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Transcriptome profiling of Pinus radiata juvenile wood with contrasting stiffness identifies putative candidate genes involved in microfibril orientation and cell wall mechanics

Overview of attention for article published in BMC Genomics, October 2011
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1 tweeter

Citations

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44 Mendeley
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Title
Transcriptome profiling of Pinus radiata juvenile wood with contrasting stiffness identifies putative candidate genes involved in microfibril orientation and cell wall mechanics
Published in
BMC Genomics, October 2011
DOI 10.1186/1471-2164-12-480
Pubmed ID
Authors

Xinguo Li, Harry X Wu, Simon G Southerton

Abstract

The mechanical properties of wood are largely determined by the orientation of cellulose microfibrils in secondary cell walls. Several genes and their allelic variants have previously been found to affect microfibril angle (MFA) and wood stiffness; however, the molecular mechanisms controlling microfibril orientation and mechanical strength are largely uncharacterised. In the present study, cDNA microarrays were used to compare gene expression in developing xylem with contrasting stiffness and MFA in juvenile Pinus radiata trees in order to gain further insights into the molecular mechanisms underlying microfibril orientation and cell wall mechanics.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 2%
Brazil 1 2%
United Kingdom 1 2%
Canada 1 2%
Japan 1 2%
United States 1 2%
Unknown 38 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Professor > Associate Professor 8 18%
Student > Ph. D. Student 7 16%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 7 16%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 55%
Biochemistry, Genetics and Molecular Biology 4 9%
Materials Science 4 9%
Environmental Science 1 2%
Computer Science 1 2%
Other 3 7%
Unknown 7 16%

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 03 October 2011.
All research outputs
#3,107,957
of 4,506,214 outputs
Outputs from BMC Genomics
#3,042
of 4,113 outputs
Outputs of similar age
#40,711
of 65,959 outputs
Outputs of similar age from BMC Genomics
#51
of 87 outputs
Altmetric has tracked 4,506,214 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,113 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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