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Effect of Solid Biological Waste Compost on the Metabolite Profile of Brassica rapa ssp. chinensis

Overview of attention for article published in Frontiers in Plant Science, March 2018
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Title
Effect of Solid Biological Waste Compost on the Metabolite Profile of Brassica rapa ssp. chinensis
Published in
Frontiers in Plant Science, March 2018
DOI 10.3389/fpls.2018.00305
Pubmed ID
Authors

Susanne Neugart, Melanie Wiesner-Reinhold, Katja Frede, Elisabeth Jander, Thomas Homann, Harshadrai M. Rawel, Monika Schreiner, Susanne Baldermann

Abstract

Large quantities of biological waste are generated at various steps within the food production chain and a great utilization potential for this solid biological waste exists apart from the current main usage for the feedstuff sector. It remains unclear how the usage of biological waste as compost modulates plant metabolites. We investigated the effect of biological waste of the processing of coffee, aronia, and hop added to soil on the plant metabolite profile by means of liquid chromatography in pak choi sprouts. Here we demonstrate that the solid biological waste composts induced specific changes in the metabolite profiles and the changes are depending on the type of the organic residues and its concentration in soil. The targeted analysis of selected plant metabolites, associated with health beneficial properties of the Brassicaceae family, revealed increased concentrations of carotenoids (up to 3.2-fold) and decreased amounts of glucosinolates (up to 4.7-fold) as well as phenolic compounds (up to 1.5-fold).

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

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 13%
Student > Ph. D. Student 8 11%
Student > Master 6 8%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 18 25%
Unknown 22 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 31%
Chemistry 4 6%
Environmental Science 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 9 13%
Unknown 30 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 April 2018.
All research outputs
#17,944,820
of 23,041,514 outputs
Outputs from Frontiers in Plant Science
#12,260
of 20,598 outputs
Outputs of similar age
#242,263
of 333,158 outputs
Outputs of similar age from Frontiers in Plant Science
#339
of 484 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,598 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 31st percentile – i.e., 31% 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 333,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 484 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.