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Application of Various Normalization Methods for Microscale Analysis of Tissues Using Direct Analyte Probed Nanoextraction

Overview of attention for article published in Analytical Chemistry, September 2018
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Article details
Title
Application of Various Normalization Methods for Microscale Analysis of Tissues Using Direct Analyte Probed Nanoextraction
Published in
Analytical Chemistry, September 2018
DOI 10.1021/acs.analchem.8b03016
Pubmed ID
Authors
Abstract

Direct analyte probed nanoextraction (DAPNe) is a method of extracting material from a microscale region of a sample and provides the opportunity for detailed mass spectrometry analysis of extracted analytes from a small area. The technique has been shown to provide enhanced sensitivity compared with bulk analysis by selectively removing analytes from their matrix and has been applied for selective analysis of single cells and even single organelles. However, the quantitative capabilities of the technique are yet to be fully evaluated. In this study, various normalization techniques were investigated in order to improve the quantitative capabilities of the technique. Two methods of internal standard incorporation were applied to test substrates, which were designed to replicate biological sample matrices. Additionally, normalization to the extraction spot area and matrix compounds were investigated for suitability in situations when an internal standard is not available. The variability observed can be significantly reduced by using a sprayed internal standard and, in some cases, by normalizing to the extracted area.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 5 16%
Student > Ph. D. Student 5 16%
Student > Master 2 6%
Researcher 2 6%
Professor > Associate Professor 2 6%
Other 4 13%
Unknown 11 35%
Readers by discipline
Readers by discipline Count As %
Chemistry 17 55%
Nursing and Health Professions 1 3%
Agricultural and Biological Sciences 1 3%
Medicine and Dentistry 1 3%
Unknown 11 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 October 2018.
All research outputs
#15,019,263
of 23,105,443 outputs
Outputs from Analytical Chemistry
#19,493
of 26,673 outputs
Outputs of similar age
#202,912
of 341,808 outputs
Outputs of similar age from Analytical Chemistry
#186
of 353 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,673 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 24th percentile – i.e., 24% 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 341,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 353 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.