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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association and biological pathway analysis for milk-fat composition in Danish Holstein and Danish Jersey cattle
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-1112 |
| Pubmed ID | |
| Authors |
Bart Buitenhuis, Luc LG Janss, Nina A Poulsen, Lotte B Larsen, Mette K Larsen, Peter Sørensen |
| Abstract |
The milk fat profile of the Danish Holstein (DH) and Danish Jersey (DJ) show clear differences. Identification of the genomic regions, genes and biological pathways underlying the milk fat biosynthesis will improve the understanding of the biology underlying bovine milk fat production and may provide new possibilities to change the milk fat composition by selective breeding. In this study a genome wide association scan (GWAS) in the DH and DJ was performed for a detailed milk fatty acid (FA) profile using the HD bovine SNP array and subsequently a biological pathway analysis based on the SNP data was performed. |
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 % |
|---|---|---|
| India | 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Unknown | 88 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 33% |
| Researcher | 16 | 18% |
| Student > Master | 11 | 12% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 17 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 45% |
| Biochemistry, Genetics and Molecular Biology | 11 | 12% |
| Veterinary Science and Veterinary Medicine | 6 | 7% |
| Environmental Science | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 23 | 26% |
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 17 December 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#267,911
of 360,867 outputs
Outputs of similar age from BMC Genomics
#239
of 305 outputs
Altmetric has tracked 25,373,627 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 360,867 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 305 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.