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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure
|
|---|---|
| Published in |
BMC Genomics, October 2017
|
| DOI | 10.1186/s12864-017-4166-8 |
| Pubmed ID | |
| Authors |
Jinyoung Byun, Younghun Han, Ivan P. Gorlov, Jonathan A. Busam, Michael F. Seldin, Christopher I. Amos |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 19% |
| Researcher | 15 | 15% |
| Student > Ph. D. Student | 14 | 14% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Other | 16 | 16% |
| Unknown | 20 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 26% |
| Agricultural and Biological Sciences | 13 | 13% |
| Engineering | 12 | 12% |
| Computer Science | 6 | 6% |
| Medicine and Dentistry | 4 | 4% |
| Other | 14 | 14% |
| Unknown | 25 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 February 2024.
All research outputs
#6,347,898
of 25,713,737 outputs
Outputs from BMC Genomics
#2,334
of 11,306 outputs
Outputs of similar age
#92,482
of 336,310 outputs
Outputs of similar age from BMC Genomics
#40
of 195 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,306 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 336,310 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.