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Getting to know the extracellular vesicle glycome

Overview of attention for article published in Molecular BioSystems, January 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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4 X users
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1 patent
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1 Facebook page

Citations

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77 Dimensions

Readers on

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143 Mendeley
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Title
Getting to know the extracellular vesicle glycome
Published in
Molecular BioSystems, January 2016
DOI 10.1039/c5mb00835b
Pubmed ID
Authors

Jared Q. Gerlach, Matthew D. Griffin

Abstract

Extracellular vesicles (EVs) are a diverse population of complex biological particles with diameters ranging from approximately 20 to 1000 nm. Tremendous interest in EVs has been generated following a number of recent, high-profile reports describing their potential utility in diagnostic, prognostic, drug delivery, and therapeutic roles. Subpopulations, such as exosomes, are now known to directly participate in cell-cell communication and direct material transfer. Glycomics, the 'omic' portion of the glycobiology field, has only begun to catalog the surface oligosaccharide and polysaccharide structures and also the carbohydrate-binding proteins found on and inside EVs. The EV glycome undoubtedly contains vital clues essential to better understanding the function, biogenesis, release and transfer of vesicles, however getting at this information is technically challenging and made even more so because of the small physical size of the vesicles and the typically minute yield from physiological-scale biological samples. Vesicle micro-heterogeneity which may be related to specific vesicle origins and functions presents a further challenge. A number of primary studies carried out over the past decade have turned up specific and valuable clues regarding the composition and roles of glycan structures and also glycan binding proteins involved EV biogenesis and transfer. This review explores some of the major EV glycobiological research carried out to date and discusses the potential implications of these findings across the life sciences.

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

Geographical breakdown

Country Count As %
Denmark 1 <1%
Argentina 1 <1%
Unknown 141 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 21%
Researcher 29 20%
Student > Master 13 9%
Student > Doctoral Student 10 7%
Student > Bachelor 8 6%
Other 19 13%
Unknown 34 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 28%
Medicine and Dentistry 15 10%
Agricultural and Biological Sciences 13 9%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Immunology and Microbiology 5 3%
Other 22 15%
Unknown 41 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 February 2022.
All research outputs
#6,754,036
of 25,374,647 outputs
Outputs from Molecular BioSystems
#382
of 1,765 outputs
Outputs of similar age
#97,696
of 399,674 outputs
Outputs of similar age from Molecular BioSystems
#46
of 212 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,765 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 78% 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 399,674 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.