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Evaluating plant immunity using mass spectrometry-based metabolomics workflows

Overview of attention for article published in Frontiers in Plant Science, June 2014
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Title
Evaluating plant immunity using mass spectrometry-based metabolomics workflows
Published in
Frontiers in Plant Science, June 2014
DOI 10.3389/fpls.2014.00291
Pubmed ID
Authors

Adam L. Heuberger, Faith M. Robison, Sarah Marie A. Lyons, Corey D. Broeckling, Jessica E. Prenni

Abstract

Metabolic processes in plants are key components of physiological and biochemical disease resistance. Metabolomics, the analysis of a broad range of small molecule compounds in a biological system, has been used to provide a systems-wide overview of plant metabolism associated with defense responses. Plant immunity has been examined using multiple metabolomics workflows that vary in methods of detection, annotation, and interpretation, and the choice of workflow can significantly impact the conclusions inferred from a metabolomics investigation. The broad range of metabolites involved in plant defense often requires multiple chemical detection platforms and implementation of a non-targeted approach. A review of the current literature reveals a wide range of workflows that are currently used in plant metabolomics, and new methods for analyzing and reporting mass spectrometry (MS) data can improve the ability to translate investigative findings among different plant-pathogen systems.

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The data shown below were collected from the profiles of 2 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
South Africa 1 <1%
Spain 1 <1%
Unknown 167 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 27%
Student > Master 30 18%
Researcher 22 13%
Student > Doctoral Student 11 6%
Professor > Associate Professor 8 5%
Other 26 15%
Unknown 28 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 47%
Biochemistry, Genetics and Molecular Biology 22 13%
Chemistry 14 8%
Medicine and Dentistry 4 2%
Environmental Science 3 2%
Other 12 7%
Unknown 35 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 November 2014.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Frontiers in Plant Science
#9,645
of 24,597 outputs
Outputs of similar age
#132,572
of 243,030 outputs
Outputs of similar age from Frontiers in Plant Science
#50
of 164 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,597 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 56% 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 243,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 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 67% of its contemporaries.