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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Population Genetic Structure of Peninsular Malaysia Malay Sub-Ethnic Groups
|
|---|---|
| Published in |
PLOS ONE, April 2011
|
| DOI | 10.1371/journal.pone.0018312 |
| Pubmed ID | |
| Authors |
Wan Isa Hatin, Ab Rajab Nur-Shafawati, Mohd-Khairi Zahri, Shuhua Xu, Li Jin, Soon-Guan Tan, Mohammed Rizman-Idid, Bin Alwi Zilfalil |
| Abstract |
Patterns of modern human population structure are helpful in understanding the history of human migration and admixture. We conducted a study on genetic structure of the Malay population in Malaysia, using 54,794 genome-wide single nucleotide polymorphism genotype data generated in four Malay sub-ethnic groups in peninsular Malaysia (Melayu Kelantan, Melayu Minang, Melayu Jawa and Melayu Bugis). To the best of our knowledge this is the first study conducted on these four Malay sub-ethnic groups and the analysis of genotype data of these four groups were compiled together with 11 other populations' genotype data from Indonesia, China, India, Africa and indigenous populations in Peninsular Malaysia obtained from the Pan-Asian SNP database. The phylogeny of populations showed that all of the four Malay sub-ethnic groups are separated into at least three different clusters. The Melayu Jawa, Melayu Bugis and Melayu Minang have a very close genetic relationship with Indonesian populations indicating a common ancestral history, while the Melayu Kelantan formed a distinct group on the tree indicating that they are genetically different from the other Malay sub-ethnic groups. We have detected genetic structuring among the Malay populations and this could possibly be accounted for by their different historical origins. Our results provide information of the genetic differentiation between these populations and a valuable insight into the origins of the Malay sub-ethnic groups in Peninsular Malaysia. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 6 | 25% |
| Austria | 1 | 4% |
| United States | 1 | 4% |
| Indonesia | 1 | 4% |
| Unknown | 15 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 88% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Scientists | 1 | 4% |
| Unknown | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 8 | 4% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Norway | 1 | <1% |
| United Kingdom | 1 | <1% |
| Singapore | 1 | <1% |
| Denmark | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 187 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 17% |
| Researcher | 29 | 14% |
| Student > Master | 28 | 14% |
| Student > Bachelor | 18 | 9% |
| Student > Postgraduate | 15 | 7% |
| Other | 43 | 21% |
| Unknown | 36 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 23% |
| Medicine and Dentistry | 23 | 11% |
| Biochemistry, Genetics and Molecular Biology | 21 | 10% |
| Social Sciences | 17 | 8% |
| Arts and Humanities | 8 | 4% |
| Other | 42 | 21% |
| Unknown | 46 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 14 April 2024.
All research outputs
#1,540,268
of 26,375,498 outputs
Outputs from PLOS ONE
#18,826
of 229,219 outputs
Outputs of similar age
#5,921
of 123,463 outputs
Outputs of similar age from PLOS ONE
#128
of 1,488 outputs
Altmetric has tracked 26,375,498 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 229,219 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done particularly well, scoring higher than 91% 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 123,463 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 1,488 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.