↓ Skip to main content

Estimating the biological half-life for radionuclides in homoeothermic vertebrates: a simplified allometric approach

Overview of attention for article published in Radiation and Environmental Biophysics, July 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
9 Mendeley
Title
Estimating the biological half-life for radionuclides in homoeothermic vertebrates: a simplified allometric approach
Published in
Radiation and Environmental Biophysics, July 2013
DOI 10.1007/s00411-013-0481-x
Pubmed ID
Authors

N. A. Beresford, J. Vives i Batlle

Abstract

The application of allometric, or mass-dependent, relationships within radioecology has increased with the evolution of models to predict the exposure of organisms other than man. Allometry presents a method of addressing the lack of empirical data on radionuclide transfer and metabolism for the many radionuclide-species combinations which may need to be considered. However, sufficient data across a range of species with different masses are required to establish allometric relationships and this is not always available. Here, an alternative allometric approach to predict the biological half-life of radionuclides in homoeothermic vertebrates which does not require such data is derived. Biological half-life values are predicted for four radionuclides and compared to available data for a range of species. All predictions were within a factor of five of the observed values when the model was parameterised appropriate to the feeding strategy of each species. This is an encouraging level of agreement given that the allometric models are intended to provide broad approximations rather than exact values. However, reasons why some radionuclides deviate from what would be anticipated from Kleiber's law need to be determined to allow a more complete exploitation of the potential of allometric extrapolation within radioecological models.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Lecturer > Senior Lecturer 1 11%
Student > Master 1 11%
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Environmental Science 5 56%
Agricultural and Biological Sciences 2 22%
Physics and Astronomy 1 11%
Unknown 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 August 2013.
All research outputs
#15,796,772
of 25,008,338 outputs
Outputs from Radiation and Environmental Biophysics
#334
of 470 outputs
Outputs of similar age
#115,381
of 200,335 outputs
Outputs of similar age from Radiation and Environmental Biophysics
#4
of 6 outputs
Altmetric has tracked 25,008,338 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 470 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 27th percentile – i.e., 27% 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 200,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.