Automated Author ProfileDuplaga, Mariusz
Department of Health Promotion and e-Health, Faculty of Health Sciences, Institute of Public Health, Jagiellonian University Medical College0000-0001-6963-8414
Duplaga, Mariusz
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: 15.4 (sum of 27 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset used for the analysis reported in the paper "The relationship between health literacy and satisfaction with medical care in parents of children with chronic gastrointestinal diseases". Excel file contain the full dataset used for hierarchical linear regression as well as subsets generated for conducting exploratory and confirmatory factor analyses.
Authors
- Duplaga, Mariusz
Dataset used for the analysis reported in the paper "The relationship between health literacy and satisfaction with medical care in parents of children with chronic gastrointestinal diseases". Excel file contain the full dataset used for hierarchical linear regression as well as subsets generated for conducting exploratory and confirmatory factor analyses.
Authors
- Duplaga, Mariusz
The dataset used in the analysis reported in the paper titled: "Determinants of the acceptance of health-related use of artificial intelligence in the general population: a cross-sectional study" submitted for the Medical Informatics Europe Conference 2026, Genoa, Italy, May 25-28, 2026. This research was funded by the National Science Centre, Poland, within the project titled: "Determinants of acceptance and readiness to use of e-health applications and Health 4.0 technologies in Polish society" (grant number: 2021/43/B/NZ7/02140).
Authors
- Duplaga, Mariusz
The dataset used in the analysis reported in the paper titled: "Exploring the Relationship Between Susceptibility to Health Misinformation and Vaccine Hesitancy in Poland" submitted to Healthcare. This research was funded in whole by the National Centre of Science, Poland, within the project titled "Health literacy and resilience against health-related denialism and misinformation" (Grant No 2021/41/B/HS6/02131). For the purpose of Open Access, the author has applied a CC-BY public copyright licence to any Author Accepted Manuscript (AAM) version arising from this submission.
Authors
- Duplaga, Mariusz
The dataset used in the analysis reported in the paper titled: "Exploring the Relationship Between Susceptibility to Health Misinformation and Vaccine Hesitancy in Poland" submitted to Healthcare. This research was funded in whole by the National Centre of Science, Poland, within the project titled "Health literacy and resilience against health-related denialism and misinformation" (Grant No 2021/41/B/HS6/02131). For the purpose of Open Access, the author has applied a CC-BY public copyright licence to any Author Accepted Manuscript (AAM) version arising from this submission.
Authors
- Duplaga, Mariusz
The dataset used for the analysis submitted as the poster for the conference MEDINFO 2025. This research was funded by the National Science Centre, Poland, within the project titled: "Determinants of acceptance and readiness to use of e-health applications and Health 4.0 technologies in Polish society" (grant number: 2021/43/B/NZ7/02140).
Authors
- Duplaga, Mariusz
The dataset used for the analysis submitted as the poster for the conference MEDINFO 2025. This research was funded by the National Science Centre, Poland, within the project titled: "Determinants of acceptance and readiness to use of e-health applications and Health 4.0 technologies in Polish society" (grant number: 2021/43/B/NZ7/02140).
Authors
- Duplaga, Mariusz
The dataset used in the analysis reported in the paper titled: "Determinants of the acceptance of health-related use of artificial intelligence in the general population: a cross-sectional study" submitted for the Medical Informatics Europe Conference 2026, Genoa, Italy, May 25-28, 2026. This research was funded by the National Science Centre, Poland, within the project titled: "Determinants of acceptance and readiness to use of e-health applications and Health 4.0 technologies in Polish society" (grant number: 2021/43/B/NZ7/02140).
Authors
- Duplaga, Mariusz
It is an extract of the transcripts of in-depth interviews used for the preparation of the paper titled "The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study"This research was funded in whole by the National Centre of Science, Poland within the project titled "Determinanty akceptacji i gotowości wykorzystania aplikacji e-zdrowia i technologii Zdrowia 4.0 w polskim społeczeństwie" (Grant No 2021/43/B/NZ7/02140). For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Authors
- Duplaga, Mariusz
It is an extract of the transcripts of in-depth interviews used for the preparation of the paper titled "The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study"This research was funded in whole by the National Centre of Science, Poland within the project titled "Determinanty akceptacji i gotowości wykorzystania aplikacji e-zdrowia i technologii Zdrowia 4.0 w polskim społeczeństwie" (Grant No 2021/43/B/NZ7/02140). For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Authors
- Duplaga, Mariusz