biomass as an invaluable resource in industry, agriculture, and health has spurred increased interest in understanding the transcriptional regulation of secondary cell wall (SCW) biosynthesis. The last decade of research has revealed an extensive network of NAC, MYB and other families of transcription factors regulating Arabidopsis SCW biosynthesis, and numerous studies have explored SCW-related transcription factors in other dicots and monocots. Whilst the general structure of the Arabidopsis network has been a topic of several reviews, they have not comprehensively represented the detailed protein-DNA and protein-protein interactions described in the literature, and an understanding of network dynamics and functionality has not yet been achieved for SCW formation. Furthermore the methodologies employed in studies of SCW transcriptional regulation have not received much attention, especially in the case of non-model organisms. In this review, we have reconstructed the most exhaustive literature-based network representations to date of SCW transcriptional regulation in Arabidopsis. We include a manipulable Cytoscape representation of the Arabidopsis SCW transcriptional network to aid in future studies, along with a list of supporting literature for each documented interaction. Amongst other topics, we discuss the various components of the network, its evolutionary conservation in plants, putative modules and dynamic mechanisms that may influence network function, and the approaches that have been employed in network inference. Future research should aim to better understand network function and its response to dynamic perturbations, whilst the development and application of genome-wide approaches such as ChIP-seq and systems genetics are in progress for the study of SCW transcriptional regulation in non-model organisms.

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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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 1 <1%
France 1 <1%
Slovenia 1 <1%
Finland 1 <1%
Unknown 153 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 28%
Researcher 30 19%
Student > Master 13 8%
Student > Bachelor 12 8%
Professor 12 8%
Other 26 16%
Unknown 22 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 54%
Biochemistry, Genetics and Molecular Biology 32 20%
Unspecified 3 2%
Computer Science 2 1%
Engineering 2 1%
Other 8 5%
Unknown 26 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 11 September 2013.
All research outputs
#17,695,202
of 22,719,618 outputs
Outputs from Frontiers in Plant Science
#11,867
of 19,961 outputs
Outputs of similar age
#210,203
of 280,759 outputs
Outputs of similar age from Frontiers in Plant Science
#172
of 517 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,961 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 31st percentile – i.e., 31% 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 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.