You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Concordance analysis for QTL detection in dairy cattle: a case study of leg morphology
|
---|---|
Published in |
Genetics Selection Evolution, May 2014
|
DOI | 10.1186/1297-9686-46-31 |
Pubmed ID | |
Authors |
Irene van den Berg, Sébastien Fritz, Sabrina Rodriguez, Dominique Rocha, Mekki Boussaha, Mogens S Lund, Didier Boichard |
Abstract |
The present availability of sequence data gives new opportunities to narrow down from QTL (quantitative trait locus) regions to causative mutations. Our objective was to decrease the number of candidate causative mutations in a QTL region. For this, a concordance analysis was applied for a leg conformation trait in dairy cattle. Several QTL were detected for which the QTL status (homozygous or heterozygous for the QTL) was inferred for each individual. Subsequently, the inferred QTL status was used in a concordance analysis to reduce the number of candidate mutations. |
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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | 5% |
Poland | 1 | 5% |
Unknown | 20 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 41% |
Student > Ph. D. Student | 6 | 27% |
Student > Master | 4 | 18% |
Student > Bachelor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 0 | 0% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 77% |
Biochemistry, Genetics and Molecular Biology | 2 | 9% |
Psychology | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Unknown | 1 | 5% |
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 20 May 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
#177,002
of 240,998 outputs
Outputs of similar age from Genetics Selection Evolution
#8
of 9 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 240,998 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.