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X Demographics
Mendeley readers
| Title |
Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms
|
|---|---|
| Published in |
Frontiers in Big Data, May 2021
|
| DOI | 10.3389/fdata.2021.613047 |
| Pubmed ID | |
| Authors |
Samuel O. Danso, Zhanhang Zeng, Graciela Muniz-Terrera, Craig W. Ritchie |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 5 | 50% |
| Switzerland | 2 | 20% |
| Germany | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 7 | 9% |
| Researcher | 4 | 5% |
| Other | 4 | 5% |
| Student > Bachelor | 3 | 4% |
| Other | 12 | 16% |
| Unknown | 34 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 22% |
| Nursing and Health Professions | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Psychology | 3 | 4% |
| Engineering | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 38 | 51% |