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X Demographics
Mendeley readers
| Title |
AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures
|
|---|---|
| Published in |
Frontiers in Big Data, March 2020
|
| DOI | 10.3389/fdata.2020.00004 |
| Pubmed ID | |
| Authors |
Shruti Kaushik, Abhinav Choudhury, Pankaj Kumar Sheron, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, Varun Dutt |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 2 | 22% |
| United States | 1 | 11% |
| Switzerland | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 205 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 14% |
| Student > Ph. D. Student | 23 | 11% |
| Student > Bachelor | 16 | 8% |
| Researcher | 13 | 6% |
| Unspecified | 7 | 3% |
| Other | 26 | 13% |
| Unknown | 91 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 39 | 19% |
| Engineering | 15 | 7% |
| Mathematics | 9 | 4% |
| Unspecified | 7 | 3% |
| Nursing and Health Professions | 5 | 2% |
| Other | 31 | 15% |
| Unknown | 99 | 48% |