↓ Skip to main content

RETRACTED ARTICLE: Revisiting the male genetic landscape of China: a multi-center study of almost 38,000 Y-STR haplotypes

Overview of attention for article published in Human Genetics, January 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
40 Mendeley
Title
RETRACTED ARTICLE: Revisiting the male genetic landscape of China: a multi-center study of almost 38,000 Y-STR haplotypes
Published in
Human Genetics, January 2017
DOI 10.1007/s00439-017-1759-x
Pubmed ID
Authors

Michael Nothnagel, Guangyao Fan, Fei Guo, Yongfeng He, Yiping Hou, Shengping Hu, Jiang Huang, Xianhua Jiang, Wook Kim, Kicheol Kim, Chengtao Li, Hui Li, Liming Li, Shilin Li, Zhao Li, Weibo Liang, Chao Liu, Di Lu, Haibo Luo, Shengjie Nie, Meisen Shi, Hongyu Sun, Jianpin Tang, Lei Wang, Chuan-Chao Wang, Dan Wang, Shao-Qing Wen, Hongyan Wu, Weiwei Wu, Jiaxin Xing, Jiangwei Yan, Shi Yan, Hongbing Yao, Yi Ye, Libing Yun, Zhaoshu Zeng, Lagabaiyila Zha, Suhua Zhang, Xiufen Zheng, Sascha Willuweit, Lutz Roewer

Abstract

China has repeatedly been the subject of genetic studies to elucidate its prehistoric and historic demography. While some studies reported a genetic distinction between Northern and Southern Han Chinese, others showed a more clinal picture of small differences within China. Here, we investigated the distribution of Y chromosome variation along administrative as well as ethnic divisions in the mainland territory of the People's Republic of China, including 28 administrative regions and 19 recognized Chinese nationalities, to assess the impact of recent demographic processes. To this end, we analyzed 37,994 Y chromosomal 17-marker haplotype profiles from the YRHD database with respect to forensic diversity measures and genetic distance between groups defined by administrative boundaries and ethnic origin. We observed high diversity throughout all Chinese provinces and ethnicities. Some ethnicities, including most prominently Kazakhs and Tibetans, showed significant genetic differentiation from the Han and other groups. However, differences between provinces were, except for those located on the Tibetan plateau, less pronounced. This discrepancy is explicable by the sizeable presence of Han speakers, who showed high genetic homogeneity all across China, in nearly all studied provinces. Furthermore, we observed a continuous genetic North-South gradient in the Han, confirming previous reports of a clinal distribution of Y chromosome variation and being in notable concordance with the previously observed spatial distribution of autosomal variation. Our findings shed light on the demographic changes in China accrued by a fast-growing and increasingly mobile population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 25%
Researcher 7 18%
Student > Bachelor 3 8%
Student > Master 3 8%
Professor 3 8%
Other 4 10%
Unknown 10 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 38%
Agricultural and Biological Sciences 6 15%
Medicine and Dentistry 3 8%
Nursing and Health Professions 2 5%
Social Sciences 1 3%
Other 0 0%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 17 December 2021.
All research outputs
#1,380,692
of 22,711,242 outputs
Outputs from Human Genetics
#104
of 2,950 outputs
Outputs of similar age
#32,327
of 418,717 outputs
Outputs of similar age from Human Genetics
#3
of 13 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 96% 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 418,717 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 92% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.