↓ Skip to main content

Quantitative profiling of endocannabinoids in lipoproteins by LC–MS/MS

Overview of attention for article published in Analytical & Bioanalytical Chemistry, March 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
49 Mendeley
Title
Quantitative profiling of endocannabinoids in lipoproteins by LC–MS/MS
Published in
Analytical & Bioanalytical Chemistry, March 2015
DOI 10.1007/s00216-015-8559-8
Pubmed ID
Authors

Mesut Bilgin, Laura Bindila, Juergen Graessler, Andrej Shevchenko

Abstract

Endocannabinoids belong to a diverse family of endogenous lipid bioregulators acting as physiological ligands of cannabinoid receptor type 1 and cannabinoid receptor type 2 in the central and peripheral nervous system. They are also present in nmol L(-1) concentrations in human blood plasma; however, their association with possible molecular carriers remains poorly characterized. Here we report on the quantification of 46 endogenous molecular species from five major classes of endocannabinoids and endocannabinoid-related compounds in three lipoprotein fractions of human blood plasma: VLDL, LDL, HDL, and in the plasma lipoprotein-free fraction. Although sizable quantities of endocannabinoid-related molecules are associated with lipoproteins, we identified the lipoprotein-free fraction as a major carrier of endocannabinoids in blood circulation with the exception of 2-acylglycerols, which are markedly abundant in VLDL.

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

Geographical breakdown

Country Count As %
Austria 3 6%
United States 2 4%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 8 16%
Student > Bachelor 7 14%
Student > Master 6 12%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 22%
Biochemistry, Genetics and Molecular Biology 10 20%
Chemistry 9 18%
Medicine and Dentistry 5 10%
Neuroscience 2 4%
Other 2 4%
Unknown 10 20%
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 23 June 2015.
All research outputs
#22,834,739
of 25,461,852 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,570
of 9,646 outputs
Outputs of similar age
#251,001
of 291,543 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#104
of 155 outputs
Altmetric has tracked 25,461,852 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 9,646 research outputs from this source. They receive a mean Attention Score of 3.1. 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 291,543 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 155 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.