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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linkage maps of the Atlantic salmon (Salmo salar) genome derived from RAD sequencing
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-166 |
| Pubmed ID | |
| Authors |
Serap Gonen, Natalie R Lowe, Timothé Cezard, Karim Gharbi, Stephen C Bishop, Ross D Houston |
| Abstract |
Genetic linkage maps are useful tools for mapping quantitative trait loci (QTL) influencing variation in traits of interest in a population. Genotyping-by-sequencing approaches such as Restriction-site Associated DNA sequencing (RAD-Seq) now enable the rapid discovery and genotyping of genome-wide SNP markers suitable for the development of dense SNP linkage maps, including in non-model organisms such as Atlantic salmon (Salmo salar). This paper describes the development and characterisation of a high density SNP linkage map based on SbfI RAD-Seq SNP markers from two Atlantic salmon reference families. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 50% |
| United States | 2 | 33% |
| Norway | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| France | 2 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Mexico | 1 | <1% |
| Iceland | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 199 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 53 | 25% |
| Student > Ph. D. Student | 48 | 23% |
| Student > Master | 21 | 10% |
| Student > Doctoral Student | 16 | 8% |
| Student > Bachelor | 15 | 7% |
| Other | 35 | 17% |
| Unknown | 23 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 126 | 60% |
| Biochemistry, Genetics and Molecular Biology | 38 | 18% |
| Environmental Science | 6 | 3% |
| Veterinary Science and Veterinary Medicine | 3 | 1% |
| Arts and Humanities | 2 | <1% |
| Other | 5 | 2% |
| Unknown | 31 | 15% |
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 01 December 2021.
All research outputs
#5,496,183
of 25,547,904 outputs
Outputs from BMC Genomics
#2,171
of 11,280 outputs
Outputs of similar age
#50,843
of 236,194 outputs
Outputs of similar age from BMC Genomics
#41
of 228 outputs
Altmetric has tracked 25,547,904 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 11,280 research outputs from this source. They receive a mean Attention Score of 4.8. 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 236,194 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 76% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.