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Modulators of mercury risk to wildlife and humans in the context of rapid global change

Overview of attention for article published in Ambio, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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1 policy source
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26 X users

Citations

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236 Dimensions

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355 Mendeley
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Title
Modulators of mercury risk to wildlife and humans in the context of rapid global change
Published in
Ambio, January 2018
DOI 10.1007/s13280-017-1011-x
Pubmed ID
Authors

Collin A. Eagles-Smith, Ellen K. Silbergeld, Niladri Basu, Paco Bustamante, Fernando Diaz-Barriga, William A. Hopkins, Karen A. Kidd, Jennifer F. Nyland

Abstract

Environmental mercury (Hg) contamination is an urgent global health threat. The complexity of Hg in the environment can hinder accurate determination of ecological and human health risks, particularly within the context of the rapid global changes that are altering many ecological processes, socioeconomic patterns, and other factors like infectious disease incidence, which can affect Hg exposures and health outcomes. However, the success of global Hg-reduction efforts depends on accurate assessments of their effectiveness in reducing health risks. In this paper, we examine the role that key extrinsic and intrinsic drivers play on several aspects of Hg risk to humans and organisms in the environment. We do so within three key domains of ecological and human health risk. First, we examine how extrinsic global change drivers influence pathways of Hg bioaccumulation and biomagnification through food webs. Next, we describe how extrinsic socioeconomic drivers at a global scale, and intrinsic individual-level drivers, influence human Hg exposure. Finally, we address how the adverse health effects of Hg in humans and wildlife are modulated by a range of extrinsic and intrinsic drivers within the context of rapid global change. Incorporating components of these three domains into research and monitoring will facilitate a more holistic understanding of how ecological and societal drivers interact to influence Hg health risks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 355 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 355 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 16%
Student > Master 53 15%
Student > Bachelor 39 11%
Researcher 38 11%
Professor 18 5%
Other 55 15%
Unknown 95 27%
Readers by discipline Count As %
Environmental Science 85 24%
Agricultural and Biological Sciences 37 10%
Chemistry 19 5%
Medicine and Dentistry 13 4%
Biochemistry, Genetics and Molecular Biology 12 3%
Other 69 19%
Unknown 120 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 30 October 2018.
All research outputs
#1,682,754
of 23,130,383 outputs
Outputs from Ambio
#292
of 1,642 outputs
Outputs of similar age
#42,358
of 440,688 outputs
Outputs of similar age from Ambio
#10
of 30 outputs
Altmetric has tracked 23,130,383 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 1,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done well, scoring higher than 82% 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 440,688 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 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.