Automated Author ProfileCaetano, Filipe
Instituto Politécnico da Guarda; CICF-IPCA0000-0001-6857-7971
Caetano, Filipe
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data explores the factors that influence candidates’ success in the Certified Accountant access exam in Portugal, a country where passing this exam is a formal requirement to enter the profession. The research focuses on all accounting graduates from the Polytechnic University of Portalegre between 2014/15 and 2018/19. Data was collected through a structured questionnaire and analyzed using multiple linear regression to identify the main variables associated with exam success
Authors
- Borrego, Ana Clara ;
- Curião, Maria de Fátima ;
- Abreu, Rute ;
- Carreira, Francisco Alegria ;
- Tavares, Nuno ;
- Caetano, Filipe ;
- Segura, Liliane ;
- Nunes, Sara
This data explores the factors that influence candidates’ success in the Certified Accountant access exam in Portugal, a country where passing this exam is a formal requirement to enter the profession. The research focuses on all accounting graduates from the Polytechnic University of Portalegre between 2014/15 and 2018/19. Data was collected through a structured questionnaire and analyzed using multiple linear regression to identify the main variables associated with exam success
Authors
- Borrego, Ana Clara ;
- Curião, Maria de Fátima ;
- Abreu, Rute ;
- Carreira, Francisco Alegria ;
- Tavares, Nuno ;
- Caetano, Filipe ;
- Segura, Liliane ;
- Nunes, Sara