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Sex-biased infections scale to population impacts for an emerging wildlife disease

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, March 2023
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

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10 X users
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1 peer review site

Citations

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6 Dimensions

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16 Mendeley
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Title
Sex-biased infections scale to population impacts for an emerging wildlife disease
Published in
Proceedings of the Royal Society B: Biological Sciences, March 2023
DOI 10.1098/rspb.2023.0040
Pubmed ID
Authors

Macy J. Kailing, Joseph R. Hoyt, J. Paul White, Heather M. Kaarakka, Jennifer A. Redell, Ariel E. Leon, Tonie E. Rocke, John E. DePue, William H. Scullon, Katy L. Parise, Jeffrey T. Foster, A. Marm Kilpatrick, Kate E. Langwig

Abstract

Demographic factors are fundamental in shaping infectious disease dynamics. Aspects of populations that create structure, like age and sex, can affect patterns of transmission, infection intensity and population outcomes. However, studies rarely link these processes from individual to population-scale effects. Moreover, the mechanisms underlying demographic differences in disease are frequently unclear. Here, we explore sex-biased infections for a multi-host fungal disease of bats, white-nose syndrome, and link disease-associated mortality between sexes, the distortion of sex ratios and the potential mechanisms underlying sex differences in infection. We collected data on host traits, infection intensity and survival of five bat species at 42 sites across seven years. We found females were more infected than males for all five species. Females also had lower apparent survival over winter and accounted for a smaller proportion of populations over time. Notably, female-biased infections were evident by early hibernation and likely driven by sex-based differences in autumn mating behaviour. Male bats were more active during autumn which likely reduced replication of the cool-growing fungus. Higher disease impacts in female bats may have cascading effects on bat populations beyond the hibernation season by limiting recruitment and increasing the risk of Allee effects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 38%
Student > Ph. D. Student 4 25%
Unspecified 1 6%
Student > Postgraduate 1 6%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 44%
Environmental Science 3 19%
Biochemistry, Genetics and Molecular Biology 1 6%
Unspecified 1 6%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 May 2023.
All research outputs
#5,341,625
of 26,171,302 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#6,702
of 11,568 outputs
Outputs of similar age
#101,271
of 429,277 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#91
of 131 outputs
Altmetric has tracked 26,171,302 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 429,277 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.