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Mendeley readers
Title |
MHiC, an integrated user-friendly tool for the identification and visualization of significant interactions in Hi-C data
|
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Published in |
BMC Genomics, March 2020
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DOI | 10.1186/s12864-020-6636-7 |
Pubmed ID | |
Authors |
Saman Khakmardan, Mohsen Rezvani, Ali Akbar Pouyan, Mansoor Fateh, Hamid Alinejad-Rokny |
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 > Ph. D. Student | 4 | 25% |
Researcher | 4 | 25% |
Student > Master | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Other | 1 | 6% |
Unknown | 4 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 25% |
Biochemistry, Genetics and Molecular Biology | 3 | 19% |
Mathematics | 1 | 6% |
Unspecified | 1 | 6% |
Nursing and Health Professions | 1 | 6% |
Other | 1 | 6% |
Unknown | 5 | 31% |