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Qtlizer: comprehensive QTL annotation of GWAS results

Overview of attention for article published in bioRxiv, December 2018
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21 X users

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Title
Qtlizer: comprehensive QTL annotation of GWAS results
Published in
bioRxiv, December 2018
DOI 10.1101/495903
Authors

Matthias Munz, Inken Wohlers, Eric Simon, Tobias Reinberger, Hauke Busch, Arne S. Schaefer, Jeanette Erdmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 22%
Student > Ph. D. Student 2 22%
Student > Master 1 11%
Researcher 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 33%
Biochemistry, Genetics and Molecular Biology 2 22%
Computer Science 1 11%
Psychology 1 11%
Unknown 2 22%