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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurate variant detection across non-amplified and whole genome amplified DNA using targeted next generation sequencing
|
|---|---|
| Published in |
BMC Genomics, September 2012
|
| DOI | 10.1186/1471-2164-13-500 |
| Pubmed ID | |
| Authors |
Abdou ElSharawy, Jason Warner, Jeff Olson, Michael Forster, Markus B Schilhabel, Darren R Link, Stefan Rose-John, Stefan Schreiber, Philip Rosenstiel, James Brayer, Andre Franke |
| Abstract |
Many hypothesis-driven genetic studies require the ability to comprehensively and efficiently target specific regions of the genome to detect sequence variations. Often, sample availability is limited requiring the use of whole genome amplification (WGA). We evaluated a high-throughput microdroplet-based PCR approach in combination with next generation sequencing (NGS) to target 384 discrete exons from 373 genes involved in cancer. In our evaluation, we compared the performance of six non-amplified gDNA samples from two HapMap family trios. Three of these samples were also preamplified by WGA and evaluated. We tested sample pooling or multiplexing strategies at different stages of the tested targeted NGS (T-NGS) workflow. |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 8% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 70 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 35% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 5 | 6% |
| Other | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 47% |
| Biochemistry, Genetics and Molecular Biology | 17 | 22% |
| Medicine and Dentistry | 2 | 3% |
| Engineering | 2 | 3% |
| Chemistry | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 12 | 15% |
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 06 October 2021.
All research outputs
#4,487,238
of 22,679,690 outputs
Outputs from BMC Genomics
#1,872
of 10,615 outputs
Outputs of similar age
#32,241
of 170,448 outputs
Outputs of similar age from BMC Genomics
#24
of 117 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 170,448 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 80% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.