Automated Author ProfilePhilipe Meneses Benevides
Philipe Meneses Benevides
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 study aimed to build a job quality assessment model for the More Doctors Program (PMM, in Portuguese) based on participating physicians’ job satisfaction, using structural equation modeling. The assessment drew on a database with answers to a questionnaire developed by a group of the program’s supervisors in the State of Paraíba, Brazil, and applied to physicians between December 2015 and September 2016. Exploratory factor analysis was performed to extract significant attributes and form final dimensions, and later confirmatory factor analysis was used to assess the relationship between variables. The initially proposed satisfaction model underwent some changes based on the analyses, and the final model consisted of 49 variables grouped in 6 dimensions: medications, structure, characteristics of the program, support, printed materials, and equipment. Medications and structure were the constructs with the greatest effect on physician satisfaction (0.53 and 0.39), followed by program characteristics and support (both with 0.29). The instrument proposed in this article should allow a comprehensive view of aspects involved in physicians’ job satisfaction, providing a point of departure for future analyses and validations on job quality in primary care.
Authors
- Philipe Meneses Benevides ;
- Neto, Alexandre José De Melo ;
- Silva, Isabelle Cristina Borba Da ;
- Tenório, Maria Emília Chaves ;
- Soares, Gabriella Barreto ;
- Soares, Ricardo De Sousa ;
- Sampaio, Juliana
This study aimed to build a job quality assessment model for the More Doctors Program (PMM, in Portuguese) based on participating physicians’ job satisfaction, using structural equation modeling. The assessment drew on a database with answers to a questionnaire developed by a group of the program’s supervisors in the State of Paraíba, Brazil, and applied to physicians between December 2015 and September 2016. Exploratory factor analysis was performed to extract significant attributes and form final dimensions, and later confirmatory factor analysis was used to assess the relationship between variables. The initially proposed satisfaction model underwent some changes based on the analyses, and the final model consisted of 49 variables grouped in 6 dimensions: medications, structure, characteristics of the program, support, printed materials, and equipment. Medications and structure were the constructs with the greatest effect on physician satisfaction (0.53 and 0.39), followed by program characteristics and support (both with 0.29). The instrument proposed in this article should allow a comprehensive view of aspects involved in physicians’ job satisfaction, providing a point of departure for future analyses and validations on job quality in primary care.
Authors
- Philipe Meneses Benevides ;
- Neto, Alexandre José De Melo ;
- Silva, Isabelle Cristina Borba Da ;
- Tenório, Maria Emília Chaves ;
- Soares, Gabriella Barreto ;
- Soares, Ricardo De Sousa ;
- Sampaio, Juliana