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Mentioned by

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4 X users
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1 Facebook page

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mendeley
42 Mendeley
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Article details
Title
A Time-of-Flight Secondary Ion Mass Spectrometry/Multivariate Analysis (ToF-SIMS/MVA) Approach To Identify Phase Segregation in Blends of Incompatible but Extremely Similar Resins
Published in
Analytical Chemistry, February 2018
DOI 10.1021/acs.analchem.7b04877
Pubmed ID
Authors
Abstract

This work presents a data analysis extension to a well-established methodology for the assessment of organic coatings using imaging time-of-flight secondary ion mass spectrometry (ToF-SIMS). Such an approach produced results that can be analysed using a multivariate analysis (MVA) procedure that performs the simultaneous processing of spatially and chemically related datasets. The coatings consist of two commercial resins that yield extremely similar spectra and there are no peaks of sufficient intensity that are uniquely diagnostic of either material to provide an unambiguous identification of each. In order to resolve the problem, in addition to microtome-based sample preparation steps of tapers for the analysis through sample thickness, standard samples in cured and uncured conditions are introduced and measured in the same fashion as the specimens under investigation. The resulting ToF-SIMS imaging datasets have been processed using non-negative matrix factorisation (NMF), which enabled identification of phase separation in the cured coatings.

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

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 31%
Researcher 8 19%
Student > Master 4 10%
Other 3 7%
Student > Bachelor 2 5%
Other 2 5%
Unknown 10 24%
Readers by discipline
Readers by discipline Count As %
Chemistry 10 24%
Agricultural and Biological Sciences 4 10%
Physics and Astronomy 3 7%
Materials Science 3 7%
Engineering 2 5%
Other 10 24%
Unknown 10 24%
Attention Score in Context

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 10 March 2018.
All research outputs
#16,602,655
of 28,205,437 outputs
Outputs from Analytical Chemistry
#19,686
of 30,033 outputs
Outputs of similar age
#180,776
of 349,240 outputs
Outputs of similar age from Analytical Chemistry
#175
of 422 outputs
Altmetric has tracked 28,205,437 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,033 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 33rd percentile – i.e., 33% 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 349,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 422 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.