Automated Author ProfileGhosh, A K
Ghosh, A K
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: 2.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Manganese nodules from VA13/2 cruise (R/V Valdivia) were selected for a variety of morphologies and size. They were regrouped by size class and chemically analyzed in bulk. Mn, Fe, Ni, and Cu concentrations were determined by X-ray fluorescence spectroscopy following grinding and drying of the samples at 1l0°C for 24 hr. The elements Co, Zn, Al, Si, and Ba were analyzed in selected samples by atomic absorption spectrophotometry in Aachen. In addition, the percent lithogenous fraction of selected samples was determined following treatment of the sample by 25 percent HCl. Element composition in these nodules was then computed on a lithogenous-free basis to make allowance for the effects of variation in the silicate contents of the nodules.
Authors
- Glasby, Geoffrey P ;
- Friedrich, Günther ;
- Thijssen, Theo ;
- Plüger, W L ;
- Kunzendorf, Helmar ;
- Ghosh, A K ;
- Roonwal, G S