| Title |
Genetics of behavior in the silver fox
|
|---|---|
| Published in |
Mammalian Genome, November 2011
|
| DOI | 10.1007/s00335-011-9373-z |
| Pubmed ID | |
| Authors |
Anna V. Kukekova, Svetlana V. Temnykh, Jennifer L. Johnson, Lyudmila N. Trut, Gregory M. Acland |
| Abstract |
The silver fox provides a rich resource for investigating the genetics of behavior, with strains developed by intensely selective breeding that display markedly different behavioral phenotypes. Until recently, however, the tools for conducting molecular genetic investigations in this species were very limited. In this review, the history of development of this resource and the tools to exploit it are described. Although the focus is on the genetics of domestication in the silver fox, there is a broader context. In particular, one expectation of the silver fox research is that it will be synergistic with studies in other species, including humans, to yield a more comprehensive understanding of the molecular mechanisms and evolution of a wider range of social cognitive behaviors. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Hungary | 1 | <1% |
| United States | 1 | <1% |
| France | 1 | <1% |
| Unknown | 144 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 28 | 19% |
| Student > Ph. D. Student | 26 | 18% |
| Researcher | 25 | 17% |
| Student > Master | 23 | 16% |
| Professor | 11 | 7% |
| Other | 14 | 9% |
| Unknown | 21 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 51% |
| Psychology | 15 | 10% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Veterinary Science and Veterinary Medicine | 6 | 4% |
| Environmental Science | 5 | 3% |
| Other | 9 | 6% |
| Unknown | 25 | 17% |
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 23 August 2018.
All research outputs
#13,386,515
of 22,713,403 outputs
Outputs from Mammalian Genome
#879
of 1,124 outputs
Outputs of similar age
#146,371
of 239,605 outputs
Outputs of similar age from Mammalian Genome
#8
of 16 outputs
Altmetric has tracked 22,713,403 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 1,124 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 21st percentile – i.e., 21% 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 239,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 50% of its contemporaries.