Automated Author ProfileGodley, A.
Godley, A.
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
With inward investment such an important contributor to the United Kingdom economy in recent decades, and increasingly in services, this project was designed to assess the historical impact of foreign direct investment in the United Kingdom's largest service sector: retailing. Accordingly the project's principal aim was to map the complete population of subsidiaries of foreign firms active in British retailing from 1850 (before when foreign entry was negligible) to 1962 (after when official sources of inward direct investment begin). Using standard historical research methods, 108 separate retailing subsidiaries of foreign firms active in the United Kingdom during the period were documented. This population was then compared with the historical population of inward investors in manufacturing, and with the United Kingdom retailing sector in general. Furthermore, the dataset constructed here was spliced onto existing datasets of current indicators of foreign entry into British retailing. This then enabled the longitudinal analysis to be brought forward to the present, providing important historical context for current trends.
Authors
- Fletcher, S. ;
- Godley, A.