Automated Author ProfileDurandt, Chrisna
University of Pretoria0000-0002-5679-4669
Durandt, Chrisna
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: 2.8 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Flow cytometric analysis of various techniques used to compare the haematological profile of a treatment-naïve HIV-positive group to a HIV-negative (control) group. The data analysed is as following: basic immune profile, mononuclear cell isolation, enumeration and phenotypic characterisation of haematopoietic stem and progenitor cells, colony forming units assessment and enumeration of myeloid derived suppressor cells. Mononuclear cell count of each sample analysed are provided in pdf format. Processed data requires Graphpad Prism software to be opened. All images related to the data are available in .png format.
Authors
- Mashingaidze, Tsungai ;
- Durandt, Chrisna ;
- Mellet, Juanita ;
- Moodley, Vanessa
Flow cytometric analysis of various techniques used to compare the haematological profile of a treatment-naïve HIV-positive group to a HIV-negative (control) group. The data analysed is as following: basic immune profile, mononuclear cell isolation, enumeration and phenotypic characterisation of haematopoietic stem and progenitor cells, colony forming units assessment and enumeration of myeloid derived suppressor cells. Mononuclear cell count of each sample in pdf format. Processed data requires Graphpad Prism software to be opened. All images related to the data are available in .png format.
Authors
- Mashingaidze, Tsungai ;
- Durandt, Chrisna ;
- Mellet, Juanita ;
- Moodley, Vanessa
Flow cytometric analysis of various techniques used to compare the haematological profile of a treatment-naïve HIV-positive group to a HIV-negative (control) group. The data analysed is as following: basic immune profile, mononuclear cell isolation, enumeration and phenotypic characterisation of haematopoietic stem and progenitor cells, colony forming units assessment and enumeration of myeloid derived suppressor cells. Mononuclear cell count of each sample analysed are provided in pdf format. Processed data requires Graphpad Prism software to be opened. All images related to the data are available in .png format.
Authors
- Mashingaidze, Tsungai ;
- Durandt, Chrisna ;
- Mellet, Juanita ;
- Moodley, Vanessa