The data shown below were compiled from readership statistics for 56 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 | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 16% |
Researcher | 7 | 13% |
Student > Doctoral Student | 4 | 7% |
Other | 4 | 7% |
Student > Ph. D. Student | 4 | 7% |
Other | 4 | 7% |
Unknown | 24 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 13% |
Biochemistry, Genetics and Molecular Biology | 7 | 13% |
Chemistry | 7 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Chemical Engineering | 2 | 4% |
Other | 5 | 9% |
Unknown | 26 | 46% |