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The ecological risk, source identification, and pollution assessment of heavy metals in road dust: a case study in Rafsanjan, SE Iran

Overview of attention for article published in Environmental Science and Pollution Research, March 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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2 X users
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1 Wikipedia page

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83 Mendeley
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Title
The ecological risk, source identification, and pollution assessment of heavy metals in road dust: a case study in Rafsanjan, SE Iran
Published in
Environmental Science and Pollution Research, March 2017
DOI 10.1007/s11356-017-8539-y
Pubmed ID
Authors

Milad Mirzaei Aminiyan, Mohammed Baalousha, Rouhollah Mousavi, Farzad Mirzaei Aminiyan, Hamideh Hosseini, Amin Heydariyan

Abstract

Heavy metal (HM) contamination in road dust is a potential environmental and human health threat. The sources, concentrations, spatial distribution, and ecological risk of As, Cd, Cu, Cr, Ni, Pb, and Zn in road dust in Rafsanjan City, Iran, were investigated. Pollution was assessed using the enrichment factor (EF). The potentially harmful effects of HMs were evaluated by calculating the potential ecological risk factor of individual metals (E r ) and of multiple metals (RI) using the Hakanson method. Correlation and principal component analyses (PCA) were applied to identify HM pollution sources. The concentrations of HMs in road dust were higher (ca. 5-10 folds) than their natural background values. The EF and E r increased according to the following order Cu > Pb > As > Zn > Cd > Cr > Ni and Cu > Cd > Pb > As > Ni > Zn > Cr, respectively. Thus, Cu is regarded as the pollutant of highest concern. Based on potential ecological risk index (RI) spatial distribution, all parts of Rafsanjan are characterized by significantly high potential ecological risk. HM concentration heat maps, PCA, and correlation analysis suggest that Cu, Pb, As, Cd, and Zn may have originated from the same source and follow the same spatial distribution pattern. These metals originated mainly from anthropogenic sources like copper mining and smelting plants, industrial and chemical activities, inordinate application of chemical fertilizers and pesticides in farmlands, and heavy traffic. Ni and Cr are likely to origniate from the industrial activities and traffic load in Rafsanjan City.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 12%
Student > Ph. D. Student 9 11%
Student > Master 7 8%
Student > Bachelor 7 8%
Professor 5 6%
Other 15 18%
Unknown 30 36%
Readers by discipline Count As %
Environmental Science 23 28%
Agricultural and Biological Sciences 7 8%
Nursing and Health Professions 3 4%
Chemistry 3 4%
Earth and Planetary Sciences 2 2%
Other 10 12%
Unknown 35 42%
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 25 October 2022.
All research outputs
#7,098,489
of 24,679,965 outputs
Outputs from Environmental Science and Pollution Research
#1,495
of 10,396 outputs
Outputs of similar age
#108,151
of 315,442 outputs
Outputs of similar age from Environmental Science and Pollution Research
#27
of 155 outputs
Altmetric has tracked 24,679,965 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 10,396 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 315,442 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 64% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.