Automated Author ProfileBilalova, Z.M.
Bilalova, Z.M.
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: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Andreeva, T. (2011). "Studies in the field of tobacco control: what kind they are and what they are for? Examples from Kazan." Tobacco Control and Public Health in Eastern Europe 1(1): 1-10. The paper reviews approaches expected to be helpful for researchers involved in tobacco control studies. Classifications of studies are discussed starting from most general ones and related to any studies in the field of health sciences and ending with more specific for tobacco control. Part of the paper is devoted to structuring study data and building its design, including outcome measures, determinants, confounders, effect measure modifiers and mediators. Significant place is devoted to evaluative studies. Examples mostly come from the papers of Kazan authors presented at the first and second conferences ‘Health of Kazan-city dwellers and tobacco’ and other sources the author relies on.
Key words: tobacco control, study model, study design, evaluative studies, outcome measures, determinants, confounders, effect measure modifiers, mediators.
Authors
- Andreeva, Tatiana ;
- Kholodnova, D.V. ;
- Vasylyev, V.A. ;
- Perekhodko, M.K. ;
- Kamalova, V.L. ;
- Bilalova, Z.M. ;
- Sairanov, R.R. ;
- Ananjeva, Galina