Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 312

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Contamination and health risk assessment of heavy metals in China’s lead–zinc mine tailings: A meta–analysis

Kan, Xiaoqing, Dong, Yiqie, Feng, Lu, Zhou, Min, Hou, Haobo·2021·Chemosphere

Abstract

The lead-zinc areas of China have faced serious foulteousqulated heavy metal pollution. In this study, data on As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn concentrations in China's lead-zinc mine tailings were collected and screened from published literature (2015-2020). The contamination assessments, geographical distributions, and health risk assessments of the eight heavy metals were analyzed. The results revealed that the mean concentrations of As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn exceeded the corresponding background values for soils. Moreover, most of the lead-zinc mine tailing areas contaminated by heavy metals were located in the southern and eastern regions of China. The health risk assessment results indicated that oral ingestion was the main exposure route of heavy metals in the mine tailings, and children were more vulnerable to adverse effects. For a single metal, As and Pb presented high non-carcinogenic risks, and As and Cu presented the unacceptable carcinogenic risks. This study provides a timely analysis proving the urgent necessity of the treatment of heavy metal pollution in lead-zinc tailings in China.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.chemosphere.2020.128909

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 33 references

Cited by

See all 312

Metadata

Authors
Kan, X., Dong, Y., Feng, L., Zhou, M., & Hou, H.
Venue
Chemosphere
Publisher
Elsevier BV
Published
2021-03
Volume
267
Pages
128909
ISSN
0045-6535 (ISSN-L)
OpenAlex
W3098288560
Cited by
312
References
33
FWCI
8.81
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Contamination and health risk assessment of heavy metals in China’s lead–zinc mine tailings: A meta–analysis. https://app.cochat.ai/papers/10.1016/j.chemosphere.2020.128909
The paper
Kan, X., Dong, Y., Feng, L., Zhou, M., & Hou, H. (2021). Contamination and health risk assessment of heavy metals in China’s lead–zinc mine tailings: A meta–analysis. Chemosphere. https://doi.org/10.1016/j.chemosphere.2020.128909

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.