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Stochasticity in plant cellular growth and patterning

Overview of attention for article published in Frontiers in Plant Science, September 2014
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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3 X users

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99 Mendeley
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Title
Stochasticity in plant cellular growth and patterning
Published in
Frontiers in Plant Science, September 2014
DOI 10.3389/fpls.2014.00420
Pubmed ID
Authors

Heather M. Meyer, Adrienne H. K. Roeder

Abstract

Plants, along with other multicellular organisms, have evolved specialized regulatory mechanisms to achieve proper tissue growth and morphogenesis. During development, growing tissues generate specialized cell types and complex patterns necessary for establishing the function of the organ. Tissue growth is a tightly regulated process that yields highly reproducible outcomes. Nevertheless, the underlying cellular and molecular behaviors are often stochastic. Thus, how does stochasticity, together with strict genetic regulation, give rise to reproducible tissue development? This review draws examples from plants as well as other systems to explore stochasticity in plant cell division, growth, and patterning. We conclude that stochasticity is often needed to create small differences between identical cells, which are amplified and stabilized by genetic and mechanical feedback loops to begin cell differentiation. These first few differentiating cells initiate traditional patterning mechanisms to ensure regular development.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Brazil 1 1%
United Kingdom 1 1%
United States 1 1%
Poland 1 1%
Unknown 94 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 31%
Researcher 21 21%
Student > Bachelor 11 11%
Student > Master 10 10%
Professor 7 7%
Other 10 10%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 56%
Biochemistry, Genetics and Molecular Biology 24 24%
Physics and Astronomy 3 3%
Engineering 2 2%
Unspecified 1 1%
Other 2 2%
Unknown 12 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 September 2014.
All research outputs
#13,919,373
of 22,763,032 outputs
Outputs from Frontiers in Plant Science
#7,236
of 20,062 outputs
Outputs of similar age
#119,178
of 238,613 outputs
Outputs of similar age from Frontiers in Plant Science
#60
of 170 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,062 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 238,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 170 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 59% of its contemporaries.