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Mendeley readers
| Title |
ATAC2GRN: optimized ATAC-seq and DNase1-seq pipelines for rapid and accurate genome regulatory network inference
|
|---|---|
| Published in |
BMC Genomics, July 2018
|
| DOI | 10.1186/s12864-018-4943-z |
| Pubmed ID | |
| Authors |
Thomas J. F. Pranzatelli, Drew G. Michael, John A. Chiorini |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 23% |
| Researcher | 14 | 17% |
| Student > Master | 11 | 14% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 36% |
| Agricultural and Biological Sciences | 18 | 22% |
| Medicine and Dentistry | 3 | 4% |
| Computer Science | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 19 | 23% |