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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome Wide Association Mapping of Grain Arsenic, Copper, Molybdenum and Zinc in Rice (Oryza sativa L.) Grown at Four International Field Sites
|
|---|---|
| Published in |
PLOS ONE, February 2014
|
| DOI | 10.1371/journal.pone.0089685 |
| Pubmed ID | |
| Authors |
Gareth J. Norton, Alex Douglas, Brett Lahner, Elena Yakubova, Mary Lou Guerinot, Shannon R. M. Pinson, Lee Tarpley, Georgia C. Eizenga, Steve P. McGrath, Fang-Jie Zhao, M. Rafiqul Islam, Shofiqul Islam, Guilan Duan, Yongguan Zhu, David E. Salt, Andrew A. Meharg, Adam H. Price |
| Abstract |
The mineral concentrations in cereals are important for human health, especially for individuals who consume a cereal subsistence diet. A number of elements, such as zinc, are required within the diet, while some elements are toxic to humans, for example arsenic. In this study we carry out genome-wide association (GWA) mapping of grain concentrations of arsenic, copper, molybdenum and zinc in brown rice using an established rice diversity panel of ∼ 300 accessions and 36.9 k single nucleotide polymorphisms (SNPs). The study was performed across five environments: one field site in Bangladesh, one in China and two in the US, with one of the US sites repeated over two years. GWA mapping on the whole dataset and on separate subpopulations of rice revealed a large number of loci significantly associated with variation in grain arsenic, copper, molybdenum and zinc. Seventeen of these loci were detected in data obtained from grain cultivated in more than one field location, and six co-localise with previously identified quantitative trait loci. Additionally, a number of candidate genes for the uptake or transport of these elements were located near significantly associated SNPs (within 200 kb, the estimated global linkage disequilibrium previously employed in this rice panel). This analysis highlights a number of genomic regions and candidate genes for further analysis as well as the challenges faced when mapping environmentally-variable traits in a highly genetically structured diversity panel. |
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 % |
|---|---|---|
| United Kingdom | 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Bolivia, Plurinational State of | 1 | <1% |
| Indonesia | 1 | <1% |
| Sri Lanka | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 163 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 24% |
| Researcher | 38 | 22% |
| Student > Postgraduate | 11 | 7% |
| Student > Master | 11 | 7% |
| Student > Doctoral Student | 10 | 6% |
| Other | 26 | 15% |
| Unknown | 33 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 53% |
| Biochemistry, Genetics and Molecular Biology | 15 | 9% |
| Environmental Science | 13 | 8% |
| Medicine and Dentistry | 5 | 3% |
| Chemistry | 3 | 2% |
| Other | 3 | 2% |
| Unknown | 40 | 24% |
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 31 March 2014.
All research outputs
#18,369,403
of 22,751,628 outputs
Outputs from PLOS ONE
#154,394
of 194,172 outputs
Outputs of similar age
#160,739
of 220,976 outputs
Outputs of similar age from PLOS ONE
#4,465
of 5,865 outputs
Altmetric has tracked 22,751,628 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 194,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 10th percentile – i.e., 10% 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 220,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,865 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.