Automated Author ProfileLopez, Erika
International Potato Center
Lopez, Erika
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: 1.3 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The effect of temperature on the development of immature stages and survival, as well as adult longevity and reproduction of the potato tuber moth parasitoid Copidosoma koehleri was studied in controlled incubator chambers at constant temperatures from 14º to 30ºC on its host Phthorimaea operculella. Data collected in the life-table studies under constant temperature conditions were arranged in incomplete life-table formats as required by ILCYM’s ‘model builder’ to process, analyze and develop the phenology model (development time and its variation, development rate, senescence, mortality, total oviposition and relative oviposition frequency). ILCYM’s ‘validation and simulation’ module was applied for simulating life-table parameters and for model validation. The best fit model was selected based on Akaike’s Information Criterion, a well-known goodness of fit indicator or other built in statistics (R2, Adjusted R2, MSE). The development of the Copidosoma koehleri phenology model and its life-table parameter simulation were conducted using the Insect Life Cycle Modeling (ILCYM) software version 3.0 developed by CIP. It is freely available at CIP’s website https://research.cip.cgiar.org/confluence/display/ilcym/
Authors
- Canedo, Veronica ;
- Carhuapoma, Pablo ;
- Lopez, Erika ;
- Kroschel, Jurgen
Description of the data: http://cipotato.org/riskatlasforafrica/7-1the-collection-of-temperature-dependent-life-tables-essential-input-data-for-developing-insect-phenology-models/
Authors
- Canedo, Veronica ;
- Carhuapoma, Pablo ;
- Lopez, Erika ;
- Kroschel, Jurgen
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Authors
- Canedo, Veronica ;
- Carhuapoma, Pablo ;
- Lopez, Erika ;
- Kroschel, Jurgen
:unav
Authors
- Canedo, Veronica ;
- Carhuapoma, Pablo ;
- Lopez, Erika ;
- Kroschel, Jurgen
:unav
Authors
- Canedo, Veronica ;
- Carhuapoma, Pablo ;
- Lopez, Erika ;
- Kroschel, Jurgen