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Mendeley readers
Attention Score in Context
| Title |
Simultaneous inference of haplotypes and alleles at a causal gene
|
|---|---|
| Published in |
Frontiers in Genetics, October 2015
|
| DOI | 10.3389/fgene.2015.00291 |
| Pubmed ID | |
| Authors |
Fabrice Larribe, Mathieu J. Dupont, Gabrielle Boucher |
| Abstract |
We present a methodology which jointly infers haplotypes and the causal alleles at a gene influencing a given trait. Often in human genetic studies, the available data consists of genotypes (series of genetic markers along the chromosomes) and a phenotype. However, for many genetic analyses, one needs haplotypes instead of genotypes. Our methodology is not only able to estimate haplotypes conditionally on the disease status, but is also able to infer the alleles at the unknown disease locus. Some applications of our methodology are in genetic mapping and in genetic counseling. |
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 30% |
| Professor | 2 | 20% |
| Student > Postgraduate | 2 | 20% |
| Researcher | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 60% |
| Mathematics | 2 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Engineering | 1 | 10% |
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 06 October 2015.
All research outputs
#18,428,159
of 22,829,683 outputs
Outputs from Frontiers in Genetics
#7,047
of 11,822 outputs
Outputs of similar age
#199,992
of 277,991 outputs
Outputs of similar age from Frontiers in Genetics
#53
of 63 outputs
Altmetric has tracked 22,829,683 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 11,822 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 63 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.