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Type 2 diabetes mellitus: distribution of genetic markers in Kazakh population

Overview of attention for article published in Clinical Interventions in Aging, March 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Citations

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31 Mendeley
Title
Type 2 diabetes mellitus: distribution of genetic markers in Kazakh population
Published in
Clinical Interventions in Aging, March 2018
DOI 10.2147/cia.s156044
Pubmed ID
Authors

Nurgul Sikhayeva, Yerkebulan Talzhanov, Aisha Iskakova, Jarkyn Dzharmukhanov, Raushan Nugmanova, Elena Zholdybaeva, Erlan Ramanculov

Abstract

Ethnic differences exist in the frequencies of genetic variations that contribute to the risk of common disease. This study aimed to analyse the distribution of several genes, previously associated with susceptibility to type 2 diabetes and obesity-related phenotypes, in a Kazakh population. A total of 966 individuals belonging to the Kazakh ethnicity were recruited from an outpatient clinic. We genotyped 41 common single nucleotide polymorphisms (SNPs) previously associated with type 2 diabetes in other ethnic groups and 31 of these were in Hardy-Weinberg equilibrium. The obtained allele frequencies were further compared to publicly available data from other ethnic populations. Allele frequencies for other (compared) populations were pooled from the haplotype map (HapMap) database. Principal component analysis (PCA), cluster analysis, and multidimensional scaling (MDS) were used for the analysis of genetic relationship between the populations. Comparative analysis of allele frequencies of the studied SNPs showed significant differentiation among the studied populations. The Kazakh population was grouped with Asian populations according to the cluster analysis and with the Caucasian populations according to PCA. According to MDS, results of the current study show that the Kazakh population holds an intermediate position between Caucasian and Asian populations. A high percentage of population differentiation was observed between Kazakh and world populations. The Kazakh population was clustered with Caucasian populations, and this result may indicate a significant Caucasian component in the Kazakh gene pool.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 4 13%
Other 3 10%
Student > Master 3 10%
Student > Doctoral Student 1 3%
Other 3 10%
Unknown 11 35%
Readers by discipline Count As %
Medicine and Dentistry 8 26%
Biochemistry, Genetics and Molecular Biology 4 13%
Nursing and Health Professions 3 10%
Agricultural and Biological Sciences 2 6%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 12 39%
Attention Score in Context

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 05 March 2018.
All research outputs
#6,932,988
of 25,382,440 outputs
Outputs from Clinical Interventions in Aging
#640
of 1,968 outputs
Outputs of similar age
#113,421
of 344,853 outputs
Outputs of similar age from Clinical Interventions in Aging
#16
of 51 outputs
Altmetric has tracked 25,382,440 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 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 67% 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 344,853 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 66% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.