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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs
|
|---|---|
| Published in |
Genetics Selection Evolution, October 2014
|
| DOI | 10.1186/s12711-014-0068-2 |
| Pubmed ID | |
| Authors |
Sophie Rothammer, Prisca V Kremer, Maren Bernau, Ignacio Fernandez-Figares, Jennifer Pfister-Schär, Ivica Medugorac, Armin M Scholz |
| Abstract |
Since the pig is one of the most important livestock animals worldwide, mapping loci that are associated with economically important traits and/or traits that influence animal welfare is extremely relevant for efficient future pig breeding. Therefore, the purpose of this study was a genome-wide mapping of quantitative trait loci (QTL) associated with nine body composition and bone mineral traits: absolute (Fat, Lean) and percentage (FatPC, LeanPC) fat and lean mass, live weight (Weight), soft tissue X-ray attenuation coefficient (R), absolute (BMC) and percentage (BMCPC) bone mineral content and bone mineral density (BMD). |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uruguay | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 29% |
| Researcher | 7 | 20% |
| Student > Master | 3 | 9% |
| Professor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 51% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Veterinary Science and Veterinary Medicine | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Energy | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 6 | 17% |
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 29 October 2014.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Genetics Selection Evolution
#667
of 822 outputs
Outputs of similar age
#200,668
of 274,082 outputs
Outputs of similar age from Genetics Selection Evolution
#8
of 17 outputs
Altmetric has tracked 25,374,647 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 274,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.