Automated Author ProfileJiajia Xu
Jiajia Xu
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: 26.3 (sum of 36 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 9. Predicted target genes of both known and novel miRNAs for maize and rice. Potential targets for identified known and candidate novel miRNAs for both maize and rice were predicted by psRNATarget respectively. Aligned sequences and their genomic coordinates were also provided.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 13. GO enrichment analysis for targets of conserved miRNA families that showed similar expression patterns between maize and rice. Enriched GO labels were marked in bold.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 8. Family-wise expression profiles of 28 conserved miRNA families in maize and rice. Expression level of a certain miRNA family was calculated by adding TPQ values of all members belonging to this family.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 5. TPQ values of potential candidate novel miRNAs for maize and rice.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 5. TPQ values of potential candidate novel miRNAs for maize and rice.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 8. Family-wise expression profiles of 28 conserved miRNA families in maize and rice. Expression level of a certain miRNA family was calculated by adding TPQ values of all members belonging to this family.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 13. GO enrichment analysis for targets of conserved miRNA families that showed similar expression patterns between maize and rice. Enriched GO labels were marked in bold.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 9. Predicted target genes of both known and novel miRNAs for maize and rice. Potential targets for identified known and candidate novel miRNAs for both maize and rice were predicted by psRNATarget respectively. Aligned sequences and their genomic coordinates were also provided.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 3. Genomic loci of precursors of potential candidate novel miRNAs for maize and rice. These are all outputs without filtering from miRDeep2 pipeline parameterized with monocot specific parameters.
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang
Additional file 16. GO enrichment analysis for targets of miR156 in maize and rice
Authors
- Jiajia Xu ;
- Yuanyuan Li ;
- Yaling Wang ;
- Xinyu Liu ;
- Zhu, Xin-Guang