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Modelling metal accumulation using humic acid as a surrogate for plant roots

Overview of attention for article published in Chemosphere, December 2014
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Title
Modelling metal accumulation using humic acid as a surrogate for plant roots
Published in
Chemosphere, December 2014
DOI 10.1016/j.chemosphere.2014.11.003
Pubmed ID
Authors

T.T. Yen Le, Frank Swartjes, Paul Römkens, Jan E. Groenenberg, Peng Wang, Stephen Lofts, A. Jan Hendriks

Abstract

Metal accumulation in roots was modelled with WHAM VII using humic acid (HA) as a surrogate for root surface. Metal accumulation was simulated as a function of computed metal binding to HA, with a correction term (EHA) to account for the differences in binding site density between HA and root surface. The approach was able to model metal accumulation in roots to within one order of magnitude for 95% of the data points. Total concentrations of Mn in roots of Vigna unguiculata, total concentrations of Ni, Zn, Cu and Cd in roots of Pisum sativum, as well as internalized concentrations of Cd, Ni, Pb and Zn in roots of Lolium perenne, were significantly correlated to the computed metal binding to HA. The method was less successful at modelling metal accumulation at low concentrations and in soil experiments. Measured concentrations of Cu internalized in L. perenne roots were not related to Cu binding to HA modelled and deviated from the predictions by over one order of magnitude. The results indicate that metal uptake by roots may under certain conditions be influenced by conditional physiological processes that cannot simulated by geochemical equilibrium. Processes occurring in chronic exposure of plants grown in soil to metals at low concentrations complicate the relationship between computed metal binding to HA and measured metal accumulation in roots.

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 40%
Student > Bachelor 2 13%
Unspecified 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Environmental Science 8 53%
Engineering 2 13%
Unspecified 1 7%
Chemistry 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 2 13%
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 31 October 2015.
All research outputs
#15,982,793
of 25,374,647 outputs
Outputs from Chemosphere
#7,436
of 13,455 outputs
Outputs of similar age
#204,034
of 368,046 outputs
Outputs of similar age from Chemosphere
#42
of 98 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,455 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 44th percentile – i.e., 44% 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 368,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 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 57% of its contemporaries.