Automated Author ProfilePurvis, Mayumi
Purvis, Mayumi
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: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is a datafile from a desktop review of counsellor educators' characteristics and qualifications. From May to August 2024, the researchers collected publicly available data on educators listed as contributing to counselling courses accredited with the Psychotherapy and Counselling Federation of Australia and the Australian Counselling Association. Data was collected and cross-referenced from Australian higher education institution websites (e.g. staff directories, subject outlines), LinkedIn profiles, ResearchGate, Google Scholar, ORCID, and personal and business websites. No ethics approval was sought for the data collection given that the data was publicly available and is de-identified. Data includes information on educator rank, level and category of qualifications, professional identity and registration, and volume of research publications. The data may have variations of incompleteness and inaccuracies based on what was available and not available online at the time of searches. It was manually collected and checked by two researchers. This data is the first known complete systematic point-in-time collection related to Australian counselling academics. The dataset will enable the identification of trends across the counselling academic workforce at the time of collection.
Authors
- Beel, Nathan ;
- Purvis, Mayumi