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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole-genome CNV analysis: advances in computational approaches
|
|---|---|
| Published in |
Frontiers in Genetics, April 2015
|
| DOI | 10.3389/fgene.2015.00138 |
| Pubmed ID | |
| Authors |
Mehdi Pirooznia, Fernando S. Goes, Peter P. Zandi |
| Abstract |
Accumulating evidence indicates that DNA copy number variation (CNV) is likely to make a significant contribution to human diversity and also play an important role in disease susceptibility. Recent advances in genome sequencing technologies have enabled the characterization of a variety of genomic features, including CNVs. This has led to the development of several bioinformatics approaches to detect CNVs from next-generation sequencing data. Here, we review recent advances in CNV detection from whole genome sequencing. We discuss the informatics approaches and current computational tools that have been developed as well as their strengths and limitations. This review will assist researchers and analysts in choosing the most suitable tools for CNV analysis as well as provide suggestions for new directions in future development. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 33% |
| Switzerland | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 534 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | <1% |
| Norway | 3 | <1% |
| United Kingdom | 2 | <1% |
| Spain | 2 | <1% |
| Brazil | 2 | <1% |
| Italy | 1 | <1% |
| Colombia | 1 | <1% |
| Hong Kong | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 9 | 2% |
| Unknown | 507 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 132 | 25% |
| Researcher | 111 | 21% |
| Student > Master | 78 | 15% |
| Student > Bachelor | 36 | 7% |
| Student > Doctoral Student | 26 | 5% |
| Other | 57 | 11% |
| Unknown | 94 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 165 | 31% |
| Biochemistry, Genetics and Molecular Biology | 155 | 29% |
| Computer Science | 29 | 5% |
| Medicine and Dentistry | 28 | 5% |
| Neuroscience | 14 | 3% |
| Other | 33 | 6% |
| Unknown | 110 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 20 June 2019.
All research outputs
#3,575,292
of 22,799,071 outputs
Outputs from Frontiers in Genetics
#1,054
of 11,761 outputs
Outputs of similar age
#46,393
of 264,583 outputs
Outputs of similar age from Frontiers in Genetics
#22
of 127 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,761 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 264,583 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 82% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.