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Attention Score in Context
| Title |
Design and application of a target capture sequencing of exons and conserved non-coding sequences for the rat
|
|---|---|
| Published in |
BMC Genomics, August 2016
|
| DOI | 10.1186/s12864-016-2975-9 |
| Pubmed ID | |
| Authors |
Minako Yoshihara, Daisuke Saito, Tetsuya Sato, Osamu Ohara, Takashi Kuramoto, Mikita Suyama |
| Abstract |
Target capture sequencing is an efficient approach to directly identify the causative mutations of genetic disorders. To apply this strategy to laboratory rats exhibiting various phenotypes, we developed a novel target capture probe set, TargetEC (target capture for exons and conserved non-coding sequences), which can identify mutations not only in exonic regions but also in conserved non-coding sequences and thus can detect regulatory mutations. TargetEC covers 1,078,129 regions spanning 146.8 Mb of the genome. We applied TargetEC to four inbred rat strains (WTC/Kyo, WTC-swh/Kyo, PVG/Seac, and KFRS4/Kyo) maintained by the National BioResource Project for the Rat in Japan, and successfully identified mutations associated with these phenotypes, including one mutation detected in a conserved non-coding sequence. The method developed in this study can be used to efficiently identify regulatory mutations, which cannot be detected using conventional exome sequencing, and will help to deepen our understanding of the relationships between regulatory mutations and associated phenotypes. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 31% |
| Student > Ph. D. Student | 3 | 23% |
| Student > Master | 3 | 23% |
| Student > Bachelor | 1 | 8% |
| Student > Postgraduate | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 38% |
| Agricultural and Biological Sciences | 5 | 38% |
| Medicine and Dentistry | 2 | 15% |
| Unknown | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 August 2016.
All research outputs
#20,337,210
of 22,882,389 outputs
Outputs from BMC Genomics
#9,293
of 10,668 outputs
Outputs of similar age
#317,036
of 361,768 outputs
Outputs of similar age from BMC Genomics
#240
of 265 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,668 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.