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A novel four-dimensional analytical approach for analysis of complex samples

Overview of attention for article published in Analytical & Bioanalytical Chemistry, April 2016
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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2 news outlets
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1 X user

Citations

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57 Dimensions

Readers on

mendeley
68 Mendeley
Title
A novel four-dimensional analytical approach for analysis of complex samples
Published in
Analytical & Bioanalytical Chemistry, April 2016
DOI 10.1007/s00216-016-9460-9
Pubmed ID
Authors

Susanne Stephan, Cornelia Jakob, Jörg Hippler, Oliver J. Schmitz

Abstract

A two-dimensional LC (2D-LC) method, based on the work of Erni and Frei in 1978, was developed and coupled to an ion mobility-high-resolution mass spectrometer (IM-MS), which enabled the separation of complex samples in four dimensions (2D-LC, ion mobility spectrometry (IMS), and mass spectrometry (MS)). This approach works as a continuous multiheart-cutting LC system, using a long modulation time of 4 min, which allows the complete transfer of most of the first - dimension peaks to the second - dimension column without fractionation, in comparison to comprehensive two-dimensional liquid chromatography. Hence, each compound delivers only one peak in the second dimension, which simplifies the data handling even when ion mobility spectrometry as a third and mass spectrometry as a fourth dimension are introduced. The analysis of a plant extract from Ginkgo biloba shows the separation power of this four-dimensional separation method with a calculated total peak capacity of more than 8700. Furthermore, the advantage of ion mobility for characterizing unknown compounds by their collision cross section (CCS) and accurate mass in a non-target approach is shown for different matrices like plant extracts and coffee. Graphical abstract Principle of the four-dimensional separation.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Canada 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 35%
Researcher 11 16%
Student > Master 9 13%
Student > Doctoral Student 4 6%
Student > Bachelor 3 4%
Other 9 13%
Unknown 8 12%
Readers by discipline Count As %
Chemistry 28 41%
Biochemistry, Genetics and Molecular Biology 5 7%
Agricultural and Biological Sciences 3 4%
Environmental Science 3 4%
Engineering 2 3%
Other 5 7%
Unknown 22 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 November 2016.
All research outputs
#2,174,669
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#132
of 9,619 outputs
Outputs of similar age
#35,100
of 314,727 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#6
of 139 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 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 314,727 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 139 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 95% of its contemporaries.