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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Geographic population structure analysis of worldwide human populations infers their biogeographical origins
|
|---|---|
| Published in |
Nature Communications, April 2014
|
| DOI | 10.1038/ncomms4513 |
| Pubmed ID | |
| Authors |
Eran Elhaik, Tatiana Tatarinova, Dmitri Chebotarev, Ignazio S. Piras, Carla Maria Calò, Antonella De Montis, Manuela Atzori, Monica Marini, Sergio Tofanelli, Paolo Francalacci, Luca Pagani, Chris Tyler-Smith, Yali Xue, Francesco Cucca, Theodore G. Schurr, Jill B. Gaieski, Carlalynne Melendez, Miguel G. Vilar, Amanda C. Owings, Rocío Gómez, Ricardo Fujita, Fabrício R. Santos, David Comas, Oleg Balanovsky, Elena Balanovska, Pierre Zalloua, Himla Soodyall, Ramasamy Pitchappan, ArunKumar GaneshPrasad, Michael Hammer, Lisa Matisoo-Smith, R. Spencer Wells |
| Abstract |
The search for a method that utilizes biological information to predict humans' place of origin has occupied scientists for millennia. Over the past four decades, scientists have employed genetic data in an effort to achieve this goal but with limited success. While biogeographical algorithms using next-generation sequencing data have achieved an accuracy of 700 km in Europe, they were inaccurate elsewhere. Here we describe the Geographic Population Structure (GPS) algorithm and demonstrate its accuracy with three data sets using 40,000-130,000 SNPs. GPS placed 83% of worldwide individuals in their country of origin. Applied to over 200 Sardinians villagers, GPS placed a quarter of them in their villages and most of the rest within 50 km of their villages. GPS's accuracy and power to infer the biogeography of worldwide individuals down to their country or, in some cases, village, of origin, underscores the promise of admixture-based methods for biogeography and has ramifications for genetic ancestry testing. |
X Demographics
The data shown below were collected from the profiles of 69 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 | 11 | 16% |
| United Kingdom | 6 | 9% |
| Canada | 4 | 6% |
| Japan | 3 | 4% |
| Greece | 3 | 4% |
| Norway | 3 | 4% |
| Ireland | 2 | 3% |
| France | 2 | 3% |
| Iceland | 1 | 1% |
| Other | 9 | 13% |
| Unknown | 25 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 54 | 78% |
| Scientists | 8 | 12% |
| Science communicators (journalists, bloggers, editors) | 4 | 6% |
| Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 385 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| United Kingdom | 4 | 1% |
| Germany | 3 | <1% |
| Brazil | 2 | <1% |
| Sweden | 2 | <1% |
| Mexico | 2 | <1% |
| Philippines | 2 | <1% |
| Spain | 2 | <1% |
| China | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 355 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 94 | 24% |
| Student > Ph. D. Student | 77 | 20% |
| Student > Master | 44 | 11% |
| Student > Bachelor | 30 | 8% |
| Other | 23 | 6% |
| Other | 71 | 18% |
| Unknown | 46 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 159 | 41% |
| Biochemistry, Genetics and Molecular Biology | 71 | 18% |
| Medicine and Dentistry | 17 | 4% |
| Computer Science | 14 | 4% |
| Social Sciences | 14 | 4% |
| Other | 51 | 13% |
| Unknown | 59 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 377. 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 29 January 2024.
All research outputs
#84,167
of 25,837,817 outputs
Outputs from Nature Communications
#1,260
of 58,118 outputs
Outputs of similar age
#613
of 245,558 outputs
Outputs of similar age from Nature Communications
#11
of 567 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done particularly well, scoring higher than 97% 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 245,558 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 98% of its contemporaries.
We're also able to compare this research output to 567 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 98% of its contemporaries.