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Mendeley readers
Attention Score in Context
| Title |
Identification of Close Relatives in the HUGO Pan-Asian SNP Database
|
|---|---|
| Published in |
PLOS ONE, December 2011
|
| DOI | 10.1371/journal.pone.0029502 |
| Pubmed ID | |
| Authors |
Xiong Yang, Shuhua Xu |
| Abstract |
The HUGO Pan-Asian SNP Consortium has recently released a genome-wide dataset, which consists of 1,719 DNA samples collected from 71 Asian populations. For studies of human population genetics such as genetic structure and migration history, this provided the most comprehensive large-scale survey of genetic variation to date in East and Southeast Asia. However, although considered in the analysis, close relatives were not clearly reported in the original paper. Here we performed a systematic analysis of genetic relationships among individuals from the Pan-Asian SNP (PASNP) database and identified 3 pairs of monozygotic twins or duplicate samples, 100 pairs of first-degree and 161 second-degree of relationships. Three standardized subsets with different levels of unrelated individuals were suggested here for future applications of the samples in most types of population-genetics studies (denoted by PASNP1716, PASNP1640 and PASNP1583 respectively) based on the relationships inferred in this study. In addition, we provided gender information for PASNP samples, which were not included in the original dataset, based on analysis of X chromosome data. |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 4% |
| Portugal | 1 | 2% |
| Unknown | 46 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 9 | 18% |
| Student > Master | 6 | 12% |
| Professor | 4 | 8% |
| Other | 3 | 6% |
| Other | 10 | 20% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 41% |
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Medicine and Dentistry | 3 | 6% |
| Business, Management and Accounting | 1 | 2% |
| Philosophy | 1 | 2% |
| Other | 8 | 16% |
| Unknown | 6 | 12% |
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 02 September 2018.
All research outputs
#3,677,509
of 22,661,413 outputs
Outputs from PLOS ONE
#45,504
of 193,502 outputs
Outputs of similar age
#31,090
of 243,631 outputs
Outputs of similar age from PLOS ONE
#508
of 2,948 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 76% 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 243,631 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 2,948 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.