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Sialic acid metabolism and sialyltransferases: natural functions and applications

Overview of attention for article published in Applied Microbiology and Biotechnology, April 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
7 patents

Citations

dimensions_citation
210 Dimensions

Readers on

mendeley
285 Mendeley
Title
Sialic acid metabolism and sialyltransferases: natural functions and applications
Published in
Applied Microbiology and Biotechnology, April 2012
DOI 10.1007/s00253-012-4040-1
Pubmed ID
Authors

Yanhong Li, Xi Chen

Abstract

Sialic acids are a family of negatively charged monosaccharides which are commonly presented as the terminal residues in glycans of the glycoconjugates on eukaryotic cell surface or as components of capsular polysaccharides or lipooligosaccharides of some pathogenic bacteria. Due to their important biological and pathological functions, the biosynthesis, activation, transfer, breaking down, and recycle of sialic acids are attracting increasing attention. The understanding of the sialic acid metabolism in eukaryotes and bacteria leads to the development of metabolic engineering approaches for elucidating the important functions of sialic acid in mammalian systems and for large-scale production of sialosides using engineered bacterial cells. As the key enzymes in biosynthesis of sialylated structures, sialyltransferases have been continuously identified from various sources and characterized. Protein crystal structures of seven sialyltransferases have been reported. Wild-type sialyltransferases and their mutants have been applied with or without other sialoside biosynthetic enzymes for producing complex sialic acid-containing oligosaccharides and glycoconjugates. This mini-review focuses on current understanding and applications of sialic acid metabolism and sialyltransferases.

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

Geographical breakdown

Country Count As %
United States 1 <1%
Canada 1 <1%
Unknown 283 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 17%
Researcher 42 15%
Student > Master 42 15%
Student > Bachelor 31 11%
Student > Doctoral Student 16 6%
Other 35 12%
Unknown 70 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 71 25%
Agricultural and Biological Sciences 56 20%
Chemistry 39 14%
Medicine and Dentistry 15 5%
Immunology and Microbiology 12 4%
Other 15 5%
Unknown 77 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 05 October 2023.
All research outputs
#2,147,178
of 25,377,790 outputs
Outputs from Applied Microbiology and Biotechnology
#156
of 8,291 outputs
Outputs of similar age
#12,535
of 173,664 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#2
of 76 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,291 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 98% 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 173,664 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.