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Chapter title |
Genome-Wide Association Mapping Analyses Applied to Polyamines
|
---|---|
Chapter number | 35 |
Book title |
Polyamines
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7398-9_35 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7397-2, 978-1-4939-7398-9
|
Authors |
Luis Barboza-Barquero, Paul Esker, Rubén Alcázar |
Abstract |
Genome Wide Association Studies (GWAS) allow the use of natural variation to understand the genetics controlling specific traits. Efficient methods to conduct GWAS in plants have been reported. This chapter provides the main steps to conduct and analyse GWAS in Arabidopsis thaliana using polyamine levels as trait. This approach is suitable for the discovery of genes that modulate the levels of polyamines, and can be used in combination with different types of stress. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 33% |
Student > Ph. D. Student | 1 | 33% |
Professor > Associate Professor | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 67% |
Biochemistry, Genetics and Molecular Biology | 1 | 33% |
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 30 October 2017.
All research outputs
#18,575,277
of 23,007,053 outputs
Outputs from Methods in molecular biology
#7,961
of 13,159 outputs
Outputs of similar age
#330,463
of 442,258 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,498 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,498 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.