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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identity-by-descent genomic selection using selective and sparse genotyping
|
|---|---|
| Published in |
Genetics Selection Evolution, January 2014
|
| DOI | 10.1186/1297-9686-46-3 |
| Pubmed ID | |
| Authors |
Jørgen Ødegård, Theo HE Meuwissen |
| Abstract |
Genomic selection methods require dense and widespread genotyping data, posing a particular challenge if both sexes are subject to intense selection (e.g., aquaculture species). This study focuses on alternative low-cost genomic selection methods (IBD-GS) that use selective genotyping with sparse marker panels to estimate identity-by-descent relationships through linkage analysis. Our aim was to evaluate the potential of these methods in selection programs for continuous traits measured on sibs of selection candidates in a typical aquaculture breeding population. |
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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 3% |
| Colombia | 1 | 1% |
| Sweden | 1 | 1% |
| France | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 64 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 34% |
| Student > Ph. D. Student | 16 | 23% |
| Other | 6 | 8% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 73% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Computer Science | 2 | 3% |
| Unspecified | 1 | 1% |
| Mathematics | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 8 | 11% |
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 22 January 2014.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Genetics Selection Evolution
#667
of 822 outputs
Outputs of similar age
#243,506
of 321,167 outputs
Outputs of similar age from Genetics Selection Evolution
#9
of 12 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 6th percentile – i.e., 6% 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 321,167 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.