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Management of Arthropod Pathogen Vectors in North America: Minimizing Adverse Effects on Pollinators

Overview of attention for article published in Journal of Medical Entomology, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
policy
1 policy source
twitter
1 X user

Citations

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24 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Management of Arthropod Pathogen Vectors in North America: Minimizing Adverse Effects on Pollinators
Published in
Journal of Medical Entomology, August 2017
DOI 10.1093/jme/tjx146
Pubmed ID
Authors

Howard S Ginsberg, Timothy A Bargar, Michelle L Hladik, Charles Lubelczyk

Abstract

Tick and mosquito management is important to public health protection. At the same time, growing concerns about declines of pollinator species raise the question of whether vector control practices might affect pollinator populations. We report the results of a task force of the North American Pollinator Protection Campaign (NAPPC) that examined potential effects of vector management practices on pollinators, and how these programs could be adjusted to minimize negative effects on pollinating species. The main types of vector control practices that might affect pollinators are landscape manipulation, biocontrol, and pesticide applications. Some current practices already minimize effects of vector control on pollinators (e.g., short-lived pesticides and application-targeting technologies). Nontarget effects can be further diminished by taking pollinator protection into account in the planning stages of vector management programs. Effects of vector control on pollinator species often depend on specific local conditions (e.g., proximity of locations with abundant vectors to concentrations of floral resources), so planning is most effective when it includes collaborations of local vector management professionals with local experts on pollinators. Interventions can then be designed to avoid pollinators (e.g., targeting applications to avoid blooming times and pollinator nesting habitats), while still optimizing public health protection. Research on efficient targeting of interventions, and on effects on pollinators of emerging technologies, will help mitigate potential deleterious effects on pollinators in future management programs. In particular, models that can predict effects of integrated pest management on vector-borne pathogen transmission, along with effects on pollinator populations, would be useful for collaborative decision-making.

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 18%
Student > Ph. D. Student 10 16%
Researcher 9 15%
Student > Bachelor 7 11%
Student > Doctoral Student 5 8%
Other 5 8%
Unknown 15 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 34%
Environmental Science 9 15%
Biochemistry, Genetics and Molecular Biology 4 6%
Social Sciences 2 3%
Unspecified 1 2%
Other 4 6%
Unknown 21 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 March 2019.
All research outputs
#904,699
of 22,996,001 outputs
Outputs from Journal of Medical Entomology
#119
of 3,113 outputs
Outputs of similar age
#20,556
of 317,853 outputs
Outputs of similar age from Journal of Medical Entomology
#3
of 27 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,113 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 96% 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 317,853 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 93% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.