Automated Author ProfileShaluhiyah, Zahroh
0000-0003-2663-7918
Shaluhiyah, Zahroh
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: 2.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset was derived from publicly accessible search query data using Google Trends (https://trends.google.com), with Indonesia set as the geographical location and weekly search interest selected as the time scale. Six health behavior domains. Data were collected for the period of January 2019 to December 2023.The downloaded data provided weekly Relative Search Volume (RSV) scores, which were cleaned and reformatted using Microsoft Excel. A numerical week variable was added (Week 1 to Week 262) to match the input format required for Joinpoint Regression Software (version 5.0.2, developed by the US National Cancer Institute). These prepared files were then analyzed using Joinpoint Regression to identify significant changes in trends over time. The resulting graphs and outputs were generated directly from the Joinpoint software based on these formatted input files.
Authors
- Shaluhiyah, Zahroh ;
- Shabrina Arifia Qatrannada
The dataset was derived from publicly accessible search query data using Google Trends (https://trends.google.com), with Indonesia set as the geographical location and weekly search interest selected as the time scale. Six health behavior domains. Data were collected for the period of January 2019 to December 2023.The downloaded data provided weekly Relative Search Volume (RSV) scores, which were cleaned and reformatted using Microsoft Excel. A numerical week variable was added (Week 1 to Week 262) to match the input format required for Joinpoint Regression Software (version 5.0.2, developed by the US National Cancer Institute). These prepared files were then analyzed using Joinpoint Regression to identify significant changes in trends over time. The resulting graphs and outputs were generated directly from the Joinpoint software based on these formatted input files.
Authors
- Shaluhiyah, Zahroh ;
- Shabrina Arifia Qatrannada