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Mendeley readers
Attention Score in Context
| Title |
Genome-wide association and genomic prediction for host response to porcine reproductive and respiratory syndrome virus infection
|
|---|---|
| Published in |
Genetics Selection Evolution, March 2014
|
| DOI | 10.1186/1297-9686-46-18 |
| Pubmed ID | |
| Authors |
Nicholas J Boddicker, Angelica Bjorkquist, Raymond RR Rowland, Joan K Lunney, James M Reecy, Jack CM Dekkers |
| Abstract |
Host genetics has been shown to play a role in porcine reproductive and respiratory syndrome (PRRS), which is the most economically important disease in the swine industry. A region on Sus scrofa chromosome (SSC) 4 has been previously reported to have a strong association with serum viremia and weight gain in pigs experimentally infected with the PRRS virus (PRRSV). The objective here was to identify haplotypes associated with the favorable phenotype, investigate additional genomic regions associated with host response to PRRSV, and to determine the predictive ability of genomic estimated breeding values (GEBV) based on the SSC4 region and based on the rest of the genome. Phenotypic data and 60 K SNP genotypes from eight trials of ~200 pigs from different commercial crosses were used to address these objectives. |
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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Unknown | 76 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 22% |
| Researcher | 17 | 22% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 5 | 6% |
| Other | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 42% |
| Veterinary Science and Veterinary Medicine | 8 | 10% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Medicine and Dentistry | 4 | 5% |
| Unspecified | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 21 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 May 2024.
All research outputs
#5,399,403
of 25,947,988 outputs
Outputs from Genetics Selection Evolution
#131
of 830 outputs
Outputs of similar age
#49,084
of 236,959 outputs
Outputs of similar age from Genetics Selection Evolution
#2
of 16 outputs
Altmetric has tracked 25,947,988 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 830 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 83% 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 236,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.