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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Common variants explain a large fraction of the variability in the liability to psoriasis in a Han Chinese population
|
|---|---|
| Published in |
BMC Genomics, January 2014
|
| DOI | 10.1186/1471-2164-15-87 |
| Pubmed ID | |
| Authors |
Xianyong Yin, Nathan E Wineinger, Hui Cheng, Yong Cui, Fusheng Zhou, Xianbo Zuo, Xiaodong Zheng, Sen Yang, Nicholas J Schork, Xuejun Zhang |
| Abstract |
Psoriasis is a common inflammatory skin disease with a known genetic component. Our previously published psoriasis genome-wide association study identified dozens of novel susceptibility loci in Han Chinese. However, these markers explained only a small fraction of the estimated heritable component of psoriasis. To better understand the unknown yet likely polygenic architecture in psoriasis, we applied a linear mixed model to quantify the variation in the liability to psoriasis explained by common genetic markers (minor allele frequency > 0.01) in a Han Chinese population. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Professor > Associate Professor | 3 | 13% |
| Student > Ph. D. Student | 2 | 9% |
| Unspecified | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 22% |
| Medicine and Dentistry | 3 | 13% |
| Nursing and Health Professions | 2 | 9% |
| Mathematics | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
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 30 August 2014.
All research outputs
#15,304,580
of 22,761,738 outputs
Outputs from BMC Genomics
#6,678
of 10,638 outputs
Outputs of similar age
#189,830
of 307,511 outputs
Outputs of similar age from BMC Genomics
#274
of 440 outputs
Altmetric has tracked 22,761,738 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 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 307,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 440 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.