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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
|
|---|---|
| Published in |
BMC Genomics, July 2015
|
| DOI | 10.1186/s12864-015-1700-4 |
| Pubmed ID | |
| Authors |
Alexandre Kuhn, Yao Min Ong, Stephen R. Quake, William F. Burkholder |
| Abstract |
Like other structural variants, transposable element insertions can be highly polymorphic across individuals. Their functional impact, however, remains poorly understood. Current genome-wide approaches for genotyping insertion-site polymorphisms based on targeted or whole-genome sequencing remain very expensive and can lack accuracy, hence new large-scale genotyping methods are needed. We describe a high-throughput method for genotyping transposable element insertions and other types of structural variants that can be assayed by breakpoint PCR. The method relies on next-generation sequencing of multiplex, site-specific PCR amplification products and read count-based genotype calls. We show that this method is flexible, efficient (it does not require rounds of optimization), cost-effective and highly accurate. This method can benefit a wide range of applications from the routine genotyping of animal and plant populations to the functional study of structural variants in humans. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 3% |
| Germany | 1 | 3% |
| France | 1 | 3% |
| Brazil | 1 | 3% |
| South Africa | 1 | 3% |
| Japan | 1 | 3% |
| Unknown | 33 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 26% |
| Student > Ph. D. Student | 9 | 23% |
| Professor | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 38% |
| Biochemistry, Genetics and Molecular Biology | 9 | 23% |
| Engineering | 4 | 10% |
| Computer Science | 3 | 8% |
| Chemistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 15% |
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 28 July 2015.
All research outputs
#14,231,577
of 22,816,807 outputs
Outputs from BMC Genomics
#5,701
of 10,653 outputs
Outputs of similar age
#135,020
of 262,361 outputs
Outputs of similar age from BMC Genomics
#164
of 260 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,653 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 262,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.