| Title |
Methods to estimate effective population size using pedigree data: Examples in dog, sheep, cattle and horse
|
|---|---|
| Published in |
Genetics Selection Evolution, January 2013
|
| DOI | 10.1186/1297-9686-45-1 |
| Pubmed ID | |
| Authors |
Grégoire Leroy, Tristan Mary-Huard, Etienne Verrier, Sophie Danvy, Eleonore Charvolin, Coralie Danchin-Burge |
X Demographics
The data shown below were collected from the profiles of 5 X users 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 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Norway | 2 | <1% |
| Brazil | 2 | <1% |
| Belgium | 2 | <1% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Colombia | 1 | <1% |
| Peru | 1 | <1% |
| Unknown | 195 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 22% |
| Student > Ph. D. Student | 41 | 20% |
| Student > Master | 37 | 18% |
| Student > Bachelor | 11 | 5% |
| Other | 10 | 5% |
| Other | 33 | 16% |
| Unknown | 30 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 115 | 55% |
| Veterinary Science and Veterinary Medicine | 15 | 7% |
| Biochemistry, Genetics and Molecular Biology | 14 | 7% |
| Environmental Science | 8 | 4% |
| Mathematics | 6 | 3% |
| Other | 7 | 3% |
| Unknown | 44 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 08 April 2024.
All research outputs
#6,362,426
of 25,658,541 outputs
Outputs from Genetics Selection Evolution
#165
of 825 outputs
Outputs of similar age
#61,391
of 290,322 outputs
Outputs of similar age from Genetics Selection Evolution
#2
of 5 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 825 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 79% 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 290,322 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 78% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.