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Attention Score in Context
| Title |
Association studies including genotype by environment interactions: prospects and limits
|
|---|---|
| Published in |
BMC Genomic Data, January 2014
|
| DOI | 10.1186/1471-2156-15-3 |
| Pubmed ID | |
| Authors |
Abdoul-Aziz Saïdou, Anne-Céline Thuillet, Marie Couderc, Cédric Mariac, Yves Vigouroux |
| Abstract |
Association mapping studies offer great promise to identify polymorphisms associated with phenotypes and for understanding the genetic basis of quantitative trait variation. To date, almost all association mapping studies based on structured plant populations examined the main effects of genetic factors on the trait but did not deal with interactions between genetic factors and environment. In this paper, we propose a methodological prospect of mixed linear models to analyze genotype by environment interaction effects using association mapping designs. First, we simulated datasets to assess the power of linear mixed models to detect interaction effects. This simulation was based on two association panels composed of 90 inbreds (pearl millet) and 277 inbreds (maize). |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| France | 2 | 2% |
| Benin | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Unknown | 99 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 29% |
| Student > Ph. D. Student | 30 | 28% |
| Student > Doctoral Student | 9 | 8% |
| Other | 5 | 5% |
| Professor > Associate Professor | 5 | 5% |
| Other | 17 | 16% |
| Unknown | 11 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 80 | 74% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Computer Science | 3 | 3% |
| Social Sciences | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 0 | 0% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 January 2014.
All research outputs
#16,721,208
of 25,371,288 outputs
Outputs from BMC Genomic Data
#606
of 1,204 outputs
Outputs of similar age
#195,546
of 318,884 outputs
Outputs of similar age from BMC Genomic Data
#12
of 21 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. 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 318,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.