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Mendeley readers
| Title |
Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study
|
|---|---|
| Published in |
Brazilian Journal of Medical and Biological Research, January 2023
|
| DOI | 10.1590/1414-431x2023e12475 |
| Pubmed ID | |
| Authors |
C. Szlejf, A.F.M. Batista, L. Bertola, P.A. Lotufo, I.M. Benseãor, A.D.P. Chiavegatto, C.K. Suemoto |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 11% |
| Student > Postgraduate | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 13 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 19% |
| Business, Management and Accounting | 2 | 7% |
| Computer Science | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 14 | 52% |