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Attention Score in Context
Title |
Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation
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Published in |
Genetics Selection Evolution, November 2011
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DOI | 10.1186/1297-9686-43-40 |
Pubmed ID | |
Authors |
Mahdi Saatchi, Mathew C McClure, Stephanie D McKay, Megan M Rolf, JaeWoo Kim, Jared E Decker, Tasia M Taxis, Richard H Chapple, Holly R Ramey, Sally L Northcutt, Stewart Bauck, Brent Woodward, Jack CM Dekkers, Rohan L Fernando, Robert D Schnabel, Dorian J Garrick, Jeremy F Taylor |
Abstract |
Genomic selection is a recently developed technology that is beginning to revolutionize animal breeding. The objective of this study was to estimate marker effects to derive prediction equations for direct genomic values for 16 routinely recorded traits of American Angus beef cattle and quantify corresponding accuracies of prediction. |
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 % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 1% |
United States | 2 | 1% |
Germany | 1 | <1% |
Mexico | 1 | <1% |
France | 1 | <1% |
Denmark | 1 | <1% |
Poland | 1 | <1% |
Unknown | 189 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 44 | 22% |
Researcher | 31 | 16% |
Student > Master | 26 | 13% |
Student > Doctoral Student | 16 | 8% |
Student > Postgraduate | 13 | 7% |
Other | 37 | 19% |
Unknown | 31 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 120 | 61% |
Biochemistry, Genetics and Molecular Biology | 12 | 6% |
Veterinary Science and Veterinary Medicine | 6 | 3% |
Computer Science | 4 | 2% |
Social Sciences | 4 | 2% |
Other | 14 | 7% |
Unknown | 38 | 19% |
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 19 January 2016.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Genetics Selection Evolution
#667
of 822 outputs
Outputs of similar age
#204,172
of 246,490 outputs
Outputs of similar age from Genetics Selection Evolution
#4
of 4 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 246,490 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.