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Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus

Overview of attention for article published in Clinical Rheumatology, November 2019
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31 Mendeley
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Title
Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus
Published in
Clinical Rheumatology, November 2019
DOI 10.1007/s10067-019-04751-7
Pubmed ID
Authors

Fangyuan Yang, Zeqing Zhai, Xiaoqing Luo, Guihu Luo, Lili Zhuang, Yanan Zhang, Yehao Li, Erwei Sun, Yi He

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 13%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 10%
Student > Doctoral Student 3 10%
Student > Master 1 3%
Other 1 3%
Unknown 15 48%
Readers by discipline Count As %
Medicine and Dentistry 5 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Immunology and Microbiology 2 6%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 17 55%