Automated Author ProfileKiboi, Milka
Kiboi, Milka
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: 3.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The data sets collected were for effects of plant extracts on mortality of flower bean thrips and secondary metabolites of various aqueous plant extracts. The mortality induced by the plant extracts on the flower bean thrips data was collected in a period of 7 days post application. The data was collected in both laboratory and screenhouse trials. Phytochemical analysis for both qualitative and quantitative analysis data was taken. Quantitative data emphasized on the presence or absence of the major phytochemicals. The data collected through LC-MS analysis of the plant extracts targeted to quantify the concentration of phenolic, terpenoids, and organosulfur compounds in the plant extracts.
Authors
- Munyoki, Nancy ;
- Muthomi, James ;
- Kilalo, Dora ;
- Bautze, David ;
- Kiboi, Milka ;
- Mwangi, Edwin ;
- Karanja, Edward ;
- Matheri, Felix ;
- Adamtey, Noah ;
- Akutse, Komivi ;
- Cheseto, Xavier
The data sets collected were for effects of plant extracts on mortality of flower bean thrips and secondary metabolites of various aqueous plant extracts. The mortality induced by the plant extracts on the flower bean thrips data was collected in a period of 7 days post application. The data was collected in both laboratory and screenhouse trials. Phytochemical analysis for both qualitative and quantitative analysis data was taken. Quantitative data emphasized on the presence or absence of the major phytochemicals. The data collected through LC-MS analysis of the plant extracts targeted to quantify the concentration of phenolic, terpenoids, and organosulfur compounds in the plant extracts.
Authors
- Munyoki, Nancy ;
- Muthomi, James ;
- Kilalo, Dora ;
- Bautze, David ;
- Kiboi, Milka ;
- Mwangi, Edwin ;
- Karanja, Edward ;
- Matheri, Felix ;
- Adamtey, Noah ;
- Akutse, Komivi ;
- Cheseto, Xavier