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Validation of the nickel biotic ligand model for locally relevant species in Australian freshwaters

Overview of attention for article published in Environmental Toxicology & Chemistry, August 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Validation of the nickel biotic ligand model for locally relevant species in Australian freshwaters
Published in
Environmental Toxicology & Chemistry, August 2018
DOI 10.1002/etc.4213
Pubmed ID
Authors

Adam Peters, Graham Merrington, Christian Schlekat, Karel De Schamphelaere, Jennifer Stauber, Graeme Batley, Andrew Harford, Rick van Dam, Ceiwen Pease, Tom Mooney, Michael Warne, Chris Hickey, Peter Glazebrook, John Chapman, Ross Smith, Rick Krassoi

Abstract

Australian freshwaters have relatively low water hardness and different calcium (Ca) to magnesium (Mg) ratios compared with those in Europe. The hardness values of a substantial proportion of Australian freshwaters fall below the application boundary of the existing European nickel biotic ligand models (Ni BLMs) of 2 mg Ca/L. Toxicity testing was undertaken using Hydra viridissima to assess the predictive ability of the existing Ni BLM for this species in extremely soft waters. This testing revealed an increased competitive effect of Ca and Mg with Ni for binding to the biotic ligand in soft water (<10 mg CaCO3 /L) than at higher water hardness. Modifications were made to the Ni BLM by increasing the binding constants for Ca and Mg at the biotic ligand to account for softer waters encountered in Australia and the more important competitive effect of Ca and Mg on Ni toxicity. To validate the modified Ni BLM, ecotoxicity testing was performed on 5 Australian test species in 5 different natural Australian waters. Overall, no single water chemistry parameter was able to indicate the trends in toxicity to all of the test species. The modified Ni BLMs were able to predict the toxicity of Ni to the test species in the validation studies in natural waters better than the existing Ni BLMs. The present study suggests that the overarching mechanisms defining Ni bioavailability to freshwater species are globally similar and that Ni BLMs can be used in all freshwater systems with minor modifications. Environ Toxicol Chem 2018;37:2566-2574. © 2018 SETAC.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Professor 5 25%
Other 3 15%
Student > Ph. D. Student 3 15%
Student > Bachelor 2 10%
Researcher 2 10%
Other 0 0%
Unknown 5 25%
Readers by discipline Count As %
Environmental Science 12 60%
Agricultural and Biological Sciences 1 5%
Chemistry 1 5%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 September 2018.
All research outputs
#7,747,934
of 25,461,852 outputs
Outputs from Environmental Toxicology & Chemistry
#1,511
of 5,704 outputs
Outputs of similar age
#123,983
of 344,419 outputs
Outputs of similar age from Environmental Toxicology & Chemistry
#9
of 31 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 5,704 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 73% 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 344,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 31 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 70% of its contemporaries.