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Determining the pathogenicity of CFTR missense variants: Multiple comparisons of in silico predictors and variant annotation databases

Overview of attention for article published in Genetics and Molecular Biology, September 2019
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Title
Determining the pathogenicity of CFTR missense variants: Multiple comparisons of in silico predictors and variant annotation databases
Published in
Genetics and Molecular Biology, September 2019
DOI 10.1590/1678-4685-gmb-2018-0148
Pubmed ID
Authors

Marcus Michels, Ursula Matte, Lucas Rosa Fraga, Aline Castello Branco Mancuso, Rodrigo Ligabue-Braun, Elias Figueroa Rodrigues Berneira, Marina Siebert, Maria Teresa Vieira Sanseverino

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 31%
Researcher 4 25%
Student > Bachelor 3 19%
Student > Ph. D. Student 1 6%
Unknown 3 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Nursing and Health Professions 2 13%
Environmental Science 1 6%
Chemical Engineering 1 6%
Agricultural and Biological Sciences 1 6%
Other 3 19%
Unknown 3 19%