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Multivariate Analysis of MALDI Imaging Mass Spectrometry Data of Mixtures of Single Pollen Grains

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, July 2018
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Title
Multivariate Analysis of MALDI Imaging Mass Spectrometry Data of Mixtures of Single Pollen Grains
Published in
Journal of the American Society for Mass Spectrometry, July 2018
DOI 10.1007/s13361-018-2036-5
Pubmed ID
Authors

Franziska Lauer, Sabrina Diehn, Stephan Seifert, Janina Kneipp, Volker Sauerland, Cesar Barahona, Steffen Weidner

Abstract

Mixtures of pollen grains of three different species (Corylus avellana, Alnus cordata, and Pinus sylvestris) were investigated by matrix-assisted laser desorption/ionization time-of-flight imaging mass spectrometry (MALDI-TOF imaging MS). The amount of pollen grains was reduced stepwise from > 10 to single pollen grains. For sample pretreatment, we modified a previously applied approach, where any additional extraction steps were omitted. Our results show that characteristic pollen MALDI mass spectra can be obtained from a single pollen grain, which is the prerequisite for a reliable pollen classification in practical applications. MALDI imaging of laterally resolved pollen grains provides additional information by reducing the complexity of the MS spectra of mixtures, where frequently peak discrimination is observed. Combined with multivariate statistical analyses, such as principal component analysis (PCA), our approach offers the chance for a fast and reliable identification of individual pollen grains by mass spectrometry. Graphical Abstract ᅟ.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Other 2 11%
Unspecified 2 11%
Student > Master 2 11%
Professor 2 11%
Other 3 16%
Unknown 5 26%
Readers by discipline Count As %
Chemistry 5 26%
Unspecified 2 11%
Computer Science 2 11%
Medicine and Dentistry 2 11%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 2 11%
Unknown 5 26%
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 19 October 2018.
All research outputs
#14,920,631
of 25,385,509 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#2,221
of 3,835 outputs
Outputs of similar age
#175,319
of 340,712 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#16
of 62 outputs
Altmetric has tracked 25,385,509 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 3,835 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 40th percentile – i.e., 40% 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 340,712 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 62 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.