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X Demographics
Mendeley readers
| Title |
Descriptor Free QSAR Modeling Using Deep Learning With Long Short-Term Memory Neural Networks
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2019
|
| DOI | 10.3389/frai.2019.00017 |
| Pubmed ID | |
| Authors |
Suman K. Chakravarti, Sai Radha Mani Alla |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Switzerland | 1 | 14% |
| France | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 16% |
| Student > Master | 15 | 14% |
| Researcher | 12 | 11% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 13 | 12% |
| Unknown | 37 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 18% |
| Biochemistry, Genetics and Molecular Biology | 11 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 8% |
| Computer Science | 7 | 6% |
| Engineering | 7 | 6% |
| Other | 15 | 14% |
| Unknown | 42 | 38% |