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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison and contrast of genes and biological pathways responding to Marek’s disease virus infection using allele-specific expression and differential expression in broiler and layer chickens
|
|---|---|
| Published in |
BMC Genomics, January 2013
|
| DOI | 10.1186/1471-2164-14-64 |
| Pubmed ID | |
| Authors |
Sudeep Perumbakkam, William M Muir, Alexis Black-Pyrkosz, Ron Okimoto, Hans H Cheng |
| Abstract |
Marek's disease (MD) is a commercially important neoplastic disease of chickens caused by the Marek's disease virus (MDV), a naturally occurring oncogenic alphaherpesvirus. Enhancing MD genetic resistance is desirable to augment current vaccines and other MD control measures. High throughput sequencing was used to profile splenic transcriptomes from individual F1 progeny infected with MDV at 4 days of age from both outbred broilers (meat-type) and inbred layer (egg-type) chicken lines that differed in MD genetic resistance. The resulting information was used to identify SNPs, genes, and biological pathways exhibiting allele-specific expression (ASE) in response to MDV infection in each type of chicken. In addition, we compared and contrasted the results of pathway analyses (ASE and differential expression (DE)) between chicken types to help inform on the biological response to MDV infection. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 31% |
| Student > Ph. D. Student | 9 | 21% |
| Researcher | 6 | 14% |
| Student > Bachelor | 2 | 5% |
| Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 45% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Veterinary Science and Veterinary Medicine | 4 | 10% |
| Computer Science | 2 | 5% |
| Unspecified | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 9 | 21% |
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 30 January 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from BMC Genomics
#9,242
of 10,616 outputs
Outputs of similar age
#249,226
of 282,145 outputs
Outputs of similar age from BMC Genomics
#325
of 367 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 367 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.