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Genetic variation and forensic characterization of highland Tibetan ethnicity reveled by autosomal STR markers

Overview of attention for article published in International Journal of Legal Medicine, January 2018
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Title
Genetic variation and forensic characterization of highland Tibetan ethnicity reveled by autosomal STR markers
Published in
International Journal of Legal Medicine, January 2018
DOI 10.1007/s00414-017-1765-5
Pubmed ID
Authors

Guanglin He, Zheng Wang, Yongdong Su, Xing Zou, Mengge Wang, Jing Liu, Yiping Hou

Abstract

Understanding the origin and genetic background of Chinese high-altitude Tibetans play a pivotal role in medical genetics, archeology, anthropology, and forensics. In this study, to investigate the forensic characterization and genetic diversity of Chinese Tibetan, allele frequencies and corresponding forensic statistical parameters of 15 autosomal STRs included in the AmpFℓSTR® Sinofiler™ kit were obtained from 1220 Tibetan individuals residing in Lhasa country, Tibet Autonomous Region. We identified 191 alleles with corresponding allele frequencies varied from 0.0004 to 0.3984. The combined probability of discrimination and the combined probability of exclusion are 0.9999999999999999997 and 0.9999996, respectively. Our study provided the valuable dataset for forensic individual identification and parentage testing in the high-altitude Tibetan population. In addition, comprehensive population comparisons among 30 Chinese populations via PCA, AMOVA, MDS, and N-J tree demonstrated that the genetic components of Tibet Tibetan have received gene introgression from surrounding lowland populations (Such as Gansu Hui and Yunnan Bai) and Tibetan keeps the close genetic relationship with geographic neighboring populations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 42%
Student > Ph. D. Student 3 25%
Lecturer 1 8%
Unknown 3 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 17%
Agricultural and Biological Sciences 2 17%
Nursing and Health Professions 1 8%
Social Sciences 1 8%
Medicine and Dentistry 1 8%
Other 0 0%
Unknown 5 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2018.
All research outputs
#15,437,101
of 23,015,156 outputs
Outputs from International Journal of Legal Medicine
#952
of 2,085 outputs
Outputs of similar age
#269,122
of 442,237 outputs
Outputs of similar age from International Journal of Legal Medicine
#25
of 51 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,085 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 53% 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 442,237 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
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 50% of its contemporaries.