Automated Author ProfileUnit, Neuroepidemiology
Unit, Neuroepidemiology
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: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Demographic and health-related data were collected from 35 participants diagnosed with Multiple Sclerosis (MS) across Australia, Canada, New Zealand, and the United States as part of a feasibility study for a 6-week web-based educational lifestyle program (2021). Participants were aged 18 years or older and proficient in English. The dataset includes baseline and follow-up survey data on quality of life, disability, self-efficacy, fatigue, depression, and perceived social support. Additionally, it includes information on modifiable lifestyle factors such as diet, physical activity, sun exposure, vitamin D supplementation, stress reduction activities, alcohol intake, comorbidities, and medication use. Only participants who completed at least some modules of the course and provided complete baseline data are included.
Authors
- HeSANDA, MACH ;
- Unit, Neuroepidemiology
Demographic and health-related data were collected from 35 participants diagnosed with Multiple Sclerosis (MS) across Australia, Canada, New Zealand, and the United States as part of a feasibility study for a 6-week web-based educational lifestyle program (2021). Participants were aged 18 years or older and proficient in English. The dataset includes baseline and follow-up survey data on quality of life, disability, self-efficacy, fatigue, depression, and perceived social support. Additionally, it includes information on modifiable lifestyle factors such as diet, physical activity, sun exposure, vitamin D supplementation, stress reduction activities, alcohol intake, comorbidities, and medication use. Only participants who completed at least some modules of the course and provided complete baseline data are included.
Authors
- HeSANDA, MACH ;
- Unit, Neuroepidemiology