| Title |
Ancient Ancestry Informative Markers for Identifying Fine-Scale Ancient Population Structure in Eurasians
|
|---|---|
| Published in |
Genes, December 2018
|
| DOI | 10.3390/genes9120625 |
| Pubmed ID | |
| Authors |
Umberto Esposito, Ranajit Das, Syakir Syed, Mehdi Pirooznia, Eran Elhaik |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Spain | 1 | 13% |
| United Kingdom | 1 | 13% |
| Japan | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 7 | 19% |
| Other | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 36% |
| Agricultural and Biological Sciences | 6 | 17% |
| Social Sciences | 3 | 8% |
| Computer Science | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 92. 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 19 March 2021.
All research outputs
#471,751
of 25,732,188 outputs
Outputs from Genes
#43
of 6,729 outputs
Outputs of similar age
#10,357
of 447,487 outputs
Outputs of similar age from Genes
#4
of 154 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,729 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 447,487 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 97% of its contemporaries.
We're also able to compare this research output to 154 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 97% of its contemporaries.