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Attention Score in Context
Title |
Prediction of lung cancer risk in a Chinese population using a multifactorial genetic model
|
---|---|
Published in |
BMC Medical Genomics, December 2012
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DOI | 10.1186/1471-2350-13-118 |
Pubmed ID | |
Authors |
Huan Li, Lixin Yang, Xueying Zhao, Jiucun Wang, Ji Qian, Hongyan Chen, Weiwei Fan, Hongcheng Liu, Li Jin, Weimin Wang, Daru Lu |
Abstract |
Lung cancer is a complex polygenic disease. Although recent genome-wide association (GWA) studies have identified multiple susceptibility loci for lung cancer, most of these variants have not been validated in a Chinese population. In this study, we investigated whether a genetic risk score combining multiple. |
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 % |
---|---|---|
Germany | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 3% |
Australia | 1 | 3% |
Unknown | 36 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 18% |
Researcher | 7 | 18% |
Student > Master | 5 | 13% |
Student > Postgraduate | 4 | 11% |
Student > Doctoral Student | 3 | 8% |
Other | 7 | 18% |
Unknown | 5 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 24% |
Agricultural and Biological Sciences | 5 | 13% |
Biochemistry, Genetics and Molecular Biology | 4 | 11% |
Engineering | 3 | 8% |
Immunology and Microbiology | 2 | 5% |
Other | 7 | 18% |
Unknown | 8 | 21% |
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 11 December 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#226,704
of 286,419 outputs
Outputs of similar age from BMC Medical Genomics
#30
of 43 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 17th percentile – i.e., 17% 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 286,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.