Sharing GWAS summary statistics results in more citations

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作者：
Guillermo Reales
Chris Wallace
机构：
[1] University of Cambridge,Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID)
[2] University of Cambridge,Department of Medicine
[3] University of Cambridge,MRC Biostatistics Unit
来源：
Communications Biology | / 6卷
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摘要：
Rates of sharing of genome-wide association studies (GWAS) summary statistics are historically low, limiting potential for scientific discovery. Here we show, using GWAS Catalog data, that GWAS papers that share data get on average 81.8% more citations, an effect that is sustained over time.
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