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Mendeley readers
Attention Score in Context
Title |
NRE: a tool for exploring neutral loci in the human genome
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Published in |
BMC Bioinformatics, November 2012
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DOI | 10.1186/1471-2105-13-301 |
Pubmed ID | |
Authors |
Leonardo Arbiza, Elaine Zhong, Alon Keinan |
Abstract |
Analyzing regions of the genome where genetic variation is free from the confounding effects of natural selection is essential for many population genetic studies. Several recent studies in humans have stressed the large effect of natural selection at linked neutral sites and have shown that the choice of putatively neutral regions can have a marked effect on estimates of demographic history. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Peru | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 5% |
Sweden | 1 | 2% |
Unknown | 40 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 42% |
Researcher | 14 | 33% |
Student > Bachelor | 2 | 5% |
Student > Master | 1 | 2% |
Lecturer | 1 | 2% |
Other | 2 | 5% |
Unknown | 5 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 47% |
Biochemistry, Genetics and Molecular Biology | 12 | 28% |
Computer Science | 3 | 7% |
Mathematics | 2 | 5% |
Environmental Science | 1 | 2% |
Other | 0 | 0% |
Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Bioinformatics
#5,362
of 7,253 outputs
Outputs of similar age
#112,615
of 179,003 outputs
Outputs of similar age from BMC Bioinformatics
#71
of 104 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 179,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.