Automated Author ProfileLoretto, Wendy
0000-0003-1313-1635
Loretto, Wendy
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: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
There is an urgent need to make the health of over-50s more visible in order to better support later-life working. Of people aged 50-64, 44% have a long-term health condition and 21% of older workers who leave employment ‘early’ (i.e. before SPA) cite health problems as the primary reason for leaving. Leaving employment under these circumstances then has subsequent negative consequences for lower quality of life and well-being well beyond retirement age.The SHAW (Supporting Healthy Ageing at Work) project was a 3-year multi-stage project which aimed to better understand the reciprocal nature of health and work among over-50s in three different case settings.This data set comprises the 82 transcripts from the qualitative lifecourse interviews which are available via the Edinburgh DataShare repository.
Authors
- Loretto, Wendy