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X Demographics
Mendeley readers
| Title |
Pancreatic Cancer Prediction Through an Artificial Neural Network
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2019
|
| DOI | 10.3389/frai.2019.00002 |
| Pubmed ID | |
| Authors |
Wazir Muhammad, Gregory R. Hart, Bradley Nartowt, James J. Farrell, Kimberly Johung, Ying Liang, Jun Deng |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| Greece | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 17 | 12% |
| Researcher | 15 | 10% |
| Student > Master | 12 | 8% |
| Student > Ph. D. Student | 11 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 20 | 14% |
| Unknown | 64 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 12% |
| Medicine and Dentistry | 15 | 10% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Engineering | 8 | 5% |
| Physics and Astronomy | 6 | 4% |
| Other | 20 | 14% |
| Unknown | 67 | 46% |