| Title |
Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and structure
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-255 |
| Pubmed ID | |
| Authors |
Tulaya Limpiti, Apichart Intarapanich, Anunchai Assawamakin, Philip J Shaw, Pongsakorn Wangkumhang, Jittima Piriyapongsa, Chumpol Ngamphiw, Sissades Tongsima |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| United States | 1 | 4% |
| France | 1 | 4% |
| Unknown | 22 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 36% |
| Professor | 5 | 20% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Master | 2 | 8% |
| Other | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 72% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Environmental Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 2 | 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 02 November 2011.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#5,787
of 7,793 outputs
Outputs of similar age
#98,079
of 131,501 outputs
Outputs of similar age from BMC Bioinformatics
#80
of 107 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 17th percentile – i.e., 17% 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 131,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.