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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of copy number variations in the sheep genome using 50K SNP BeadChip array
|
|---|---|
| Published in |
BMC Genomics, April 2013
|
| DOI | 10.1186/1471-2164-14-229 |
| Pubmed ID | |
| Authors |
Jiasen Liu, Li Zhang, Lingyang Xu, Hangxing Ren, Jian Lu, Xiaoning Zhang, Shifang Zhang, Xinlei Zhou, Caihong Wei, Fuping Zhao, Lixin Du |
| Abstract |
In recent years, genome-wide association studies have successfully uncovered single-nucleotide polymorphisms (SNPs) associated with complex traits such as diseases and quantitative phenotypes. These variations account for a small proportion of heritability. With the development of high throughput techniques, abundant submicroscopic structural variations have been found in organisms, of which the main variations are copy number variations (CNVs). Therefore, CNVs are increasingly recognized as an important and abundant source of genetic variation and phenotypic diversity. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Finland | 1 | 1% |
| Unknown | 81 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 26% |
| Researcher | 17 | 20% |
| Student > Master | 9 | 11% |
| Student > Postgraduate | 5 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 20 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 54% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Veterinary Science and Veterinary Medicine | 4 | 5% |
| Medicine and Dentistry | 2 | 2% |
| Philosophy | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 21 | 25% |
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 08 April 2013.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Genomics
#9,455
of 10,793 outputs
Outputs of similar age
#176,513
of 201,527 outputs
Outputs of similar age from BMC Genomics
#108
of 119 outputs
Altmetric has tracked 23,881,329 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 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 201,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 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.