Automated Author ProfileBell, S.
Bell, S.
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: 2.3 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Background: Incidence of acute kidney injury (AKI), requiring dialysis, is on the rise globally and is associated with high mortality and morbidity. Aim: This study is aimed at examining the incidence of AKI requiring renal replacement therapy (RRT) in the Tayside region of Scotland and the impact of RRT for AKI on morbidity, mortality and length of hospital stay. Methods: One hundred seventy eight patients (>18 years of age) who received acute RRT between January 1, 2012 and December 31, 2012 were retrospectively selected for inclusion in the longitudinal cohort study. Incidence rate was calculated. Length of hospital stay, likely cause of AKI, renal recovery and mortality data were collected for a follow-up period of 1 year or until death. Chi-square test was used to compare the morbidity and mortality data between subgroups. RRT-free survival and time-until-event (death or RRT) analysis was performed using Kaplan-Meier plots. Cox-regression was used to examine the relationship between age, sex, diabetes and chronic kidney disease (CKD) on survival. Results: Incidence of AKI requiring RRT was 430 per million population per year. Median length of hospital stay was 21 days. In-patient mortality was 36%, mortality at 90 days was 44% and at 1 year 54%. Median time from start of RRT until death or chronic RRT was 90 days (95% CI 14-166). One-year cumulative RRT-free survival was 26% in the ward, 36% in high dependency units and 48% in intensive care unit subgroups. Diabetes, gender and CKD at baseline did not affect RRT-free survival in the cohort being studied. A quarter of the cohort regained full renal function and 15% of survivors were on a chronic dialysis programme at 1 year. Conclusions: This study gives a comprehensive summary of renal outcomes and mortality after a single episode of AKI requiring RRT. The findings of the study confirm that dialysis-dependent AKI is associated with increased length of hospital stay, high mortality and loss of renal function long term, emphasizing the importance of recognition, classification and prevention of AKI.
Authors
- T.J.W., Rennie ;
- Patton, A. ;
- Dreischulte, T. ;
- Bell, S.
Background: Incidence of acute kidney injury (AKI), requiring dialysis, is on the rise globally and is associated with high mortality and morbidity. Aim: This study is aimed at examining the incidence of AKI requiring renal replacement therapy (RRT) in the Tayside region of Scotland and the impact of RRT for AKI on morbidity, mortality and length of hospital stay. Methods: One hundred seventy eight patients (>18 years of age) who received acute RRT between January 1, 2012 and December 31, 2012 were retrospectively selected for inclusion in the longitudinal cohort study. Incidence rate was calculated. Length of hospital stay, likely cause of AKI, renal recovery and mortality data were collected for a follow-up period of 1 year or until death. Chi-square test was used to compare the morbidity and mortality data between subgroups. RRT-free survival and time-until-event (death or RRT) analysis was performed using Kaplan-Meier plots. Cox-regression was used to examine the relationship between age, sex, diabetes and chronic kidney disease (CKD) on survival. Results: Incidence of AKI requiring RRT was 430 per million population per year. Median length of hospital stay was 21 days. In-patient mortality was 36%, mortality at 90 days was 44% and at 1 year 54%. Median time from start of RRT until death or chronic RRT was 90 days (95% CI 14-166). One-year cumulative RRT-free survival was 26% in the ward, 36% in high dependency units and 48% in intensive care unit subgroups. Diabetes, gender and CKD at baseline did not affect RRT-free survival in the cohort being studied. A quarter of the cohort regained full renal function and 15% of survivors were on a chronic dialysis programme at 1 year. Conclusions: This study gives a comprehensive summary of renal outcomes and mortality after a single episode of AKI requiring RRT. The findings of the study confirm that dialysis-dependent AKI is associated with increased length of hospital stay, high mortality and loss of renal function long term, emphasizing the importance of recognition, classification and prevention of AKI.
Authors
- T.J.W., Rennie ;
- Patton, A. ;
- Dreischulte, T. ;
- Bell, S.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Parsons, S. ;
- Bell, S. ;
- Turner, N.J. ;
- Johnstone, R.
No description available
Authors
- Todd, I. ;
- Pollacco, D. ;
- Skillen, I. ;
- Bramich, D.M. ;
- Bell, S. ;
- Augusteijn, T.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Turner, N. ;
- Bell, S. ;
- Parsons, S. ;
- Messenger, D.