Automated Author ProfilePrikhodchenko, Tatyana
Prikhodchenko, Tatyana
Current S-Index
0.7
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.7
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
15.4%
Average FAIR Score per dataset
Total Citations
1
Total citations to the author's datasets
Total Mentions
0
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: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Balakina, Anastasia ;
- Prikhodchenko, Tatyana ;
- Amozova, Vera ;
- Stupina, Tatyana ;
- Mumyatova, Victoria ;
- Neganova, Margarita ;
- Yakushev, Ilya ;
- Kornev, Alexey ;
- Gadomsky, Svyatoslav ;
- Fedorov, Boris ;
- Mishchenko, Denis
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc286y4lJanuary 2021