Plant Metabolomics
Springer New York
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Attention Score in Context
| Chapter title |
Acquisition of Volatile Compounds by Gas Chromatography–Mass Spectrometry (GC-MS)
|
|---|---|
| Chapter number | 16 |
| Book title |
Plant Metabolomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7819-9_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7818-2, 978-1-4939-7819-9
|
| Authors |
José G. Vallarino, Alexander Erban, Ines Fehrle, Alisdair R. Fernie, Joachim Kopka, Sonia Osorio, Vallarino, José G., Erban, Alexander, Fehrle, Ines, Fernie, Alisdair R., Kopka, Joachim, Osorio, Sonia |
| Abstract |
Plants synthesize and emit a large range of volatile organic compounds (VOCs) that play important roles in their interactions with the environment, from attracting pollinators and seed dispersers to protectants such as repellants and pathogen inhibitors. As such, the development of techniques for headspace collection of volatiles in combination with gas chromatography-mass spectrometry (GC-MS) has an important impact on our understanding of the biosynthesis of plant VOCs. Furthermore, knowledge of the plant VOCs can be valuable in relation to plant breeding for improving fruit flavor or enhancing resistance to insects or pathogens. This chapter describes a reliable method for extracting volatile compounds by headspace solid-phase microextraction (HS-SPME), and separate and detect them by GC-MS. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 28% |
| Researcher | 5 | 16% |
| Student > Doctoral Student | 3 | 9% |
| Student > Master | 2 | 6% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 41% |
| Environmental Science | 2 | 6% |
| Chemistry | 2 | 6% |
| Unspecified | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 31% |
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 16 May 2018.
All research outputs
#20,742,744
of 23,344,526 outputs
Outputs from Methods in molecular biology
#10,114
of 13,338 outputs
Outputs of similar age
#380,340
of 444,166 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,502 outputs
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So far Altmetric has tracked 13,338 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,502 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.