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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of a slow-growing line reveals wide genetic variability of carcass and meat quality-related traits
|
|---|---|
| Published in |
BMC Genomic Data, October 2012
|
| DOI | 10.1186/1471-2156-13-90 |
| Pubmed ID | |
| Authors |
Marie Chabault, Elisabeth Baéza, Vérane Gigaud, Pascal Chartrin, Hervé Chapuis, Maryse Boulay, Cécile Arnould, François D’Abbadie, Cécile Berri, Elisabeth Le Bihan-Duval |
| Abstract |
Slow-growing lines are widely used in France for the production of high quality free-range chickens. While such production is mainly dedicated to the whole carcass market, new prospects are opening up for the development of cuts and processed products. Whether the body composition and meat quality of slow-growing birds can be improved by selection has thus become an important issue. The genetic parameters of growth, body composition and breast meat quality traits were evaluated in relation to behaviour at slaughter in a large pedigree population including 1022 male and female slow-growing birds. |
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 States | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 23% |
| Student > Ph. D. Student | 8 | 17% |
| Unspecified | 5 | 11% |
| Student > Doctoral Student | 5 | 11% |
| Lecturer | 2 | 4% |
| Other | 9 | 19% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 38% |
| Veterinary Science and Veterinary Medicine | 5 | 11% |
| Unspecified | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 7 | 15% |
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 23 October 2012.
All research outputs
#20,653,708
of 25,368,786 outputs
Outputs from BMC Genomic Data
#861
of 1,203 outputs
Outputs of similar age
#158,274
of 202,119 outputs
Outputs of similar age from BMC Genomic Data
#11
of 16 outputs
Altmetric has tracked 25,368,786 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 1,203 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 16th percentile – i.e., 16% 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 202,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% 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 is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.