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Yellow fever impact on brown howler monkeys (Alouatta guariba clamitans) in Argentina: a metamodelling approach based on population viability analysis and epidemiological dynamics

Overview of attention for article published in Memórias do Instituto Oswaldo Cruz, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 1,502)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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2 news outlets
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1 X user

Citations

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42 Dimensions

Readers on

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155 Mendeley
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Title
Yellow fever impact on brown howler monkeys (Alouatta guariba clamitans) in Argentina: a metamodelling approach based on population viability analysis and epidemiological dynamics
Published in
Memórias do Instituto Oswaldo Cruz, October 2015
DOI 10.1590/0074-02760150075
Pubmed ID
Authors

Eduardo S Moreno, Ilaria Agostini, Ingrid Holzmann, Mario S Di Bitetti, Luciana I Oklander, Martín M Kowalewski, Pablo M Beldomenico, Silvina Goenaga, Mariela Martínez, Eduardo Lestani, Arnaud LJ Desbiez, Philip Miller

Abstract

In South America, yellow fever (YF) is an established infectious disease that has been identified outside of its traditional endemic areas, affecting human and nonhuman primate (NHP) populations. In the epidemics that occurred in Argentina between 2007-2009, several outbreaks affecting humans and howler monkeys (Alouatta spp) were reported, highlighting the importance of this disease in the context of conservation medicine and public health policies. Considering the lack of information about YF dynamics in New World NHP, our main goal was to apply modelling tools to better understand YF transmission dynamics among endangered brown howler monkey (Alouatta guariba clamitans) populations in northeastern Argentina. Two complementary modelling tools were used to evaluate brown howler population dynamics in the presence of the disease: Vortex, a stochastic demographic simulation model, and Outbreak, a stochastic disease epidemiology simulation. The baseline model of YF disease epidemiology predicted a very high probability of population decline over the next 100 years. We believe the modelling approach discussed here is a reasonable description of the disease and its effects on the howler monkey population and can be useful to support evidence-based decision-making to guide actions at a regional level.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Kenya 1 <1%
Brazil 1 <1%
Unknown 152 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 17%
Student > Bachelor 25 16%
Student > Ph. D. Student 24 15%
Researcher 17 11%
Student > Doctoral Student 11 7%
Other 20 13%
Unknown 31 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 37%
Environmental Science 17 11%
Biochemistry, Genetics and Molecular Biology 12 8%
Veterinary Science and Veterinary Medicine 9 6%
Medicine and Dentistry 7 5%
Other 15 10%
Unknown 38 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 October 2021.
All research outputs
#1,980,875
of 25,373,627 outputs
Outputs from Memórias do Instituto Oswaldo Cruz
#37
of 1,502 outputs
Outputs of similar age
#28,233
of 294,824 outputs
Outputs of similar age from Memórias do Instituto Oswaldo Cruz
#1
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,502 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 97% of its peers.
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 294,824 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.