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Attention Score in Context
Title |
Genomic scan of selective sweeps in thin and fat tail sheep breeds for identifying of candidate regions associated with fat deposition
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Published in |
BMC Genomic Data, February 2012
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DOI | 10.1186/1471-2156-13-10 |
Pubmed ID | |
Authors |
Mohammad Hossein Moradi, Ardeshir Nejati-Javaremi, Mohammad Moradi-Shahrbabak, Ken G Dodds, John C McEwan |
Abstract |
Identification of genomic regions that have been targets of selection for phenotypic traits is one of the most important and challenging areas of research in animal genetics. However, currently there are relatively few genomic regions identified that have been subject to positive selection. In this study, a genome-wide scan using ~50,000 Single Nucleotide Polymorphisms (SNPs) was performed in an attempt to identify genomic regions associated with fat deposition in fat-tail breeds. This trait and its modification are very important in those countries grazing these breeds. |
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 % |
---|---|---|
United Kingdom | 1 | 17% |
Sweden | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 2 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 1% |
Finland | 2 | 1% |
Brazil | 1 | <1% |
Switzerland | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
United States | 1 | <1% |
Unknown | 141 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 21% |
Student > Ph. D. Student | 26 | 17% |
Student > Master | 21 | 14% |
Student > Doctoral Student | 9 | 6% |
Professor > Associate Professor | 8 | 5% |
Other | 19 | 13% |
Unknown | 34 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 84 | 56% |
Biochemistry, Genetics and Molecular Biology | 17 | 11% |
Veterinary Science and Veterinary Medicine | 5 | 3% |
Environmental Science | 1 | <1% |
Mathematics | 1 | <1% |
Other | 4 | 3% |
Unknown | 37 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 13 November 2018.
All research outputs
#5,339,559
of 25,374,917 outputs
Outputs from BMC Genomic Data
#181
of 1,204 outputs
Outputs of similar age
#33,238
of 168,142 outputs
Outputs of similar age from BMC Genomic Data
#3
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 84% 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 168,142 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.