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Attention Score in Context
| Title |
Intact lipid imaging of mouse brain samples: MALDI, nanoparticle-laser desorption ionization, and 40 keV argon cluster secondary ion mass spectrometry
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, August 2016
|
| DOI | 10.1007/s00216-016-9812-5 |
| Pubmed ID | |
| Authors |
Amir Saeid Mohammadi, Nhu T.N. Phan, John S. Fletcher, Andrew G. Ewing |
| Abstract |
We have investigated the capability of nanoparticle-assisted laser desorption ionization mass spectrometry (NP-LDI MS), matrix-assisted laser desorption ionization (MALDI) MS, and gas cluster ion beam secondary ion mass spectrometry (GCIB SIMS) to provide maximum information available in lipid analysis and imaging of mouse brain tissue. The use of Au nanoparticles deposited as a matrix for NP-LDI MS is compared to MALDI and SIMS analysis of mouse brain tissue and allows selective detection and imaging of groups of lipid molecular ion species localizing in the white matter differently from those observed using conventional MALDI with improved imaging potential. We demonstrate that high-energy (40 keV) GCIB SIMS can act as a semi-soft ionization method to extend the useful mass range of SIMS imaging to analyze and image intact lipids in biological samples, closing the gap between conventional SIMS and MALDI techniques. The GCIB SIMS allowed the detection of more intact lipid compounds in the mouse brain compared to MALDI with regular organic matrices. The 40 keV GCIB SIMS also produced peaks observed in the NP-LDI analysis, and these peaks were strongly enhanced in intensity by exposure of the sample to trifluororacetic acid (TFA) vapor prior to analysis. These MS techniques for imaging of different types of lipids create a potential overlap and cross point that can enhance the information for imaging lipids in biological tissue sections. Graphical abstract Schematic of mass spectral imaging of a mouse brain tissue using GCIB-SIMS and MALDI techniques. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Unknown | 76 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 29% |
| Researcher | 13 | 17% |
| Student > Bachelor | 10 | 13% |
| Student > Master | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 30 | 39% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Engineering | 4 | 5% |
| Materials Science | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 September 2016.
All research outputs
#14,782,490
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,405
of 9,618 outputs
Outputs of similar age
#190,625
of 355,231 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#42
of 176 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 53% 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 355,231 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 176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.