The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning
|
|---|---|
| Published in |
Frontiers in Pharmacology, December 2020
|
| DOI | 10.3389/fphar.2020.606668 |
| Pubmed ID | |
| Authors |
Liangxu Xie, Lei Xu, Ren Kong, Shan Chang, Xiaojun Xu |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 15% |
| Researcher | 7 | 13% |
| Other | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Doctoral Student | 3 | 6% |
| Other | 5 | 9% |
| Unknown | 23 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 13% |
| Computer Science | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Chemical Engineering | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 25 | 46% |