| Title |
SNVHMM: predicting single nucleotide variants from next generation sequencing
|
|---|---|
| Published in |
BMC Bioinformatics, July 2013
|
| DOI | 10.1186/1471-2105-14-225 |
| Pubmed ID | |
| Authors |
Jiawen Bian, Chenglin Liu, Hongyan Wang, Jing Xing, Priyanka Kachroo, Xiaobo Zhou |
| Abstract |
The rapid development of next generation sequencing (NGS) technology provides a novel avenue for genomic exploration and research. Single nucleotide variants (SNVs) inferred from next generation sequencing are expected to reveal gene mutations in cancer. However, NGS has lower sequence coverage and poor SNVs detection capability in the regulatory regions of the genome. Post probabilistic based methods are efficient for detection of SNVs in high coverage regions or sequencing data with high depth. However, for data with low sequencing depth, the efficiency of such algorithms remains poor and needs to be improved. |
X Demographics
The data shown below were collected from the profiles of 21 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 | 4 | 19% |
| United Kingdom | 4 | 19% |
| Spain | 2 | 10% |
| Montenegro | 1 | 5% |
| China | 1 | 5% |
| Poland | 1 | 5% |
| Sweden | 1 | 5% |
| Chile | 1 | 5% |
| France | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 48% |
| Scientists | 9 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Germany | 2 | 3% |
| Sweden | 2 | 3% |
| France | 1 | 1% |
| Belgium | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 59 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 38% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 10 | 14% |
| Professor > Associate Professor | 4 | 6% |
| Other | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 46% |
| Computer Science | 15 | 22% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Mathematics | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 4 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 12 August 2013.
All research outputs
#3,061,152
of 25,400,630 outputs
Outputs from BMC Bioinformatics
#923
of 7,699 outputs
Outputs of similar age
#25,093
of 206,803 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 93 outputs
Altmetric has tracked 25,400,630 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,699 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 88% 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 206,803 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 87% of its contemporaries.
We're also able to compare this research output to 93 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.