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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of a high density SNP genotyping array for Atlantic salmon (Salmo salar)
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-90 |
| Pubmed ID | |
| Authors |
Ross D Houston, John B Taggart, Timothé Cézard, Michaël Bekaert, Natalie R Lowe, Alison Downing, Richard Talbot, Stephen C Bishop, Alan L Archibald, James E Bron, David J Penman, Alessandro Davassi, Fiona Brew, Alan E Tinch, Karim Gharbi, Alastair Hamilton |
| Abstract |
Dense single nucleotide polymorphism (SNP) genotyping arrays provide extensive information on polymorphic variation across the genome of species of interest. Such information can be used in studies of the genetic architecture of quantitative traits and to improve the accuracy of selection in breeding programs. In Atlantic salmon (Salmo salar), these goals are currently hampered by the lack of a high-density SNP genotyping platform. Therefore, the aim of the study was to develop and test a dense Atlantic salmon SNP array. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| France | 1 | 10% |
| Ireland | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 299 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 68 | 22% |
| Student > Ph. D. Student | 62 | 20% |
| Student > Master | 35 | 12% |
| Student > Bachelor | 18 | 6% |
| Professor | 13 | 4% |
| Other | 58 | 19% |
| Unknown | 49 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 168 | 55% |
| Biochemistry, Genetics and Molecular Biology | 39 | 13% |
| Environmental Science | 7 | 2% |
| Veterinary Science and Veterinary Medicine | 6 | 2% |
| Earth and Planetary Sciences | 3 | <1% |
| Other | 17 | 6% |
| Unknown | 63 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 26 April 2018.
All research outputs
#1,331,403
of 25,547,904 outputs
Outputs from BMC Genomics
#223
of 11,280 outputs
Outputs of similar age
#14,674
of 323,244 outputs
Outputs of similar age from BMC Genomics
#5
of 203 outputs
Altmetric has tracked 25,547,904 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,280 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 323,244 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.