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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meiotic maps of sockeye salmon derived from massively parallel DNA sequencing
|
|---|---|
| Published in |
BMC Genomics, October 2012
|
| DOI | 10.1186/1471-2164-13-521 |
| Pubmed ID | |
| Authors |
Meredith V Everett, Michael R Miller, James E Seeb |
| Abstract |
Meiotic maps are a key tool for comparative genomics and association mapping studies. Next-generation sequencing and genotyping by sequencing are speeding the processes of SNP discovery and the development of new genetic tools, including meiotic maps for numerous species. Currently there are limited genetic resources for sockeye salmon, Oncorhynchus nerka. We develop the first dense meiotic map for sockeye salmon using a combination of novel SNPs found in restriction site associated DNA (RAD tags) and SNPs available from existing expressed sequence tag (EST) based assays. |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 1 | <1% |
| Chile | 1 | <1% |
| Colombia | 1 | <1% |
| Ireland | 1 | <1% |
| France | 1 | <1% |
| Denmark | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 94 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 32% |
| Student > Ph. D. Student | 27 | 26% |
| Student > Master | 10 | 10% |
| Professor > Associate Professor | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 16 | 15% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 80% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Environmental Science | 4 | 4% |
| Arts and Humanities | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 7 | 7% |
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 03 October 2012.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from BMC Genomics
#6,103
of 11,244 outputs
Outputs of similar age
#116,813
of 191,476 outputs
Outputs of similar age from BMC Genomics
#103
of 182 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 191,476 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.