Automated Author ProfileMohit Adhikari
Mohit Adhikari
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
This is a longitudinal project in resting-state fMRI across different ages of the zQ175DN HET mouse model of Huntington's disease and age-matched controls. This data set has been used in the following publications: 1. Vasilkovska T, Adhikari MH, Van Audekerke J, et al. Resting-state fMRI reveals longitudinal alterations in brain network connectivity in the zQ175DN mouse model of Huntington's disease. Neurobiol Dis. 2023;181:106095. doi:10.1016/j.nbd.2023.106095; 2. Adhikari MH, Vasilkovska T, Cachope R, et al., Longitudinal investigation of changes in resting-state co-activation patterns and their predictive ability in the zQ175 DN mouse model of Huntington's disease. bioRxiv 2022.10.09.511485; doi: https://doi.org/10.1101/2022.10.09.511485
Authors
- Mohit Adhikari
This is a longitudinal project in resting-state fMRI across different ages of the zQ175DN HET mouse model of Huntington's disease and age-matched controls. This data set has been used in the following publications: 1. Vasilkovska T, Adhikari MH, Van Audekerke J, et al. Resting-state fMRI reveals longitudinal alterations in brain network connectivity in the zQ175DN mouse model of Huntington's disease. Neurobiol Dis. 2023;181:106095. doi:10.1016/j.nbd.2023.106095; 2. Adhikari MH, Vasilkovska T, Cachope R, et al., Longitudinal investigation of changes in resting-state co-activation patterns and their predictive ability in the zQ175 DN mouse model of Huntington's disease. bioRxiv 2022.10.09.511485; doi: https://doi.org/10.1101/2022.10.09.511485
Authors
- Mohit Adhikari