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Inter-comparison of dynamic models for radionuclide transfer to marine biota in a Fukushima accident scenario

Overview of attention for article published in Journal of Environmental Radioactivity, March 2016
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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5 tweeters

Citations

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40 Dimensions

Readers on

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57 Mendeley
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Title
Inter-comparison of dynamic models for radionuclide transfer to marine biota in a Fukushima accident scenario
Published in
Journal of Environmental Radioactivity, March 2016
DOI 10.1016/j.jenvrad.2015.12.006
Pubmed ID
Authors

J. Vives i Batlle, N.A. Beresford, K. Beaugelin-Seiller, R. Bezhenar, J. Brown, J.-J. Cheng, M. Ćujić, S. Dragović, C. Duffa, B. Fiévet, A. Hosseini, K.T. Jung, S. Kamboj, D.-K. Keum, A. Kryshev, D. LePoire, V. Maderich, B.-I. Min, R. Periáñez, T. Sazykina, K.-S. Suh, C. Yu, C. Wang, R. Heling

Abstract

We report an inter-comparison of eight models designed to predict the radiological exposure of radionuclides in marine biota. The models were required to simulate dynamically the uptake and turnover of radionuclides by marine organisms. Model predictions of radionuclide uptake and turnover using kinetic calculations based on biological half-life (TB1/2) and/or more complex metabolic modelling approaches were used to predict activity concentrations and, consequently, dose rates of (90)Sr, (131)I and (137)Cs to fish, crustaceans, macroalgae and molluscs under circumstances where the water concentrations are changing with time. For comparison, the ERICA Tool, a model commonly used in environmental assessment, and which uses equilibrium concentration ratios, was also used. As input to the models we used hydrodynamic forecasts of water and sediment activity concentrations using a simulated scenario reflecting the Fukushima accident releases. Although model variability is important, the intercomparison gives logical results, in that the dynamic models predict consistently a pattern of delayed rise of activity concentration in biota and slow decline instead of the instantaneous equilibrium with the activity concentration in seawater predicted by the ERICA Tool. The differences between ERICA and the dynamic models increase the shorter the TB1/2 becomes; however, there is significant variability between models, underpinned by parameter and methodological differences between them. The need to validate the dynamic models used in this intercomparison has been highlighted, particularly in regards to optimisation of the model biokinetic parameters.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 30%
Other 5 9%
Student > Ph. D. Student 5 9%
Student > Master 5 9%
Student > Bachelor 4 7%
Other 10 18%
Unknown 11 19%
Readers by discipline Count As %
Environmental Science 25 44%
Agricultural and Biological Sciences 4 7%
Engineering 3 5%
Chemistry 3 5%
Earth and Planetary Sciences 2 4%
Other 6 11%
Unknown 14 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 October 2021.
All research outputs
#12,536,683
of 22,202,663 outputs
Outputs from Journal of Environmental Radioactivity
#745
of 1,413 outputs
Outputs of similar age
#180,499
of 406,616 outputs
Outputs of similar age from Journal of Environmental Radioactivity
#21
of 45 outputs
Altmetric has tracked 22,202,663 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 46th percentile – i.e., 46% 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 406,616 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 55% of its contemporaries.
We're also able to compare this research output to 45 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 53% of its contemporaries.