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N-glycoprotein macroheterogeneity: biological implications and proteomic characterization

Overview of attention for article published in Glycoconjugate Journal, December 2015
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Title
N-glycoprotein macroheterogeneity: biological implications and proteomic characterization
Published in
Glycoconjugate Journal, December 2015
DOI 10.1007/s10719-015-9641-3
Pubmed ID
Authors

Lucia F. Zacchi, Benjamin L. Schulz

Abstract

Glycosylation is a co- and post-translational modification that is critical for the regulation of the biophysical properties and biological activities of diverse proteins. Biosynthetic pathways for protein glycosylation are inherently inefficient, resulting in high structural diversity in mature glycoproteins. Macroheterogeneity is the structural diversity due to the presence or absence of glycans at specific glycosylation sites, and is caused by inefficiency in the initial transfer of glycans to proteins. Here, we review the enzymatic and evolutionary mechanisms controlling macroheterogeneity, its biological consequences in physiological and disease states, its relevance to heterologous production and glycoengineering of glycoproteins, and mass spectrometry based methods for its analysis. We highlight the importance of the analysis of macroheterogeneity for a complete understanding of glycoprotein biosynthesis and function, and emphasize how advances in mass spectrometry glycoproteomics will enable analysis of this critical facet of glycoprotein structural diversity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Student > Master 8 10%
Student > Bachelor 6 8%
Researcher 6 8%
Student > Doctoral Student 4 5%
Other 12 15%
Unknown 22 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 21%
Chemistry 8 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Engineering 5 6%
Unspecified 4 5%
Other 12 15%
Unknown 27 35%
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 11 December 2017.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from Glycoconjugate Journal
#623
of 929 outputs
Outputs of similar age
#200,162
of 394,931 outputs
Outputs of similar age from Glycoconjugate Journal
#9
of 14 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 929 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 30th percentile – i.e., 30% 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 394,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.