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Applications of ion-mobility mass spectrometry for lipid analysis

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2015
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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2 X users
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3 patents

Citations

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160 Dimensions

Readers on

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225 Mendeley
Title
Applications of ion-mobility mass spectrometry for lipid analysis
Published in
Analytical & Bioanalytical Chemistry, April 2015
DOI 10.1007/s00216-015-8664-8
Pubmed ID
Authors

Giuseppe Paglia, Michal Kliman, Emmanuelle Claude, Scott Geromanos, Giuseppe Astarita

Abstract

The high chemical complexity of the lipidome is one of the major challenges in lipidomics research. Ion-mobility spectrometry (IMS), a gas-phase electrophoretic technique, makes possible the separation of ions in the gas phase according to their charge, shape, and size. IMS can be combined with mass spectrometry (MS), adding three major benefits to traditional lipidomic approaches. First, IMS-MS allows the determination of the collision cross section (CCS), a physicochemical measure related to the conformational structure of lipid ions. The CCS is used to improve the confidence of lipid identification. Second, IMS-MS provides a new set of hybrid fragmentation experiments. These experiments, which combine collision-induced dissociation with ion-mobility separation, improve the specificity of MS/MS-based approaches. Third, IMS-MS improves the peak capacity and signal-to-noise ratio of traditional analytical approaches. In doing so, it allows the separation of complex lipid extracts from interfering isobaric species. Developing in parallel with advances in instrumentation, informatics solutions enable analysts to process and exploit IMS-MS data for qualitative and quantitative applications. Here we review the current approaches for lipidomics research based on IMS-MS, including liquid chromatography-MS and direct-MS analyses of "shotgun" lipidomics and MS imaging.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Italy 1 <1%
Israel 1 <1%
Austria 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 215 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 27%
Researcher 41 18%
Student > Master 24 11%
Student > Doctoral Student 14 6%
Professor 10 4%
Other 29 13%
Unknown 47 21%
Readers by discipline Count As %
Chemistry 86 38%
Biochemistry, Genetics and Molecular Biology 28 12%
Agricultural and Biological Sciences 21 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Veterinary Science and Veterinary Medicine 3 1%
Other 23 10%
Unknown 60 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 October 2022.
All research outputs
#7,778,510
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,786
of 9,619 outputs
Outputs of similar age
#86,002
of 279,643 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#17
of 181 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 69th percentile.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 80% 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 279,643 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 181 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 90% of its contemporaries.