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Transcriptomic Analysis of Inflammatory Cardiomyopathy Identifies Molecular Signatures of Disease and Informs in silico Prediction of a Network-Based Rationale for Therapy

Overview of attention for article published in Frontiers in immunology, March 2021
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Title
Transcriptomic Analysis of Inflammatory Cardiomyopathy Identifies Molecular Signatures of Disease and Informs in silico Prediction of a Network-Based Rationale for Therapy
Published in
Frontiers in immunology, March 2021
DOI 10.3389/fimmu.2021.640837
Pubmed ID
Authors

Kamayani Singh, Hai Fang, Graham Davies, Benjamin Wright, Helen Lockstone, Richard O. Williams, Daniela Ciháková, Julian C. Knight, Shoumo Bhattacharya

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 10 40%
Researcher 3 12%
Student > Doctoral Student 2 8%
Student > Ph. D. Student 1 4%
Student > Postgraduate 1 4%
Other 1 4%
Unknown 7 28%
Readers by discipline Count As %
Unspecified 10 40%
Biochemistry, Genetics and Molecular Biology 2 8%
Engineering 2 8%
Medicine and Dentistry 1 4%
Psychology 1 4%
Other 0 0%
Unknown 9 36%