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We are good to grow: dynamic integration of cell wall architecture with the machinery of growth

Overview of attention for article published in Frontiers in Plant Science, January 2012
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Title
We are good to grow: dynamic integration of cell wall architecture with the machinery of growth
Published in
Frontiers in Plant Science, January 2012
DOI 10.3389/fpls.2012.00187
Pubmed ID
Authors

Matheus R. Benatti, Bryan W. Penning, Nicholas C. Carpita, Maureen C. McCann

Abstract

Despite differences in cell wall composition between the type I cell walls of dicots and most monocots and the type II walls of commelinid monocots, all flowering plants respond to the same classes of growth regulators in the same tissue-specific way and exhibit the same growth physics. Substantial progress has been made in defining gene families and identifying mutants in cell wall-related genes, but our understanding of the biochemical basis of wall extensibility during growth is still rudimentary. In this review, we highlight insights into the physiological control of cell expansion emerging from genetic functional analyses, mostly in Arabidopsis and other dicots, and a few examples of genes of potential orthologous function in grass species. We discuss examples of cell wall architectural features that impact growth independent of composition, and progress in identifying proteins involved in transduction of growth signals and integrating their outputs in the molecular machinery of wall expansion.

X Demographics

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

Geographical breakdown

Country Count As %
Canada 2 4%
France 1 2%
Colombia 1 2%
United Kingdom 1 2%
Brazil 1 2%
Unknown 46 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 29%
Student > Ph. D. Student 13 25%
Professor 5 10%
Student > Master 5 10%
Student > Bachelor 3 6%
Other 5 10%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 63%
Biochemistry, Genetics and Molecular Biology 6 12%
Computer Science 1 2%
Physics and Astronomy 1 2%
Materials Science 1 2%
Other 1 2%
Unknown 9 17%
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 22 August 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Plant Science
#15,745
of 19,843 outputs
Outputs of similar age
#221,176
of 244,088 outputs
Outputs of similar age from Frontiers in Plant Science
#109
of 195 outputs
Altmetric has tracked 22,675,759 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 19,843 research outputs from this source. They receive a mean Attention Score of 4.0. 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 244,088 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 195 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.