Automated Author ProfileVodonos, Alina
Vodonos, Alina
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: 1.3 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Gridded surface concentrations of fine particles or PM2.5 in Africa in 2012 and 2030 to determine the impact of increased adoption of fossil fuels on health. Surface concentrations were obtained with the GEOS-Chem chemical transport model simulated regionally over Africa at 0.5 degrees latitude by 0.667 degrees longitude.
The 2012 simulation uses updated estimates of emissions from fossil fuels used for vehicles and electricity generation. The 2030 simulation uses the same 2012 meteorology, but with updated PM2.5 precursor emissions that account for growth in vehicle ownership from 2012 to 2030 and increased electricity generating capacity from fossil fuelled power plants that are under consideration, planned, being constructed, or being commissioned.
The difference between the 2030 and 2012 PM2.5 values provides an estimate of the PM2.5 from growth in fossil fuel use in Africa over this time period and was used in the publication cited below to estimate the number of premature deaths that could be avoided by not adopting fossil fuels.
Authors
- Marais, Eloise ;
- Silvern, Rachel F. ;
- Vodonos, Alina ;
- Dupin, Eleonore ;
- Bockarie, Alfred S. ;
- Mickley, Loretta J. ;
- Schwartz, Joel
Gridded surface concentrations of fine particles or PM2.5 in Africa in 2012 and 2030 to determine the impact of increased adoption of fossil fuels on health. Surface concentrations were obtained with the GEOS-Chem chemical transport model simulated regionally over Africa at 0.5 degrees latitude by 0.667 degrees longitude.
The 2012 simulation uses updated estimates of emissions from fossil fuels used for vehicles and electricity generation. The 2030 simulation uses the same 2012 meteorology, but with updated PM2.5 precursor emissions that account for growth in vehicle ownership from 2012 to 2030 and increased electricity generating capacity from fossil fuelled power plants that are under consideration, planned, being constructed, or being commissioned.
The difference between the 2030 and 2012 PM2.5 values provides an estimate of the PM2.5 from growth in fossil fuel use in Africa over this time period and was used in the publication cited below to estimate the number of premature deaths that could be avoided by not adopting fossil fuels.
Authors
- Marais, Eloise ;
- Silvern, Rachel F. ;
- Vodonos, Alina ;
- Dupin, Eleonore ;
- Bockarie, Alfred S. ;
- Mickley, Loretta J. ;
- Schwartz, Joel
- Data acquisition form
2) CKD Database raw data. See materials and methods in the main paper for definitions. Upper row abbreviations: DOB: date of birth; B/J: Bedouin or Jewish origin; H/GRD/GN/OU/O: hypodysplasia/ genetic renal disease/ glomerulonephritis/ obstructive uropathy/ other; NB or CU: neurogenic bladder or congenital obstructive uropathy; HTN: hypertension; EPO Rx: erythropoietin therapy
Authors
- Landau, Daniel ;
- Schreiber, Ruth ;
- Kleinman, Anya ;
- Vodonos, Alina ;
- HannaHannah Shalev
- Data acquisition form
2) CKD Database raw data. See materials and methods in the main paper for definitions. Upper row abbreviations: DOB: date of birth; B/J: Bedouin or Jewish origin; H/GRD/GN/OU/O: hypodysplasia/ genetic renal disease/ glomerulonephritis/ obstructive uropathy/ other; NB or CU: neurogenic bladder or congenital obstructive uropathy; HTN: hypertension; EPO Rx: erythropoietin therapy
Authors
- Landau, Daniel ;
- Schreiber, Ruth ;
- Kleinman, Anya ;
- Vodonos, Alina ;
- HannaHannah Shalev