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X Demographics
Mendeley readers
Attention Score in Context
| Title |
De novo sequencing of sunflower genome for SNP discovery using RAD (Restriction site Associated DNA) approach
|
|---|---|
| Published in |
BMC Genomics, August 2013
|
| DOI | 10.1186/1471-2164-14-556 |
| Pubmed ID | |
| Authors |
Venkatramana Pegadaraju, Rick Nipper, Brent Hulke, Lili Qi, Quentin Schultz |
| Abstract |
Application of Single Nucleotide Polymorphism (SNP) marker technology as a tool in sunflower breeding programs offers enormous potential to improve sunflower genetics, and facilitate faster release of sunflower hybrids to the market place. Through a National Sunflower Association (NSA) funded initiative, we report on the process of SNP discovery through reductive genome sequencing and local assembly of six diverse sunflower inbred lines that represent oil as well as confection types. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 4 | 2% |
| United States | 2 | 1% |
| Ireland | 1 | <1% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Argentina | 1 | <1% |
| Sweden | 1 | <1% |
| Spain | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 174 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 29% |
| Researcher | 39 | 21% |
| Student > Master | 24 | 13% |
| Student > Bachelor | 14 | 7% |
| Student > Postgraduate | 10 | 5% |
| Other | 24 | 13% |
| Unknown | 22 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 117 | 63% |
| Biochemistry, Genetics and Molecular Biology | 22 | 12% |
| Environmental Science | 8 | 4% |
| Engineering | 6 | 3% |
| Computer Science | 2 | 1% |
| Other | 6 | 3% |
| Unknown | 26 | 14% |
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 26 August 2013.
All research outputs
#20,103,978
of 25,576,275 outputs
Outputs from BMC Genomics
#8,169
of 11,286 outputs
Outputs of similar age
#151,636
of 208,071 outputs
Outputs of similar age from BMC Genomics
#127
of 191 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,286 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% 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 208,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.