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Integrated metabolomics and phytochemical genomics approaches for studies on rice

Overview of attention for article published in Giga Science, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 tweeters
peer_reviews
1 peer review site
facebook
2 Facebook pages

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
100 Mendeley
citeulike
1 CiteULike
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Title
Integrated metabolomics and phytochemical genomics approaches for studies on rice
Published in
Giga Science, March 2016
DOI 10.1186/s13742-016-0116-7
Pubmed ID
Authors

Yozo Okazaki, Kazuki Saito

Abstract

Metabolomics is widely employed to monitor the cellular metabolic state and assess the quality of plant-derived foodstuffs because it can be used to manage datasets that include a wide range of metabolites in their analytical samples. In this review, we discuss metabolomics research on rice in order to elucidate the overall regulation of the metabolism as it is related to the growth and mechanisms of adaptation to genetic modifications and environmental stresses such as fungal infections, submergence, and oxidative stress. We also focus on phytochemical genomics studies based on a combination of metabolomics and quantitative trait locus (QTL) mapping techniques. In addition to starch, rice produces many metabolites that also serve as nutrients for human consumers. The outcomes of recent phytochemical genomics studies of diverse natural rice resources suggest there is potential for using further effective breeding strategies to improve the quality of ingredients in rice grains.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Colombia 1 1%
Germany 1 1%
Unknown 97 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 29%
Researcher 11 11%
Student > Master 11 11%
Student > Doctoral Student 7 7%
Student > Postgraduate 7 7%
Other 17 17%
Unknown 18 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 44%
Biochemistry, Genetics and Molecular Biology 19 19%
Chemistry 6 6%
Computer Science 3 3%
Medicine and Dentistry 3 3%
Other 6 6%
Unknown 19 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 March 2016.
All research outputs
#422,322
of 7,386,232 outputs
Outputs from Giga Science
#115
of 210 outputs
Outputs of similar age
#25,411
of 282,250 outputs
Outputs of similar age from Giga Science
#8
of 16 outputs
Altmetric has tracked 7,386,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 45th percentile – i.e., 45% 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 282,250 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 16 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 50% of its contemporaries.