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Attention Score in Context
Title |
Sub-genomic selection patterns as a signature of breeding in the allopolyploid Brassica napus genome
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Published in |
BMC Genomics, December 2014
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DOI | 10.1186/1471-2164-15-1170 |
Pubmed ID | |
Authors |
Lunwen Qian, Wei Qian, Rod J Snowdon |
Abstract |
High-density single-nucleotide polymorphism (SNP) genotyping arrays are a powerful tool for genome-wide association studies and can give valuable insight into patterns of population structure and linkage disequilibrium (LD). In this study we used the Brassica 60kSNP Illumina consortium genotyping array to assess the influence of selection and breeding for important agronomic traits on LD and haplotype structure in a diverse panel of 203 Chinese semi-winter rapeseed (Brassica napus) breeding lines. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 83 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 27% |
Researcher | 15 | 18% |
Student > Master | 11 | 13% |
Student > Bachelor | 6 | 7% |
Student > Doctoral Student | 4 | 5% |
Other | 12 | 14% |
Unknown | 14 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 55 | 65% |
Biochemistry, Genetics and Molecular Biology | 13 | 15% |
Nursing and Health Professions | 1 | 1% |
Unspecified | 1 | 1% |
Computer Science | 1 | 1% |
Other | 1 | 1% |
Unknown | 13 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2014.
All research outputs
#20,247,117
of 22,775,504 outputs
Outputs from BMC Genomics
#9,268
of 10,642 outputs
Outputs of similar age
#295,563
of 352,836 outputs
Outputs of similar age from BMC Genomics
#228
of 253 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.