Automated Author ProfileTully, Thomas
Tully, Thomas
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: 7.6 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains the digitized treatments in Plazi based on the original journal article Shayanmehr, Masoumeh, Yoosefi Lafooraki, Elham, Tully, Thomas, Dhaese, Cyrille, Ghajar Sepanlo, Mehdi (2024): New records of springtails (Hexapoda, Collembola) for Iran from the Bula Hyrcanian forest. Journal of Insect Biodiversity and Systematics 10 (1): 31-42, DOI: 10.61186/jibs.10.1.31, URL: https://doi.org/10.61186/jibs.10.1.31
Authors
- Shayanmehr, Masoumeh ;
- Lafooraki, Elham Yoosefi ;
- Tully, Thomas ;
- Dhaese, Cyrille ;
- Sepanlo, Mehdi Ghajar
Story collected by Madge Venton, a student at Killashandra (2.) school (Killashandra, Co. Cavan) from informant Thomas Tully.
Authors
- Patton, Laura ;
- Venton, Madge ;
- Tully, Thomas
No description available
Authors
- Tully, Thomas ;
- Potapov, Mikhail
Competition is a major regulatory factor in population and community dynamics. Its effects can be either direct in interference competition or indirect in exploitative competition. The impact of exploitative competition on population dynamics has been extensively studied from empirical and theoretical points of view, but the consequences of interference competition remain poorly understood. Here we study the effect of different levels of intraspecific interference competition on the dynamics of a size-structured population. We study a physiologically structured population model accounting for direct individual interactions, allowing for a gradient from exploitative competition to interference competition. We parameterize our model with data on experimental populations of the collembolan Folsomia candida. Our model predicts contrasting dynamics, depending on the level of interference competition. With low interference, our model predicts juvenile-driven generation cycles, but interference competition tends to dampen these cycles. With intermediate interference, giant individuals emerge and start dominating the population. Finally, strong interference competition causes a novel kind of adult-driven generation cycles referred to as interference-induced cycles. Our results shed new light on the interpretation of the size-structured dynamics of natural and experimental populations.
Authors
- Le Bourlot, Vincent ;
- Tully, Thomas ;
- Claessen, David
No description available
Authors
- Tully, Thomas ;
- Claessen, David ;
- Le Bourlot, Vincent
No description available
Authors
- Tully, Thomas ;
- Claessen, David ;
- Le Bourlot, Vincent
No description available
Authors
- Tully, Thomas ;
- Claessen, David ;
- Le Bourlot, Vincent