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Fine mapping and subphenotyping implicates ADRA1B gene variants in psoriasis susceptibility in a Chinese population

Overview of attention for article published in Epigenomics, February 2019
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twitter
1 tweeter

Readers on

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3 Mendeley
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Title
Fine mapping and subphenotyping implicates ADRA1B gene variants in psoriasis susceptibility in a Chinese population
Published in
Epigenomics, February 2019
DOI 10.2217/epi-2018-0131
Pubmed ID
Authors

Xing Fan, Hongyan Wang, Liangdan Sun, Xiaodong Zheng, Xianyong Yin, Xianbo Zuo, Qian Peng, Kristopher A Standish, Hui Cheng, Yaohua Zhang, Zaixing Wang, Fengli Xiao, Sen Yang, Xuejun Zhang, Nicholas J Schork

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 33%
Biochemistry, Genetics and Molecular Biology 1 33%
Medicine and Dentistry 1 33%

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 23 February 2019.
All research outputs
#11,888,178
of 13,406,972 outputs
Outputs from Epigenomics
#563
of 680 outputs
Outputs of similar age
#214,472
of 253,340 outputs
Outputs of similar age from Epigenomics
#14
of 17 outputs
Altmetric has tracked 13,406,972 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 680 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% 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 253,340 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.