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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association and prediction of direct genomic breeding values for composition of fatty acids in Angus beef cattlea
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-730 |
| Pubmed ID | |
| Authors |
Mahdi Saatchi, Dorian J Garrick, Richard G Tait, Mary S Mayes, Mary Drewnoski, Jon Schoonmaker, Clara Diaz, Don C Beitz, James M Reecy |
| Abstract |
As consumers continue to request food products that have health advantages, it will be important for the livestock industry to supply a product that meet these demands. One such nutrient is fatty acids, which have been implicated as playing a role in cardiovascular disease. Therefore, the objective of this study was to determine the extent to which molecular markers could account for variation in fatty acid composition of skeletal muscle and identify genomic regions that harbor genetic variation. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Canada | 1 | 1% |
| Unknown | 89 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 21% |
| Student > Master | 17 | 18% |
| Researcher | 13 | 14% |
| Student > Doctoral Student | 7 | 8% |
| Professor | 6 | 7% |
| Other | 13 | 14% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 52% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Medicine and Dentistry | 5 | 5% |
| Veterinary Science and Veterinary Medicine | 4 | 4% |
| Computer Science | 4 | 4% |
| Other | 2 | 2% |
| Unknown | 22 | 24% |
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 28 October 2013.
All research outputs
#13,899,800
of 22,727,570 outputs
Outputs from BMC Genomics
#5,329
of 10,628 outputs
Outputs of similar age
#116,285
of 211,948 outputs
Outputs of similar age from BMC Genomics
#50
of 158 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 211,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 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 65% of its contemporaries.