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Attention Score in Context
Title |
Phenotype prediction from genome-wide association studies: application to smoking behaviors
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Published in |
BMC Systems Biology, December 2012
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DOI | 10.1186/1752-0509-6-s2-s11 |
Pubmed ID | |
Authors |
Dankyu Yoon, Young Jin Kim, Taesung Park |
Abstract |
A great success of the genome wide association study enabled us to give more attention on the personal genome and clinical application such as diagnosis and disease risk prediction. However, previous prediction studies using known disease associated loci have not been successful (Area Under Curve 0.55 ~ 0.68 for type 2 diabetes and coronary heart disease). There are several reasons for poor predictability such as small number of known disease-associated loci, simple analysis not considering complexity in phenotype, and a limited number of features used for prediction. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
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 % |
---|---|---|
United Kingdom | 1 | 3% |
Korea, Republic of | 1 | 3% |
Denmark | 1 | 3% |
Germany | 1 | 3% |
Unknown | 32 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 19% |
Student > Master | 6 | 17% |
Student > Doctoral Student | 3 | 8% |
Student > Bachelor | 3 | 8% |
Researcher | 3 | 8% |
Other | 3 | 8% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 28% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Medicine and Dentistry | 3 | 8% |
Computer Science | 3 | 8% |
Nursing and Health Professions | 2 | 6% |
Other | 4 | 11% |
Unknown | 11 | 31% |
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 21 January 2013.
All research outputs
#18,326,065
of 22,693,205 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#216,412
of 278,741 outputs
Outputs of similar age from BMC Systems Biology
#41
of 56 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.