| Title |
Metabolomics for unknown plant metabolites
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, March 2013
|
| DOI | 10.1007/s00216-013-6869-2 |
| Pubmed ID | |
| Authors |
Ryo Nakabayashi, Kazuki Saito |
| Abstract |
In this article we discuss current trends in the techniques available for plant metabolomics. Chemical assignment of unknown metabolites leads to understanding of biosynthetic mechanisms at the gene level for genome-sequenced plants. Metabolomics using mass spectrometry has achieved innovative results in phytochemical genomics for primary and secondary metabolism in the model plant Arabidopsis thaliana by using publicly and commercially available information and standard compounds. However, finding a consolidated analytical technique for elucidation of structural information (e.g., elemental composition and structure) remains challenging. Recently, hyphenated analytical techniques and computer-assisted structural analysis with high-throughput and high-accuracy have been developing. Metabolite-driven approaches using such technology will be of central importance in phytochemical genomics. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 2% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| French Polynesia | 1 | <1% |
| Uruguay | 1 | <1% |
| Australia | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 145 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 25% |
| Researcher | 34 | 21% |
| Student > Master | 18 | 11% |
| Student > Doctoral Student | 13 | 8% |
| Student > Bachelor | 12 | 8% |
| Other | 27 | 17% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 40% |
| Chemistry | 30 | 19% |
| Biochemistry, Genetics and Molecular Biology | 19 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 5% |
| Physics and Astronomy | 3 | 2% |
| Other | 13 | 8% |
| Unknown | 22 | 14% |
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 04 September 2022.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,669
of 9,619 outputs
Outputs of similar age
#135,144
of 210,266 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#45
of 73 outputs
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