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Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps

Overview of attention for article published in Science of the Total Environment, November 2018
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Title
Honeybees as sentinels of lead pollution: Spatio-temporal variations and source appointment using stable isotopes and Kohonen self-organizing maps
Published in
Science of the Total Environment, November 2018
DOI 10.1016/j.scitotenv.2018.06.040
Pubmed ID
Authors

Nenad M. Zarić, Isidora Deljanin, Konstantin Ilijević, Ljubiša Stanisavljević, Mirjana Ristić, Ivan Gržetić

Abstract

In this study, honeybees were used to determine spatio-temporal variations and origin sources of Pb. Lead concentrations and isotopic composition were used in combination with selected statistical methods. The sampling was carried out at five different locations in Serbia: urban region (BG), petrochemical industry (PA), suburban region (PV), rural region (MS) and thermal power plant region (TPP) during 2014. At PA and PV locations, samples were taken during multiple years. This is the first use of Kohonen self-organizing map (SOM) in combination with honeybees as bioindicators to determine spatio-temporal variations and origin of Pb pollution. It was observed that during the years Pb concentrations were in decline. Anthropogenic sources are most dominant in BG and TPP, in PA there are mixed sources of natural and anthropogenic origin and in PV Pb is of natural origin. It can be concluded that honeybees in combination with SOM can be used to differentiate between slight changes in spatio-temporal variations of Pb, as well as for source appointment.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 12%
Student > Master 6 12%
Student > Ph. D. Student 6 12%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 14 28%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 24%
Environmental Science 8 16%
Biochemistry, Genetics and Molecular Biology 5 10%
Earth and Planetary Sciences 4 8%
Medicine and Dentistry 2 4%
Other 5 10%
Unknown 14 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 June 2018.
All research outputs
#13,726,091
of 15,558,039 outputs
Outputs from Science of the Total Environment
#12,342
of 14,356 outputs
Outputs of similar age
#240,551
of 279,355 outputs
Outputs of similar age from Science of the Total Environment
#464
of 527 outputs
Altmetric has tracked 15,558,039 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,356 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 527 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.