Automated Author ProfileHarada, Masafumi
Harada, Masafumi
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: 1.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data for Pseudomonas sp. strain SCT genes. The columns are as follows: contig accession number, locus_tag, length in amino acids (Laa), G+C content at the third codon position (GC3), binary number (1 or 0) indicating whether the gene is phage-like or not (Prophage), binary number (1 or 0) indicating whether the gene is strain-specific or not (Strain Specific), functional annotations by Prokka (gene and product names), annotations from the UniRef90 database, and annotations from the KEGG database (KEGG_Entry, KEGG_Definition, and KEGG_Pathway).
Authors
- Harada, Masafumi ;
- Ito, Kohei ;
- NAKAJIMA, Nobuyoshi ;
- YAMAMURA, Shigeki ;
- Tomita, Masaru ;
- Suzuki, Haruo ;
- Amachi, Seigo
Data for Pseudomonas sp. strain SCT genes. The columns are as follows: contig accession number, locus_tag, length in amino acids (Laa), G+C content at the third codon position (GC3), binary number (1 or 0) indicating whether the gene is phage-like or not (Prophage), binary number (1 or 0) indicating whether the gene is strain-specific or not (Strain Specific), functional annotations by Prokka (gene and product names), annotations from the UniRef90 database, and annotations from the KEGG database (KEGG_Entry, KEGG_Definition, and KEGG_Pathway).
Authors
- Harada, Masafumi ;
- Ito, Kohei ;
- NAKAJIMA, Nobuyoshi ;
- YAMAMURA, Shigeki ;
- Tomita, Masaru ;
- Suzuki, Haruo ;
- Amachi, Seigo