Automated Author ProfileGravier, Julie
Gravier, Julie
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: 2.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Introduction: Kidney stones (KSs) are associated with hematuria and renal failure and pose a significant clinical and public health concern. Diabetes is associated with a higher risk of KSs. In addition, α-Klotho (Klotho), as a novel anti-aging protein, is associated with kidney disease, diabetes, and complications and may participate in the pathological mechanism of KSs. However, studies that used large population-based database research are limited. Therefore, this study aimed to investigate whether or not KS prevalence is associated with serum Klotho levels in diabetic adults in the United States. Methods: This nationally representative cross-sectional study used data on diabetic adults in the US aged 40–79 years from the National Health and Nutrition Examination Survey 2007–2016 cycles. Multivariate logistic regression models were used to calculate the association between Klotho and KS. Restricted cubic splines were used to further test for linearity and explore the shape of the dose-response association. Moreover, we performed stratified and interaction analyses to see if the relationship was stable in different subgroups. Results: Among the 3,537 diabetic patients included in this study (mean age of 61.4 years, consisting of 51.3% males), 543 participants (15.4%) suffered from KS. In the fully adjusted model, Klotho was negatively associated with KS (OR = 0.72; 95% CI: 0.54–0.96; p = 0.027). A negative relationship was observed between the occurrence of KS and Klotho (nonlinear: p = 0.560). Some differences in the association between Klotho and KS were found in stratified analyses, however, these differences lacked statistical significance. Conclusions: Serum Klotho was negatively associated with the incidence of KS, when ln-transformed Klotho concentration increased by 1 unit, the risk of KS was 28% lower.
Authors
- Gravier, Julie ;
- f28ca9c3-c31a-4950-a23a-dd7818baf7bd, John
Jeu de données extrait de la base de données SHAUN, construite pour l'étude de l'évolution urbaine de la ville de Noyon (Oise, France). Il s'agit d'un tableau de contingence du nombre d'entités urbaines (ex : cimetière, église, atelier artisanal, etc.) qui existent par fonction urbaine sur le temps long de 2000 ans.- lignes : pas de temps chronologique arbitraire de 50 ans ([1;50], [51;100], [101;150]... jusqu'au début du 21e s.),
- colonnes : fonctions urbaines définies selon l'adaptation du thésaurus du Centre National d'Archéologie Urbaine
Authors
- Gravier, Julie