Automated Author ProfileEloff, Jacobus N.
Eloff, Jacobus N.
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: 1.8 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The 16S rRNA gene sequence analysis of Bifidobacterium species reveals high interspecies sequence similarity in the range of 87.7–99.5%. This study illustrated the extent of superiority of a multigenic approach, involving protein-coding genes, in comparison to the 16S rRNA gene, to precisely delineate presumptive Bifidobacterium isolates obtained from probiotic milk beverages, culture collections and pharmaceutical probiotic preparations. Oligonucleotide pairs PurF-rev/PurF-uni; RpoC-uni/RpoC-rev; DnaB-uni/DnaB-rev; DnaG-uni/DnaG-rev; and ClpC-uni/ClpC-rev amplified housekeeping genes while 27F/1492R amplified the 16S rRNA gene of the presumptive bifidobacteria in a polymerase chain reaction. Sequences of 16S rRNA gene and some protein-coding genes effectively identified the isolates. Phylogenetic analysis together with concatenation showed that clpC, purF and dnaG genes had over 8-fold better discriminatory power than the 16S rRNA gene in discriminating between Bifidobacterium isolates. However, phylogenetic analysis involving dnaB and rpoC gene sequences or their concatenated trees showed discrepancies in clustering isolates with designated type strains.
Authors
- Nyanzi, Richard ;
- Jooste, Piet J. ;
- Eloff, Jacobus N.
The 16S rRNA gene sequence analysis of Bifidobacterium species reveals high interspecies sequence similarity in the range of 87.7–99.5%. This study illustrated the extent of superiority of a multigenic approach, involving protein-coding genes, in comparison to the 16S rRNA gene, to precisely delineate presumptive Bifidobacterium isolates obtained from probiotic milk beverages, culture collections and pharmaceutical probiotic preparations. Oligonucleotide pairs PurF-rev/PurF-uni; RpoC-uni/RpoC-rev; DnaB-uni/DnaB-rev; DnaG-uni/DnaG-rev; and ClpC-uni/ClpC-rev amplified housekeeping genes while 27F/1492R amplified the 16S rRNA gene of the presumptive bifidobacteria in a polymerase chain reaction. Sequences of 16S rRNA gene and some protein-coding genes effectively identified the isolates. Phylogenetic analysis together with concatenation showed that clpC, purF and dnaG genes had over 8-fold better discriminatory power than the 16S rRNA gene in discriminating between Bifidobacterium isolates. However, phylogenetic analysis involving dnaB and rpoC gene sequences or their concatenated trees showed discrepancies in clustering isolates with designated type strains.
Authors
- Nyanzi, Richard ;
- Jooste, Piet J. ;
- Eloff, Jacobus N.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Fouotsa, Hugues ;
- Lannang, Alain Meli ;
- Dzoyem, Jean Paul ;
- Tatsimo, Simplice J. N. ;
- Neumann, Beate ;
- Mbazoa, Celine Djama ;
- Razakarivony, Andrianambinina Andriamarolahy ;
- Nkengfack, Augustin Ephrem ;
- Eloff, Jacobus N. ;
- Sewald, Norbert