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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of ancient human mitochondrial DNA from the Xiaohe cemetery: insights into prehistoric population movements in the Tarim Basin, China
|
|---|---|
| Published in |
BMC Genomic Data, July 2015
|
| DOI | 10.1186/s12863-015-0237-5 |
| Pubmed ID | |
| Authors |
Chunxiang Li, Chao Ning, Erika Hagelberg, Hongjie Li, Yongbin Zhao, Wenying Li, Idelisi Abuduresule, Hong Zhu, Hui Zhou |
| Abstract |
The Tarim Basin in western China, known for its amazingly well-preserved mummies, has been for thousands of years an important crossroad between the eastern and western parts of Eurasia. Despite its key position in communications and migration, and highly diverse peoples, languages and cultures, its prehistory is poorly understood. To shed light on the origin of the populations of the Tarim Basin, we analysed mitochondrial DNA polymorphisms in human skeletal remains excavated from the Xiaohe cemetery, used by the local community between 4000 and 3500 years before present, and possibly representing some of the earliest settlers. Xiaohe people carried a wide variety of maternal lineages, including West Eurasian lineages H, K, U5, U7, U2e, T, R*, East Eurasian lineages B, C4, C5, D, G2a and Indian lineage M5. Our results indicate that the people of the Tarim Basin had a diverse maternal ancestry, with origins in Europe, central/eastern Siberia and southern/western Asia. These findings, together with information on the cultural context of the Xiaohe cemetery, can be used to test contrasting hypotheses of route of settlement into the Tarim Basin. |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 12% |
| United Kingdom | 2 | 8% |
| Spain | 1 | 4% |
| Indonesia | 1 | 4% |
| France | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 16 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 80% |
| Scientists | 4 | 16% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Switzerland | 1 | 2% |
| Unknown | 42 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Student > Master | 7 | 16% |
| Researcher | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 22% |
| Agricultural and Biological Sciences | 8 | 18% |
| Social Sciences | 6 | 13% |
| Arts and Humanities | 5 | 11% |
| Medicine and Dentistry | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 8 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 16 April 2024.
All research outputs
#780,987
of 25,728,350 outputs
Outputs from BMC Genomic Data
#13
of 1,209 outputs
Outputs of similar age
#8,888
of 276,808 outputs
Outputs of similar age from BMC Genomic Data
#2
of 46 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,209 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 98% 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 276,808 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 96% of its contemporaries.
We're also able to compare this research output to 46 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 95% of its contemporaries.