↓ Skip to main content

Quantitation, networking, and function of protein phosphorylation in plant cell

Overview of attention for article published in Frontiers in Plant Science, January 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
30 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Quantitation, networking, and function of protein phosphorylation in plant cell
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2012.00302
Pubmed ID
Authors

Lin Zhu, Ning Li

Abstract

Protein phosphorylation is one of the most important post-translational modifications (PTMs) as it participates in regulating various cellular processes and biological functions. It is therefore crucial to identify phosphorylated proteins to construct a phosphor-relay network, and eventually to understand the underlying molecular regulatory mechanism in response to both internal and external stimuli. The changes in phosphorylation status at these novel phosphosites can be accurately measured using a (15)N-stable isotopic labeling in Arabidopsis (SILIA) quantitative proteomic approach in a high-throughput manner. One of the unique characteristics of the SILIA quantitative phosphoproteomic approach is the preservation of native PTM status on protein during the entire peptide preparation procedure. Evolved from SILIA is another quantitative PTM proteomic approach, AQUIP (absolute quantitation of isoforms of post-translationally modified proteins), which was developed by combining the advantages of targeted proteomics with SILIA. Bioinformatics-based phosphorylation site prediction coupled with an MS-based in vitro kinase assay is an additional way to extend the capability of phosphosite identification from the total cellular protein. The combined use of SILIA and AQUIP provides a novel strategy for molecular systems biological study and for investigation of in vivo biological functions of these phosphoprotein isoforms and combinatorial codes of PTMs.

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

Geographical breakdown

Country Count As %
Austria 1 3%
South Africa 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Master 6 20%
Researcher 4 13%
Student > Bachelor 3 10%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 50%
Biochemistry, Genetics and Molecular Biology 4 13%
Computer Science 2 7%
Engineering 2 7%
Physics and Astronomy 1 3%
Other 0 0%
Unknown 6 20%
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 08 January 2013.
All research outputs
#20,178,031
of 22,691,736 outputs
Outputs from Frontiers in Plant Science
#15,792
of 19,893 outputs
Outputs of similar age
#248,691
of 280,671 outputs
Outputs of similar age from Frontiers in Plant Science
#241
of 517 outputs
Altmetric has tracked 22,691,736 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 19,893 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 280,671 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 517 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.