You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
DeepGRP: engineering a software tool for predicting genomic repetitive elements using Recurrent Neural Networks with attention
|
|---|---|
| Published in |
Algorithms for Molecular Biology, August 2021
|
| DOI | 10.1186/s13015-021-00199-0 |
| Pubmed ID | |
| Authors |
Fabian Hausmann, Stefan Kurtz |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 3 | 6% |
| Professor | 1 | 2% |
| Student > Master | 1 | 2% |
| Student > Bachelor | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 35 | 74% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 2 | 4% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 36 | 77% |