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LipidPioneer : A Comprehensive User-Generated Exact Mass Template for Lipidomics

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, January 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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9 X users
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1 Facebook page

Citations

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27 Dimensions

Readers on

mendeley
55 Mendeley
Title
LipidPioneer : A Comprehensive User-Generated Exact Mass Template for Lipidomics
Published in
Journal of the American Society for Mass Spectrometry, January 2017
DOI 10.1007/s13361-016-1579-6
Pubmed ID
Authors

Candice Z. Ulmer, Jeremy P. Koelmel, Jared M. Ragland, Timothy J. Garrett, John A. Bowden

Abstract

Lipidomics, the comprehensive measurement of lipid species in a biological system, has promising potential in biomarker discovery and disease etiology elucidation. Advances in chromatographic separation, mass spectrometric techniques, and novel substrate applications continue to expand the number of lipid species observed. The total number and type of lipid species detected in a given sample are generally indicative of the sample matrix examined (e.g., serum, plasma, cells, bacteria, tissue, etc.). Current exact mass lipid libraries are static and represent the most commonly analyzed matrices. It is common practice for users to manually curate their own lists of lipid species and adduct masses; however, this process is time-consuming. LipidPioneer, an interactive template, can be used to generate exact masses and molecular formulas of lipid species that may be encountered in the mass spectrometric analysis of lipid profiles. Over 60 lipid classes are present in the LipidPioneer template and include several unique lipid species, such as ether-linked lipids and lipid oxidation products. In the template, users can add any fatty acyl constituents without limitation in the number of carbons or degrees of unsaturation. LipidPioneer accepts naming using the lipid class level (sum composition) and the LIPID MAPS notation for fatty acyl structure level. In addition to lipid identification, user-generated lipid m/z values can be used to develop inclusion lists for targeted fragmentation experiments. Resulting lipid names and m/z values can be imported into software such as MZmine or Compound Discoverer to automate exact mass searching and isotopic pattern matching across experimental data. Graphical Abstract ᅟ.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 10 18%
Student > Bachelor 7 13%
Other 4 7%
Professor > Associate Professor 3 5%
Other 6 11%
Unknown 14 25%
Readers by discipline Count As %
Chemistry 16 29%
Agricultural and Biological Sciences 7 13%
Biochemistry, Genetics and Molecular Biology 6 11%
Medicine and Dentistry 4 7%
Computer Science 2 4%
Other 5 9%
Unknown 15 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 March 2017.
All research outputs
#7,355,930
of 25,374,647 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#1,014
of 3,833 outputs
Outputs of similar age
#126,895
of 423,372 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#10
of 64 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,833 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 72% 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 423,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.