↓ Skip to main content

Sex-biased differences in the effects of host individual, host population and environmental traits driving tick parasitism in red deer

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, January 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
71 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Sex-biased differences in the effects of host individual, host population and environmental traits driving tick parasitism in red deer
Published in
Frontiers in Cellular and Infection Microbiology, January 2013
DOI 10.3389/fcimb.2013.00023
Pubmed ID
Authors

Francisco Ruiz-Fons, Pelayo Acevedo, Raquel Sobrino, Joaquín Vicente, Yolanda Fierro, Isabel G. Fernández-de-Mera

Abstract

The interactions between host individual, host population, and environmental factors modulate parasite abundance in a given host population. Since adult exophilic ticks are highly aggregated in red deer (Cervus elaphus) and this ungulate exhibits significant sexual size dimorphism, life history traits and segregation, we hypothesized that tick parasitism on males and hinds would be differentially influenced by each of these factors. To test the hypothesis, ticks from 306 red deer-182 males and 124 females-were collected during 7 years in a red deer population in south-central Spain. By using generalized linear models, with a negative binomial error distribution and a logarithmic link function, we modeled tick abundance on deer with 20 potential predictors. Three models were developed: one for red deer males, another for hinds, and one combining data for males and females and including "sex" as factor. Our rationale was that if tick burdens on males and hinds relate to the explanatory factors in a differential way, it is not possible to precisely and accurately predict the tick burden on one sex using the model fitted on the other sex, or with the model that combines data from both sexes. Our results showed that deer males were the primary target for ticks, the weight of each factor differed between sexes, and each sex specific model was not able to accurately predict burdens on the animals of the other sex. That is, results support for sex-biased differences. The higher weight of host individual and population factors in the model for males show that intrinsic deer factors more strongly explain tick burden than environmental host-seeking tick abundance. In contrast, environmental variables predominated in the models explaining tick burdens in hinds.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 18%
Student > Master 10 14%
Student > Ph. D. Student 8 11%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 20 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 31%
Veterinary Science and Veterinary Medicine 11 15%
Biochemistry, Genetics and Molecular Biology 3 4%
Environmental Science 2 3%
Arts and Humanities 1 1%
Other 6 8%
Unknown 26 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 June 2013.
All research outputs
#20,195,877
of 22,713,403 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#5,881
of 6,309 outputs
Outputs of similar age
#248,765
of 280,743 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#77
of 92 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,309 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% 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 280,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.