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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic breeding value prediction and QTL mapping of QTLMAS2011 data using Bayesian and GBLUP methods
|
|---|---|
| Published in |
BMC Proceedings, May 2012
|
| DOI | 10.1186/1753-6561-6-s2-s7 |
| Pubmed ID | |
| Authors |
Jian Zeng, Marcin Pszczola, Anna Wolc, Tomasz Strabel, Rohan L Fernando, Dorian J Garrick, Jack CM Dekkers |
| Abstract |
The goal of this study was to apply Bayesian and GBLUP methods to predict genomic breeding values (GEBV), map QTL positions and explore the genetic architecture of the trait simulated for the 15th QTL-MAS workshop. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 62 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 23% |
| Researcher | 12 | 19% |
| Student > Master | 7 | 11% |
| Professor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 66% |
| Unspecified | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Arts and Humanities | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 14 | 22% |
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 11 June 2012.
All research outputs
#13,666,300
of 22,668,244 outputs
Outputs from BMC Proceedings
#175
of 374 outputs
Outputs of similar age
#92,974
of 163,633 outputs
Outputs of similar age from BMC Proceedings
#8
of 16 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 374 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 163,633 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.