Automated Author ProfileAcosta, Juan Manuel
Instituto de Botanica Darwinion
Acosta, Juan Manuel
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: 4.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Gomphrena meyeniana is an extremely variable species from the Andean highlands, which has attracted the attention of many botanists because it is the world’s highest-elevation C4 eudicot and because of its wide morphological variability. It has the typical high-Andean plant morphology, with small leaves tightly clustered on a thick rootstock. The large range of morphological variation within this species, coupled with the varying opinions on the existence of several species or infra-specific taxa, and the lack of molecular information has made the clarification of the G. meyeniana complex a challenge. Our approach was to perform a broad spectrum molecular sampling to identify its phylogenetic position within Gomphrena genus and to perform a multivariate analysis to objectively differentiate taxa based on morphological characters. The ITS and trnL-F regions were analyzed individually and combined using Bayesian inference and maximum parsimony methods. To analyze the morphological characters we performed a clustering method (partitioning around medoids with the Gower’s dissimilarity algorithm). The molecular analyses supported the monophyly of the G. meyeniana complex but did not support segregation into varieties. The morphological analyses gathered the infra-specific taxa into only three varieties that can be easily distinguished through three simple characters: the presence of leaves on the flowering shoot, the habit of the flowering shoot, and the pilosity of the tepals. The varieties of G. meyeniana accepted here are var. meyeniana, var. caulescens, and var. flaccida. A dichotomous key to identify the infra-specific taxa is here presented and illustrated. The varieties tucumanensis, and conwayi were synonymized with var. caulescens, and var. meyeniana respectively.
Authors
- Bena, María Julia ;
- Ortuño, Teresa ;
- Acosta, Juan Manuel
The recently resurrected monotypic genus Monrosia (Polygalaceae) is endemic to the Argentinian provinces of Catamarca to San Juan in the southern Andes. We here describe and illustrate Monrosia sanjuanensis, a new species endemic to the Province of San Juan and the second species of the genus, and revise the genus. Monrosia and its two species are described and analysed in a phylogenetic context, using nuclear and chloroplast DNA sequences. A distribution map, illustration, photos of the morphological structures of the two species, and taxonomic key are provided. We designate a lectotype for the name M. pterolopha.
Authors
- Martinez, Agustina ;
- Acosta, Juan Manuel ;
- Mota, Michelle ;
- Barea Pastore, Jose Floriano