Automated Author ProfileGreenacre, Michael
Department of Economics and Business, Universitat Pompeu Fabra & Barcelona Graduate School of Economics; Barcelona, Spain. Faculty of Biosciences, Fisheries and Economics, University of Tromsø; Norway
Greenacre, Michael
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: 0.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Here we investigate the effects of extensive sociality and mobility on the oral microbiome of 138 Agta hunter-gatherers from the Philippines. Our comparisons of microbiome composition showed that the Agta are more similar to Central African Bayaka hunter-gatherers than to neighbouring farmers. We also defined the Agta social microbiome as a set of 137 oral bacteria (only 7% of 1980 amplicon sequence variants) significantly influenced by social contact (quantified through wireless sensors of short-range interactions). We show that large interaction networks including strong links between close kin, spouses, and even unrelated friends, can significantly predict bacterial transmission networks across Agta camps. Finally, we show that more central individuals to social networks are also bacterial supersharers. We conclude that hunter-gatherer social microbiomes are predominantly pathogenic and were shaped by evolutionary tradeoffs between extensive sociality and disease spread.
Authors
- Musciotto, Federico ;
- Dobon, Begoña ;
- Greenacre, Michael ;
- Mira, Alex ;
- Chaudhary, Nikhil ;
- Salali, Guz Deniz ;
- Gerbault, Pascale ;
- Schlaepfer, Rodoplh ;
- Astete, Leonora H. ;
- Ngales, Marilyn ;
- Gomez-Gardenes, Jesus ;
- Latora, Vito ;
- Battiston, Federico ;
- Bertranpetit, Jaume ;
- Vinicius, Lucio ;
- Migliano, Andrea Bamberg
Here we investigate the effects of extensive sociality and mobility on the oral microbiome of 138 Agta hunter-gatherers from the Philippines. Our comparisons of microbiome composition showed that the Agta are more similar to Central African Bayaka hunter-gatherers than to neighbouring farmers. We also defined the Agta social microbiome as a set of 137 oral bacteria (only 7% of 1980 amplicon sequence variants) significantly influenced by social contact (quantified through wireless sensors of short-range interactions). We show that large interaction networks including strong links between close kin, spouses, and even unrelated friends, can significantly predict bacterial transmission networks across Agta camps. Finally, we show that more central individuals to social networks are also bacterial supersharers. We conclude that hunter-gatherer social microbiomes are predominantly pathogenic and were shaped by evolutionary tradeoffs between extensive sociality and disease spread.
Authors
- Musciotto, Federico ;
- Dobon, Begoña ;
- Greenacre, Michael ;
- Mira, Alex ;
- Chaudhary, Nikhil ;
- Salali, Guz Deniz ;
- Gerbault, Pascale ;
- Schlaepfer, Rodoplh ;
- Astete, Leonora H. ;
- Ngales, Marilyn ;
- Gomez-Gardenes, Jesus ;
- Latora, Vito ;
- Battiston, Federico ;
- Bertranpetit, Jaume ;
- Vinicius, Lucio ;
- Migliano, Andrea Bamberg