| Title |
A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array
|
|---|---|
| Published in |
BMC Genomics, September 2014
|
| DOI | 10.1186/1471-2164-15-823 |
| Pubmed ID | |
| Authors |
Sandra Unterseer, Eva Bauer, Georg Haberer, Michael Seidel, Carsten Knaak, Milena Ouzunova, Thomas Meitinger, Tim M Strom, Ruedi Fries, Hubert Pausch, Christofer Bertani, Alessandro Davassi, Klaus FX Mayer, Chris-Carolin Schön |
| Abstract |
High density genotyping data are indispensable for genomic analyses of complex traits in animal and crop species. Maize is one of the most important crop plants worldwide, however a high density SNP genotyping array for analysis of its large and highly dynamic genome was not available so far. |
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 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 5 | 3% |
| Germany | 2 | 1% |
| United States | 2 | 1% |
| Unknown | 184 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 28% |
| Researcher | 37 | 19% |
| Student > Master | 23 | 12% |
| Student > Doctoral Student | 19 | 10% |
| Professor > Associate Professor | 9 | 5% |
| Other | 22 | 11% |
| Unknown | 28 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 136 | 70% |
| Biochemistry, Genetics and Molecular Biology | 18 | 9% |
| Veterinary Science and Veterinary Medicine | 1 | <1% |
| Environmental Science | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 35 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 April 2022.
All research outputs
#4,804,243
of 23,577,654 outputs
Outputs from BMC Genomics
#1,978
of 10,787 outputs
Outputs of similar age
#52,235
of 254,252 outputs
Outputs of similar age from BMC Genomics
#34
of 201 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 254,252 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 79% of its contemporaries.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.