Automated Author ProfileValluri, Vijaya Lakshmi
Valluri, Vijaya Lakshmi
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: 23.5 (sum of 26 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains key characteristics about the data described in the Data Descriptor 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India.
Contents:
1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.
Authors
- Nitin Bayal ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Patole Milind ;
- Valluri, Vijaya Lakshmi ;
- Suryawanshi, Rohini ;
- Mande, Sharmila S. ;
- Mande, Shekhar
This dataset contains key characteristics about the data described in the Data Descriptor 16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India.
Contents:
1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.
Authors
- Nitin Bayal ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Patole Milind ;
- Valluri, Vijaya Lakshmi ;
- Suryawanshi, Rohini ;
- Mande, Sharmila S. ;
- Mande, Shekhar
Genus level microbial abundance data set obtained using RDP classifier v2.12 for Leprosy Microbiome Study. The dataset contains 89 samples and 1016 unique genera.
Authors
- Valluri, Vijaya Lakshmi ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Mande, Shekhar C ;
- Mande, Sharmila S. ;
- Patole Milind ;
- Suryawanshi, Rohini ;
- Nitin Bayal
Family level microbial abundance data set obtained using RDP classifier v2.12 for Leprosy Microbiome Study. The dataset contains 89 samples and 235 unique families.
Authors
- Valluri, Vijaya Lakshmi ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Mande, Shekhar C ;
- Mande, Sharmila S. ;
- Patole Milind ;
- Suryawanshi, Rohini ;
- Nitin Bayal
Order level microbial abundance data set obtained using RDP classifier v2.12 for Leprosy Microbiome Study. The dataset contains 89 samples and 90 unique orders.
Authors
- Valluri, Vijaya Lakshmi ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Mande, Shekhar C ;
- Mande, Sharmila S. ;
- Patole Milind ;
- Suryawanshi, Rohini ;
- Nitin Bayal
Class level microbial abundance data set obtained using RDP classifier v2.12 for Leprosy Microbiome Study. The dataset contains 89 samples and 55 unique classes.
Authors
- Valluri, Vijaya Lakshmi ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Mande, Shekhar C ;
- Mande, Sharmila S. ;
- Patole Milind ;
- Suryawanshi, Rohini ;
- Nitin Bayal
Phylum level microbial abundance data set obtained using RDP classifier v2.12 for Leprosy Microbiome Study. The dataset contains 89 samples and 25 unique phyla.
Authors
- Valluri, Vijaya Lakshmi ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Mande, Shekhar C ;
- Mande, Sharmila S. ;
- Patole Milind ;
- Suryawanshi, Rohini ;
- Nitin Bayal
OTU level microbial abundance data set obtained using vsearch v2.8.0_linux_x86_64 for Leprosy Microbiome Study. The dataset contains 89 samples and 28321 unique OTUs. A total of 161,695 OTUs were identified using vsearch based de-novo classification, which were filtered to 28,321 unique OTUs by omitting the population level singletons.
Authors
- Valluri, Vijaya Lakshmi ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Mande, Shekhar C ;
- Mande, Sharmila S. ;
- Patole Milind ;
- Suryawanshi, Rohini ;
- Nitin Bayal
OTU level microbial abundance data set obtained using vsearch v2.8.0_linux_x86_64 for Leprosy Microbiome Study. The dataset contains 89 samples and 161,695 unique OTUs.
Authors
- Valluri, Vijaya Lakshmi ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Mande, Shekhar C ;
- Mande, Sharmila S. ;
- Patole Milind ;
- Suryawanshi, Rohini ;
- Nitin Bayal
Comprehensive metadata information table corresponding to all collected samples in the study.
Authors
- Mande, Sharmila S. ;
- Patole Milind ;
- Suryawanshi, Rohini ;
- Nitin Bayal ;
- Valluri, Vijaya Lakshmi ;
- Nagpal, Sunil ;
- Haque, Mohammed Monzoorul ;
- Mande, Shekhar C