Automated Author ProfileRawdah Whba
Rawdah Whba
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: 1.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains FTIR and NMR spectra for the successful purification of acrylonitrile (AN) monomer by a simple column technique which is related to our published paper with DOI 10.3390/polym13040660 1. FTIR_Non Pure AN_ Raw Data (Excel)2. FTIR_ Pure AN_ Raw Data (Excel)3. SigmaPlot FTIR_ Pure AN_ Raw Data4. SigmaPlot FTIR_ Non Pure AN_ Raw Data5. Pure AN_1H (1)6. Pure AN_1H (2)7. Pure AN_13C(1)8. Pure AN_13C (2)9. Non Pure AN_1H (1)10. Non Pure AN_1H (2)11. Non Pure AN_13C (1)12. Non Pure AN_13C (2)In fact, As known, purification is of the utmost significance in any chemistry process. Besides, eliminating impurities enhances the quality and standard of the product. The primary method for monomer purification, like acrylonitrile (AN), is the distillation technique. However, this technique is unsafe and hard to set up or handle. A straightforward, risk-free, and low-cost method like the column technique resolves these issues. Besides, the data will be helpful in numerous applications, especially in polymerization reactions that require the removal of inhibitors before the polymerization initiation process.
Authors
- Rawdah Whba
This dataset contains FTIR and NMR spectra for the successful purification of acrylonitrile (AN) monomer by a simple column technique which is related to our published paper with DOI 10.3390/polym13040660 1. FTIR_Non Pure AN_ Raw Data (Excel)2. FTIR_ Pure AN_ Raw Data (Excel)3. SigmaPlot FTIR_ Pure AN_ Raw Data4. SigmaPlot FTIR_ Non Pure AN_ Raw Data5. Pure AN_1H (1)6. Pure AN_1H (2)7. Pure AN_13C(1)8. Pure AN_13C (2)9. Non Pure AN_1H (1)10. Non Pure AN_1H (2)11. Non Pure AN_13C (1)12. Non Pure AN_13C (2)In fact, As known, purification is of the utmost significance in any chemistry process. Besides, eliminating impurities enhances the quality and standard of the product. The primary method for monomer purification, like acrylonitrile (AN), is the distillation technique. However, this technique is unsafe and hard to set up or handle. A straightforward, risk-free, and low-cost method like the column technique resolves these issues. Besides, the data will be helpful in numerous applications, especially in polymerization reactions that require the removal of inhibitors before the polymerization initiation process.
Authors
- Rawdah Whba