Automated Author ProfileBuczek, Mateusz
Jagiellonian University
Buczek, Mateusz
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: 8.6 (sum of 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplementary Material 10.
Authors
- Nowak, Karol H. ;
- Hartop, Emily ;
- Prus-Frankowska, Monika ;
- Buczek, Mateusz ;
- Kolasa, Michał R. ;
- Roslin, Tomas ;
- Ovaskainen, Otso ;
- Łukasik, Piotr
Supplementary Material 7.
Authors
- Nowak, Karol H. ;
- Hartop, Emily ;
- Prus-Frankowska, Monika ;
- Buczek, Mateusz ;
- Kolasa, Michał R. ;
- Roslin, Tomas ;
- Ovaskainen, Otso ;
- Łukasik, Piotr
Supplementary Material 7.
Authors
- Nowak, Karol H. ;
- Hartop, Emily ;
- Prus-Frankowska, Monika ;
- Buczek, Mateusz ;
- Kolasa, Michał R. ;
- Roslin, Tomas ;
- Ovaskainen, Otso ;
- Łukasik, Piotr
Supplementary Material 8.
Authors
- Nowak, Karol H. ;
- Hartop, Emily ;
- Prus-Frankowska, Monika ;
- Buczek, Mateusz ;
- Kolasa, Michał R. ;
- Roslin, Tomas ;
- Ovaskainen, Otso ;
- Łukasik, Piotr
Supplementary Material 8.
Authors
- Nowak, Karol H. ;
- Hartop, Emily ;
- Prus-Frankowska, Monika ;
- Buczek, Mateusz ;
- Kolasa, Michał R. ;
- Roslin, Tomas ;
- Ovaskainen, Otso ;
- Łukasik, Piotr
Supplementary Material 9.
Authors
- Nowak, Karol H. ;
- Hartop, Emily ;
- Prus-Frankowska, Monika ;
- Buczek, Mateusz ;
- Kolasa, Michał R. ;
- Roslin, Tomas ;
- Ovaskainen, Otso ;
- Łukasik, Piotr
Supplementary Material 9.
Authors
- Nowak, Karol H. ;
- Hartop, Emily ;
- Prus-Frankowska, Monika ;
- Buczek, Mateusz ;
- Kolasa, Michał R. ;
- Roslin, Tomas ;
- Ovaskainen, Otso ;
- Łukasik, Piotr
Supplementary Material 10.
Authors
- Nowak, Karol H. ;
- Hartop, Emily ;
- Prus-Frankowska, Monika ;
- Buczek, Mateusz ;
- Kolasa, Michał R. ;
- Roslin, Tomas ;
- Ovaskainen, Otso ;
- Łukasik, Piotr
The Hamilton-Zuk hypothesis proposes that the genetic benefits of preferences for elaborated secondary sexual traits have their origins in the arms race between hosts and parasites, which maintains genetic variance in parasite resistance. Infection, in turn, can be reflected in the expression of costly sexual ornaments. However, the link between immune genes, infection, and the expression of secondary sexual traits has rarely been investigated. Here, we explored whether the presence and identity of functional variants (supertypes) of the highly polymorphic major histocompatibility complex (MHC), which is responsible for the recognition of parasites, predict the load of lung and gut parasites and antler development in the red deer (Cervus elaphus). While we found MHC supertypes to be associated with infection by a number of parasite species, including debilitating lung nematodes, we did not find support for the Hamilton-Zuk hypothesis. On the contrary, we found that lung nematode load was positively associated with antler development. We also found that the supertypes that were associated with resistance to certain parasites at the same time cause susceptibility to others. Such tradeoffs may undermine the potential genetic benefits of mate choice for resistant partners.
Authors
- Buczek, Mateusz ;
- Okarma, Henryk ;
- Demiaszkiewicz, Aleksander W. ;
- Radwan, Jacek