Automated Author ProfileXiao, Lei
McGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA.
Xiao, Lei
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: 3.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The diverse, largely Neotropical subtribe Euptychiina (Satyrinae, Nymphalidae) is widely regarded as one of the most taxonomically challenging groups among all butterflies. Over the last two decades, morphological and molecular studies have revealed widespread paraphyly and polyphyly among genera, and a comprehensive, robust phylogenetic hypothesis is needed to build a firm generic classification to support ongoing taxonomic revisions at the species level. Here, we generated a dataset which includes sequences for up to nine nuclear genes and the mitochondrial COI 'barcode' for a total of 1280 specimens representing 449 described and undescribed species of Euptychiina and 39 outgroups, resulting in the most complete phylogeny for the subtribe to date. In combination with a recently developed genomic backbone tree this dataset resulted in a topology with strong support for most branches.
Authors
- Espeland, Marianne ;
- Nakahara, Shinichi ;
- Zacca, Thamara ;
- Barbosa, Eduardo P. ;
- Huertas, Blanca ;
- Marín, Mario A. ;
- Lamas, Gerardo ;
- Benmesbah, Mohamed ;
- Brévignon, Christian ;
- Casagrande, Mirna M. ;
- Fåhraeus, Christer ;
- Grishin, Nick ;
- Kawahara, Akito Y. ;
- Mielke, Olaf H. H. ;
- Miller, Jacqueline Y. ;
- Nakamura, Ichiro ;
- Navas, Vanessa ;
- Patrusky, Brooke ;
- Pyrcz, Tomasz W. ;
- Richards, Lindsay ;
- Tan, Denise ;
- Tyler, Stephanie ;
- Vitoria, Angel ;
- Warren, Andrew D. ;
- Xiao, Lei ;
- Freitas, Andre V. L. ;
- Willmott, Keith R.
The diverse, largely Neotropical subtribe Euptychiina (Satyrinae, Nymphalidae) is widely regarded as one of the most taxonomically challenging groups among all butterflies. Over the last two decades, morphological and molecular studies have revealed widespread paraphyly and polyphyly among genera, and a comprehensive, robust phylogenetic hypothesis is needed to build a firm generic classification to support ongoing taxonomic revisions at the species level. Here, we generated a dataset which includes sequences for up to nine nuclear genes and the mitochondrial COI 'barcode' for a total of 1280 specimens representing 449 described and undescribed species of Euptychiina and 39 outgroups, resulting in the most complete phylogeny for the subtribe to date. In combination with a recently developed genomic backbone tree this dataset resulted in a topology with strong support for most branches.
Authors
- Espeland, Marianne ;
- Nakahara, Shinichi ;
- Zacca, Thamara ;
- Barbosa, Eduardo P. ;
- Huertas, Blanca ;
- Marín, Mario A. ;
- Lamas, Gerardo ;
- Benmesbah, Mohamed ;
- Brévignon, Christian ;
- Casagrande, Mirna M. ;
- Fåhraeus, Christer ;
- Grishin, Nick ;
- Kawahara, Akito Y. ;
- Mielke, Olaf H. H. ;
- Miller, Jacqueline Y. ;
- Nakamura, Ichiro ;
- Navas, Vanessa ;
- Patrusky, Brooke ;
- Pyrcz, Tomasz W. ;
- Richards, Lindsay ;
- Tan, Denise ;
- Tyler, Stephanie ;
- Vitoria, Angel ;
- Warren, Andrew D. ;
- Xiao, Lei ;
- Freitas, Andre V. L. ;
- Willmott, Keith R.