You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
Efficient Chronic Disease Diagnosis Prediction and Recommendation System
|
|---|---|
| Published by |
Institute of Electrical and Electronics Engineers (IEEE), December 2012
|
| DOI | 10.1109/iecbes.2012.6498117 |
| Authors |
Asmaa S. Hussein, Wail M. Omar, Xue Li, Modafar Ati |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 59 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 18% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Bachelor | 9 | 15% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 46% |
| Engineering | 7 | 11% |
| Business, Management and Accounting | 3 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 16 | 26% |