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In silico identification of genetic variants in glucocerebrosidase (GBA) gene involved in Gaucher's disease using multiple software tools

Overview of attention for article published in Frontiers in Genetics, May 2014
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Title
In silico identification of genetic variants in glucocerebrosidase (GBA) gene involved in Gaucher's disease using multiple software tools
Published in
Frontiers in Genetics, May 2014
DOI 10.3389/fgene.2014.00148
Pubmed ID
Authors

Madhumathi Manickam, Palaniyandi Ravanan, Pratibha Singh, Priti Talwar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Sri Lanka 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Student > Ph. D. Student 7 14%
Researcher 6 12%
Student > Bachelor 6 12%
Student > Postgraduate 6 12%
Other 10 20%
Unknown 5 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 32%
Agricultural and Biological Sciences 15 30%
Medicine and Dentistry 3 6%
Chemistry 3 6%
Neuroscience 2 4%
Other 3 6%
Unknown 8 16%