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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic diversity in India and the inference of Eurasian population expansion
|
|---|---|
| Published in |
Genome Biology, November 2010
|
| DOI | 10.1186/gb-2010-11-11-r113 |
| Pubmed ID | |
| Authors |
Jinchuan Xing, W Scott Watkins, Ya Hu, Chad D Huff, Aniko Sabo, Donna M Muzny, Michael J Bamshad, Richard A Gibbs, Lynn B Jorde, Fuli Yu |
| Abstract |
Genetic studies of populations from the Indian subcontinent are of great interest because of India's large population size, complex demographic history, and unique social structure. Despite recent large-scale efforts in discovering human genetic variation, India's vast reservoir of genetic diversity remains largely unexplored. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 27% |
| China | 1 | 9% |
| United States | 1 | 9% |
| Germany | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| United Kingdom | 2 | 2% |
| Norway | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Spain | 1 | <1% |
| Philippines | 1 | <1% |
| Unknown | 109 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 34% |
| Researcher | 28 | 23% |
| Student > Master | 9 | 7% |
| Student > Bachelor | 8 | 7% |
| Professor | 7 | 6% |
| Other | 16 | 13% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 52% |
| Biochemistry, Genetics and Molecular Biology | 10 | 8% |
| Medicine and Dentistry | 8 | 7% |
| Social Sciences | 5 | 4% |
| Computer Science | 2 | 2% |
| Other | 16 | 13% |
| Unknown | 17 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 01 February 2024.
All research outputs
#1,507,416
of 25,374,917 outputs
Outputs from Genome Biology
#1,211
of 4,467 outputs
Outputs of similar age
#7,414
of 188,640 outputs
Outputs of similar age from Genome Biology
#7
of 36 outputs
Altmetric has tracked 25,374,917 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 72% 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 188,640 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 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.