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Mendeley readers
| Title |
A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008–2017
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2018
|
| DOI | 10.1186/s12911-018-0692-9 |
| Pubmed ID | |
| Authors |
Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao, Ruoyao Ding |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 12% |
| Student > Master | 9 | 9% |
| Student > Ph. D. Student | 8 | 8% |
| Other | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Other | 16 | 16% |
| Unknown | 38 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 16% |
| Business, Management and Accounting | 7 | 7% |
| Medicine and Dentistry | 7 | 7% |
| Social Sciences | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 40 | 41% |