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Collisional Cross-Sections with T-Wave Ion Mobility Spectrometry without Experimental Calibration

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, April 2017
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Title
Collisional Cross-Sections with T-Wave Ion Mobility Spectrometry without Experimental Calibration
Published in
Journal of the American Society for Mass Spectrometry, April 2017
DOI 10.1007/s13361-017-1669-0
Pubmed ID
Authors

Daniel N. Mortensen, Anna C. Susa, Evan R. Williams

Abstract

A method for relating traveling-wave ion mobility spectrometry (TWIMS) drift times with collisional cross-sections using computational simulations is presented. This method is developed using SIMION modeling of the TWIMS potential wave and equations that describe the velocity of ions in gases induced by electric fields. The accuracy of this method is assessed by comparing the collisional cross-sections of 70 different reference ions obtained using this method with those obtained from static drift tube ion mobility measurements. The cross-sections obtained here with low wave velocities are very similar to those obtained using static drift (average difference = 0.3%) for ions formed from both denaturing and buffered aqueous solutions. In contrast, the cross-sections obtained with high wave velocities are significantly greater, especially for ions formed from buffered aqueous solutions. These higher cross-sections at high wave velocities may result from high-order factors not accounted for in the model presented here or from the protein ions unfolding during TWIMS. Results from this study demonstrate that collisional cross-sections can be obtained from single TWIMS drift time measurements, but that low wave velocities and gentle instrument conditions should be used in order to minimize any uncertainties resulting from high-order effects not accounted for in the present model and from any protein unfolding that might occur. Thus, the method presented here eliminates the need to calibrate TWIMS drift times with collisional cross-sections measured using other ion mobility devices. Graphical Abstract ᅟ.

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X Demographics

The data shown below were collected from the profiles of 6 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 34%
Researcher 16 25%
Student > Master 6 9%
Student > Bachelor 3 5%
Student > Doctoral Student 2 3%
Other 7 11%
Unknown 8 13%
Readers by discipline Count As %
Chemistry 34 53%
Biochemistry, Genetics and Molecular Biology 7 11%
Engineering 3 5%
Immunology and Microbiology 2 3%
Psychology 2 3%
Other 3 5%
Unknown 13 20%
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 18 July 2017.
All research outputs
#14,605,790
of 25,382,440 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#2,156
of 3,835 outputs
Outputs of similar age
#159,158
of 323,266 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#20
of 76 outputs
Altmetric has tracked 25,382,440 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 3,835 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 42nd percentile – i.e., 42% 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 323,266 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 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 72% of its contemporaries.