| Title |
A single nucleotide polymorphism panel for individual identification and ancestry assignment in Caucasians and four East and Southeast Asian populations using a machine learning classifier
|
|---|---|
| Published in |
Forensic Science, Medicine and Pathology, January 2019
|
| DOI | 10.1007/s12024-018-0071-y |
| Pubmed ID | |
| Authors |
Hsiao-Lin Hwa, Ming-Yih Wu, Chih-Peng Lin, Wei Hsin Hsieh, Hsiang-I Yin, Tsui-Ting Lee, James Chun-I Lee |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 24% |
| Student > Bachelor | 4 | 16% |
| Student > Master | 4 | 16% |
| Lecturer | 2 | 8% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 36% |
| Agricultural and Biological Sciences | 3 | 12% |
| Computer Science | 3 | 12% |
| Medicine and Dentistry | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 09 June 2023.
All research outputs
#6,652,837
of 24,217,893 outputs
Outputs from Forensic Science, Medicine and Pathology
#158
of 1,014 outputs
Outputs of similar age
#133,761
of 445,504 outputs
Outputs of similar age from Forensic Science, Medicine and Pathology
#9
of 36 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 84% 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 445,504 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 69% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.