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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effect of sample stratification on dairy GWAS results
|
|---|---|
| Published in |
BMC Genomics, October 2012
|
| DOI | 10.1186/1471-2164-13-536 |
| Pubmed ID | |
| Authors |
Li Ma, George R Wiggans, Shengwen Wang, Tad S Sonstegard, Jing Yang, Brian A Crooker, John B Cole, Curtis P Van Tassell, Thomas J Lawlor, Yang Da |
| Abstract |
Artificial insemination and genetic selection are major factors contributing to population stratification in dairy cattle. In this study, we analyzed the effect of sample stratification and the effect of stratification correction on results of a dairy genome-wide association study (GWAS). Three methods for stratification correction were used: the efficient mixed-model association expedited (EMMAX) method accounting for correlation among all individuals, a generalized least squares (GLS) method based on half-sib intraclass correlation, and a principal component analysis (PCA) approach. |
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 % |
|---|---|---|
| Brazil | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Colombia | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 56 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 25% |
| Student > Ph. D. Student | 10 | 17% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 58% |
| Veterinary Science and Veterinary Medicine | 4 | 7% |
| Computer Science | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 20% |
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 21 November 2012.
All research outputs
#13,369,262
of 22,681,577 outputs
Outputs from BMC Genomics
#4,973
of 10,613 outputs
Outputs of similar age
#93,365
of 172,672 outputs
Outputs of similar age from BMC Genomics
#62
of 131 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 172,672 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 131 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 50% of its contemporaries.