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Attention Score in Context
Title |
Inferring ethnicity from mitochondrial DNA sequence
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Published in |
BMC Proceedings, April 2011
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DOI | 10.1186/1753-6561-5-s2-s11 |
Pubmed ID | |
Authors |
Chih Lee, Ion I Măndoiu, Craig E Nelson |
Abstract |
The assignment of DNA samples to coarse population groups can be a useful but difficult task. One such example is the inference of coarse ethnic groupings for forensic applications. Ethnicity plays an important role in forensic investigation and can be inferred with the help of genetic markers. Being maternally inherited, of high copy number, and robust persistence in degraded samples, mitochondrial DNA may be useful for inferring coarse ethnicity. In this study, we compare the performance of methods for inferring ethnicity from the sequence of the hypervariable region of the mitochondrial genome. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 4% |
Mali | 1 | 2% |
India | 1 | 2% |
Sweden | 1 | 2% |
Thailand | 1 | 2% |
United Kingdom | 1 | 2% |
Unknown | 42 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 11 | 22% |
Researcher | 9 | 18% |
Student > Ph. D. Student | 8 | 16% |
Student > Master | 4 | 8% |
Professor > Associate Professor | 3 | 6% |
Other | 4 | 8% |
Unknown | 10 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 33% |
Biochemistry, Genetics and Molecular Biology | 9 | 18% |
Computer Science | 4 | 8% |
Social Sciences | 2 | 4% |
Chemistry | 2 | 4% |
Other | 5 | 10% |
Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 27 December 2023.
All research outputs
#2,234,922
of 25,658,139 outputs
Outputs from BMC Proceedings
#19
of 403 outputs
Outputs of similar age
#9,571
of 122,084 outputs
Outputs of similar age from BMC Proceedings
#2
of 11 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 403 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 95% 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 122,084 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 91% of its contemporaries.
We're also able to compare this research output to 11 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 72% of its contemporaries.