↓ Skip to main content

Predictive sulfur metabolism – a field in flux

Overview of attention for article published in Frontiers in Plant Science, November 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
56 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Predictive sulfur metabolism – a field in flux
Published in
Frontiers in Plant Science, November 2014
DOI 10.3389/fpls.2014.00646
Pubmed ID
Authors

Alexander Calderwood, Richard J. Morris, Stanislav Kopriva

Abstract

The key role of sulfur metabolites in response to biotic and abiotic stress in plants, as well as their importance in diet and health has led to a significant interest and effort in trying to understand and manipulate the production of relevant compounds. Metabolic engineering utilizes a set of theoretical tools to help rationally design modifications that enhance the production of a desired metabolite. Such approaches have proven their value in bacterial systems, however, the paucity of success stories to date in plants, suggests that challenges remain. Here, we review the most commonly used methods for understanding metabolic flux, focusing on the sulfur assimilatory pathway. We highlight known issues with both experimental and theoretical approaches, as well as presenting recent methods for integrating different modeling strategies, and progress toward an understanding of flux at the whole plant level.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Student > Master 9 16%
Researcher 7 13%
Professor 4 7%
Student > Postgraduate 3 5%
Other 11 20%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 52%
Biochemistry, Genetics and Molecular Biology 8 14%
Environmental Science 4 7%
Computer Science 2 4%
Medicine and Dentistry 2 4%
Other 2 4%
Unknown 9 16%
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 27 November 2014.
All research outputs
#15,310,749
of 22,771,140 outputs
Outputs from Frontiers in Plant Science
#10,790
of 20,070 outputs
Outputs of similar age
#214,169
of 362,502 outputs
Outputs of similar age from Frontiers in Plant Science
#111
of 207 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,070 research outputs from this source. They receive a mean Attention Score of 4.0. 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 362,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.