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Mendeley readers
Attention Score in Context
| Title |
Hierarchical likelihood opens a new way of estimating genetic values using genome-wide dense marker maps
|
|---|---|
| Published in |
BMC Proceedings, May 2011
|
| DOI | 10.1186/1753-6561-5-s3-s14 |
| Pubmed ID | |
| Authors |
Xia Shen, Lars Rönnegård, Örjan Carlborg |
| Abstract |
Genome-wide dense markers have been used to detect genes and estimate relative genetic values. Among many methods, Bayesian techniques have been widely used and shown to be powerful in genome-wide breeding value estimation and association studies. However, computation is known to be intensive under the Bayesian framework, and specifying a prior distribution for each parameter is always required for Bayesian computation. We propose the use of hierarchical likelihood to solve such problems. |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 5% |
| Unknown | 18 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 32% |
| Researcher | 4 | 21% |
| Student > Master | 3 | 16% |
| Student > Bachelor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 53% |
| Computer Science | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Mathematics | 1 | 5% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 4 | 21% |
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 May 2011.
All research outputs
#20,143,522
of 22,649,029 outputs
Outputs from BMC Proceedings
#318
of 374 outputs
Outputs of similar age
#104,103
of 111,987 outputs
Outputs of similar age from BMC Proceedings
#33
of 42 outputs
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So far Altmetric has tracked 374 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 42 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.