Automated Author ProfileEksteen, Susan
Eksteen, Susan
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: 1.5 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset contains data from a community-based hearing and vision service-delivery programme and aims to determine the prevalence in sensory losses in preschool children from a low income South African community.
Authors
- Eksteen, Susan ;
- Swanepoel, De Wet
The dataset contains data from a community-based hearing and vision service-delivery programme and aims to determine the prevalence in sensory losses in preschool children from a low income South African community.
Authors
- Eksteen, Susan ;
- Swanepoel, De Wet
This datasheet contains de-identified data that was used for statistical analysis using IBM SPSS Statistics for Windows (version 25.0 Armonk, NY) in order to compare three protocols used for hearing screening. Three logistic regression models were built to evaluate the association between screening outcome and protocol, age and gender for the initial screening, final (overall) screening, as well as the final result after the first-line follow-up. A multiple linear regression model was used to estimate the association between test duration and protocol, age and gender.
Authors
- Eksteen, Susan
This datasheet contains de-identified data that was used for statistical analysis using IBM SPSS Statistics for Windows (version 25.0 Armonk, NY) in order to compare three protocols used for hearing screening. Three logistic regression models were built to evaluate the association between screening outcome and protocol, age and gender for the initial screening, final (overall) screening, as well as the final result after the first-line follow-up. A multiple linear regression model was used to estimate the association between test duration and protocol, age and gender.
Authors
- Eksteen, Susan
The dataset contains data from a community-based hearing and vision service-delivery programme and aims to determine the prevalence in sensory losses in preschool children from a low income South African community.
Authors
- Eksteen, Susan ;
- Swanepoel, De Wet