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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Representing genetic variation with synthetic DNA standards
|
|---|---|
| Published in |
Nature Methods, August 2016
|
| DOI | 10.1038/nmeth.3957 |
| Pubmed ID | |
| Authors |
Ira W Deveson, Wendy Y Chen, Ted Wong, Simon A Hardwick, Stacey B Andersen, Lars K Nielsen, John S Mattick, Tim R Mercer |
| Abstract |
The identification of genetic variation with next-generation sequencing is confounded by the complexity of the human genome sequence and by biases that arise during library preparation, sequencing and analysis. We have developed a set of synthetic DNA standards, termed 'sequins', that emulate human genetic features and constitute qualitative and quantitative spike-in controls for genome sequencing. Sequencing reads derived from sequins align exclusively to an artificial in silico reference chromosome, rather than the human reference genome, which allows them them to be partitioned for parallel analysis. Here we use this approach to represent common and clinically relevant genetic variation, ranging from single nucleotide variants to large structural rearrangements and copy-number variation. We validate the design and performance of sequin standards by comparison to examples in the NA12878 reference genome, and we demonstrate their utility during the detection and quantification of variants. We provide sequins as a standardized, quantitative resource against which human genetic variation can be measured and diagnostic performance assessed. |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 37% |
| Australia | 4 | 11% |
| United Kingdom | 3 | 9% |
| Japan | 2 | 6% |
| Germany | 2 | 6% |
| Belgium | 1 | 3% |
| Austria | 1 | 3% |
| France | 1 | 3% |
| Mexico | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 49% |
| Scientists | 16 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Brazil | 2 | 1% |
| United Kingdom | 1 | <1% |
| Ireland | 1 | <1% |
| Taiwan | 1 | <1% |
| New Zealand | 1 | <1% |
| China | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 134 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 37% |
| Student > Ph. D. Student | 24 | 16% |
| Student > Master | 18 | 12% |
| Student > Bachelor | 9 | 6% |
| Other | 8 | 5% |
| Other | 19 | 13% |
| Unknown | 15 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 37% |
| Biochemistry, Genetics and Molecular Biology | 49 | 33% |
| Computer Science | 9 | 6% |
| Medicine and Dentistry | 8 | 5% |
| Environmental Science | 3 | 2% |
| Other | 5 | 3% |
| Unknown | 18 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 100. 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 04 July 2023.
All research outputs
#408,531
of 24,846,849 outputs
Outputs from Nature Methods
#485
of 5,261 outputs
Outputs of similar age
#8,434
of 372,944 outputs
Outputs of similar age from Nature Methods
#11
of 81 outputs
Altmetric has tracked 24,846,849 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. This one has done particularly well, scoring higher than 90% 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 372,944 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.