Automated Author ProfileKhumela, Morendeni
University of Pretoria
Khumela, Morendeni
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Qualitative study done in a private hospital in Gauteng, Pretoria to explore the support expectation of nurses working in the COVID-19 critical care unit (CCU). There seemed to be a discord between support proposed by the World health organization and the support that nurses received in the COVID-19 ICU. The study included nurses working in the CCU in a private health care facility in Gauteng Province. Qualitative design and Constructivism paradigm was used. The study included 12 nurses working in the CCU, semi-structured interviews were conducted and thematic analysis used for analyzing the data.
Authors
- Khumela, Morendeni
Qualitative study done in a private hospital in Gauteng, Pretoria to explore the support expectation of nurses working in the COVID-19 critical care unit (CCU). There seemed to be a discord between support proposed by the World health organization and the support that nurses received in the COVID-19 ICU. The study included nurses working in the CCU in a private health care facility in Gauteng Province. Qualitative design and Constructivism paradigm was used. The study included 12 nurses working in the CCU, semi-structured interviews were conducted and thematic analysis used for analyzing the data.
Authors
- Khumela, Morendeni