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 |
Drug-target interaction prediction using semi-bipartite graph model and deep learning
|
---|---|
Published in |
BMC Bioinformatics, July 2020
|
DOI | 10.1186/s12859-020-3518-6 |
Pubmed ID | |
Authors |
Hafez Eslami Manoochehri, Mehrdad Nourani |
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 | 15 | 19% |
Student > Master | 7 | 9% |
Researcher | 6 | 7% |
Student > Bachelor | 3 | 4% |
Student > Postgraduate | 3 | 4% |
Other | 7 | 9% |
Unknown | 40 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 25% |
Agricultural and Biological Sciences | 3 | 4% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Engineering | 3 | 4% |
Medicine and Dentistry | 3 | 4% |
Other | 6 | 7% |
Unknown | 43 | 53% |