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Mendeley readers
Attention Score in Context
Title |
Variant discovery in targeted resequencing using whole genome amplified DNA
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Published in |
BMC Genomics, July 2013
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DOI | 10.1186/1471-2164-14-468 |
Pubmed ID | |
Authors |
Amit R Indap, Regina Cole, Christina L Runge, Gabor T Marth, Michael Olivier |
Abstract |
Next generation sequencing and advances in genomic enrichment technologies have enabled the discovery of the full spectrum of variants from common to rare alleles in the human population. The application of such technologies can be limited by the amount of DNA available. Whole genome amplification (WGA) can overcome such limitations. Here we investigate applicability of using WGA by comparing SNP and INDEL variant calls from a single genomic/WGA sample pair from two capture separate experiments: a 50 Mbp whole exome capture and a custom capture array of 4 Mbp region on chr12. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
United Kingdom | 2 | 15% |
Poland | 1 | 8% |
Spain | 1 | 8% |
Montenegro | 1 | 8% |
Unknown | 3 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 54% |
Members of the public | 4 | 31% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 5% |
Germany | 1 | 2% |
Brazil | 1 | 2% |
Australia | 1 | 2% |
Taiwan | 1 | 2% |
United Kingdom | 1 | 2% |
Unknown | 34 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 39% |
Student > Ph. D. Student | 10 | 24% |
Other | 5 | 12% |
Student > Doctoral Student | 2 | 5% |
Student > Master | 2 | 5% |
Other | 2 | 5% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 56% |
Biochemistry, Genetics and Molecular Biology | 5 | 12% |
Medicine and Dentistry | 3 | 7% |
Immunology and Microbiology | 2 | 5% |
Neuroscience | 1 | 2% |
Other | 1 | 2% |
Unknown | 6 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 03 August 2013.
All research outputs
#4,705,809
of 25,371,288 outputs
Outputs from BMC Genomics
#1,795
of 11,244 outputs
Outputs of similar age
#37,924
of 206,378 outputs
Outputs of similar age from BMC Genomics
#39
of 186 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 83% 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 206,378 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 81% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.