| Title |
Expanding whole exome resequencing into non-human primates
|
|---|---|
| Published in |
Genome Biology, September 2011
|
| DOI | 10.1186/gb-2011-12-9-r87 |
| Pubmed ID | |
| Authors |
Eric J Vallender |
| Abstract |
Complete exome resequencing has the power to greatly expand our understanding of non-human primate genomes. This includes both a better appreciation of the variation that exists in non-human primate model species, but also an improved annotation of their genomes. By developing an understanding of the variation between individuals, non-human primate models of human disease can be better developed. This effort is hindered largely by the lack of comprehensive information on specific non-human primate genetic variation and the costs of generating these data. If the tools that have been developed in humans for complete exome resequencing can be applied to closely related non-human primate species, then these difficulties can be circumvented. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 8% |
| India | 3 | 2% |
| Germany | 1 | <1% |
| Sweden | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| France | 1 | <1% |
| Belgium | 1 | <1% |
| Argentina | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 103 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 39% |
| Student > Ph. D. Student | 30 | 24% |
| Student > Master | 7 | 6% |
| Professor | 6 | 5% |
| Student > Doctoral Student | 6 | 5% |
| Other | 23 | 19% |
| Unknown | 4 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 65% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Medicine and Dentistry | 6 | 5% |
| Environmental Science | 4 | 3% |
| Computer Science | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 8 | 6% |
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 September 2011.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Genome Biology
#4,269
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Outputs of similar age
#114,575
of 137,127 outputs
Outputs of similar age from Genome Biology
#43
of 46 outputs
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