The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, August 2022
|
| DOI | 10.3389/fnagi.2022.977034 |
| Pubmed ID | |
| Authors |
Shuojia Wang, Weiren Wang, Xiaowen Li, Yafei Liu, Jingming Wei, Jianguang Zheng, Yan Wang, Birong Ye, Ruihui Zhao, Yu Huang, Sixiang Peng, Yefeng Zheng, Yanbing Zeng |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 13% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Lecturer | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 16 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Neuroscience | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 17 | 55% |