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A new quantitative method for gunshot residue analysis by ion beam analysis

Overview of attention for article published in Analyst, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
2 news outlets
wikipedia
1 Wikipedia page

Readers on

mendeley
59 Mendeley
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Article details
Title
A new quantitative method for gunshot residue analysis by ion beam analysis
Published in
Analyst, June 2013
DOI 10.1039/c3an00597f
Pubmed ID
Authors
Abstract

Imaging and analyzing gunshot residue (GSR) particles using the scanning electron microscope equipped with an energy dispersive X-ray spectrometer (SEM-EDS) is a standard technique that can provide important forensic evidence, but the discrimination power of this technique is limited due to low sensitivity to trace elements and difficulties in obtaining quantitative results from small particles. A new, faster method using a scanning proton microbeam and Particle Induced X-ray Emission (μ-PIXE), together with Elastic Backscattering Spectrometry (EBS) is presented for the non-destructive, quantitative analysis of the elemental composition of single GSR particles. In this study, the GSR particles were all Pb, Ba, Sb. The precision of the method is assessed. The grouping behaviour of different makes of ammunition is determined using multivariate analysis. The protocol correctly groups the cartridges studied here, with a confidence >99%, irrespective of the firearm or population of particles selected.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 59 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 %
New Zealand 1 2%
United Kingdom 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 13 22%
Student > Master 10 17%
Student > Ph. D. Student 8 14%
Researcher 4 7%
Other 3 5%
Other 6 10%
Unknown 15 25%
Readers by discipline
Readers by discipline Count As %
Chemistry 22 37%
Environmental Science 4 7%
Materials Science 4 7%
Physics and Astronomy 3 5%
Agricultural and Biological Sciences 2 3%
Other 7 12%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 21 July 2023.
All research outputs
#2,407,566
of 32,455,721 outputs
Outputs from Analyst
#120
of 8,311 outputs
Outputs of similar age
#17,705
of 234,017 outputs
Outputs of similar age from Analyst
#2
of 79 outputs
Altmetric has tracked 32,455,721 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,311 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 98% 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 234,017 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 79 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 96% of its contemporaries.