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Phosphoprotein analysis: from proteins to proteomes

Overview of attention for article published in Proteome Science, July 2006
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207 Mendeley
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1 CiteULike
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Title
Phosphoprotein analysis: from proteins to proteomes
Published in
Proteome Science, July 2006
DOI 10.1186/1477-5956-4-15
Pubmed ID
Authors

Frédéric Delom, Eric Chevet

Abstract

Characterization of protein modification by phosphorylation is one of the major tasks that have to be accomplished in the post-genomic era. Phosphorylation is a key reversible modification occurring mainly on serine, threonine and tyrosine residues that can regulate enzymatic activity, subcellular localization, complex formation and degradation of proteins. The understanding of the regulatory role played by phosphorylation begins with the discovery and identification of phosphoproteins and then by determining how, where and when these phosphorylation events take place. Because phosphorylation is a dynamic process difficult to quantify, we must at first acquire an inventory of phosphoproteins and characterize their phosphorylation sites. Several experimental strategies can be used to explore the phosphorylation status of proteins from individual moieties to phosphoproteomes. In this review, we will examine and catalogue how proteomics techniques can be used to answer specific questions related to protein phosphorylation. Hence, we will discuss the different methods for enrichment of phospho-proteins and -peptides, and then the various technologies for their identification, quantitation and validation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 2 <1%
Belgium 2 <1%
United States 2 <1%
Switzerland 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
Portugal 1 <1%
Other 0 0%
Unknown 195 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 29%
Researcher 43 21%
Student > Master 24 12%
Student > Bachelor 12 6%
Professor 9 4%
Other 26 13%
Unknown 32 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 103 50%
Biochemistry, Genetics and Molecular Biology 29 14%
Chemistry 18 9%
Medicine and Dentistry 7 3%
Engineering 4 2%
Other 13 6%
Unknown 33 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 28 December 2011.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Proteome Science
#174
of 208 outputs
Outputs of similar age
#88,195
of 90,744 outputs
Outputs of similar age from Proteome Science
#1
of 1 outputs
Altmetric has tracked 25,374,647 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 208 research outputs from this source. They receive a mean Attention Score of 2.8. 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 90,744 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them