Automated Author ProfileMd. Fazley Rabbi
Md. Fazley Rabbi
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: 1.5 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplemental material, sj-xlsx-1-bbi-10.1177_11779322211011140 for In Silico Characterization of a Hypothetical Protein from Shigella dysenteriae ATCC 12039 Reveals a Pathogenesis-Related Protein of the Type-VI Secretion System by Md. Fazley Rabbi, Saiwda Asma Akter, Md. Jaimol Hasan and Al Amin in Bioinformatics and Biology Insights
Authors
- Md. Fazley Rabbi ;
- Saiwda Asma Akter ;
- Md. Jaimol Hasan ;
- Amin, Al
Supplemental material, sj-xlsx-2-bbi-10.1177_11779322211011140 for In Silico Characterization of a Hypothetical Protein from Shigella dysenteriae ATCC 12039 Reveals a Pathogenesis-Related Protein of the Type-VI Secretion System by Md. Fazley Rabbi, Saiwda Asma Akter, Md. Jaimol Hasan and Al Amin in Bioinformatics and Biology Insights
Authors
- Md. Fazley Rabbi ;
- Saiwda Asma Akter ;
- Md. Jaimol Hasan ;
- Amin, Al
Supplemental material, sj-xlsx-2-bbi-10.1177_11779322211011140 for In Silico Characterization of a Hypothetical Protein from Shigella dysenteriae ATCC 12039 Reveals a Pathogenesis-Related Protein of the Type-VI Secretion System by Md. Fazley Rabbi, Saiwda Asma Akter, Md. Jaimol Hasan and Al Amin in Bioinformatics and Biology Insights
Authors
- Md. Fazley Rabbi ;
- Saiwda Asma Akter ;
- Md. Jaimol Hasan ;
- Amin, Al
Supplemental material, sj-xlsx-1-bbi-10.1177_11779322211011140 for In Silico Characterization of a Hypothetical Protein from Shigella dysenteriae ATCC 12039 Reveals a Pathogenesis-Related Protein of the Type-VI Secretion System by Md. Fazley Rabbi, Saiwda Asma Akter, Md. Jaimol Hasan and Al Amin in Bioinformatics and Biology Insights
Authors
- Md. Fazley Rabbi ;
- Saiwda Asma Akter ;
- Md. Jaimol Hasan ;
- Amin, Al