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Advanced Plant-Based Glycan Engineering

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, June 2018
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130 Mendeley
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Title
Advanced Plant-Based Glycan Engineering
Published in
Frontiers in Bioengineering and Biotechnology, June 2018
DOI 10.3389/fbioe.2018.00081
Pubmed ID
Authors

Laura Montero-Morales, Herta Steinkellner

Abstract

With respect to biomanufacturing, glycosylation is one of the most addressed post-translational modifications, since it is well-known that the attachment of sugar residues efficiently affects protein homogeneity and functionality. Much effort has been taken into engineering various expression systems to control glycosylation and to generate molecules with targeted sugar profiles. Nevertheless, engineering of N- and O-linked glycans on well-established expression systems remains challenging. On the one side the glycosylation machinery in mammalian cells is hard to control due to its complexity. Most bacteria, on the other side, completely lack such glycan formations, and in general exhibit fundamental differences in their glycosylation abilities. Beyond that, plants generate complex N-glycans typical of higher eukaryotes, but simpler than those produced by mammals. Paradoxically, it seems that the limited glycosylation capacity of plant cells is an advantage for specific glycan manipulations. This review focuses on recent achievements in plant glycan engineering and provides a short outlook on how new developments (in synthetic biology) might have a positive impact.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 18%
Student > Master 20 15%
Student > Bachelor 16 12%
Researcher 15 12%
Student > Doctoral Student 5 4%
Other 16 12%
Unknown 35 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 42%
Agricultural and Biological Sciences 18 14%
Chemical Engineering 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Engineering 3 2%
Other 7 5%
Unknown 41 32%
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 23 November 2020.
All research outputs
#14,699,323
of 24,654,957 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,917
of 7,986 outputs
Outputs of similar age
#174,784
of 333,660 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#30
of 54 outputs
Altmetric has tracked 24,654,957 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,986 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 74% 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 333,660 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.