Evidence map›Paper›PMID 42646979›Full record

ArticleToxics2026

Spatial Heterogeneity and Drivers of Heavy Metals in Soils and Sediments of the Nyangqu River Basin, Tibetan Plateau, China: Insights from GeoDetector and Explainable Machine Learning.

Jiale Chen, Geng Xu, Duo Bu, Xiaomei Cui, Junli Chen, Qiangying Zhang, Bo Fang

Abstract read
In one paragraph

Article in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiale ChenKey Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau, Ministry of Education, School of Ecology and Environment, Xizang University, Lhasa 850000, China.
Geng XuAnalysis and Testing Center, Xizang University, Lhasa 850000, China.
Duo BuKey Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau, Ministry of Education, School of Ecology and Environment, Xizang University, Lhasa 850000, China.ORCID 0000-0001-8755-9672
Xiaomei CuiKey Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau, Ministry of Education, School of Ecology and Environment, Xizang University, Lhasa 850000, China.
Junli ChenAnalysis and Testing Center, Xizang University, Lhasa 850000, China.
Qiangying ZhangKey Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau, Ministry of Education, School of Ecology and Environment, Xizang University, Lhasa 850000, China.
Bo FangAnalysis and Testing Center, Xizang University, Lhasa 850000, China.

Funding

Central Financial Support Special Funds for Local Colleges and Universities [2025]01 and [2026]44High-Level Talent Cultivation Program for Postgraduates of Xizang University 2026-GSP-S039Science and Technology projects of Xizang Autonomous Region XZ202501ZY0072, XZ202501ZY0008 and XZ202601ZR0023Talent Incentive Program for Young Scholars of Xizang University ZDRC202410
6 · The paper itself

Abstract

Heavy-metal contamination in alpine agricultural watersheds reflects interacting geological, environmental, and anthropogenic controls. In this study, arsenic (As), copper (Cu), lead (Pb), zinc (Zn), and chromium (Cr) were investigated in 213 farmland soil and sediment samples collected from the Nyangqu River Basin during 2019-2021 and 2024-2025. Pollution status and ecological risks were evaluated using the Nemerow Integrated Pollution Index (

Indexed as

ecological riskexplainable machine learningGeoDetectorheavy metalsNyangqu River Basin

Identifiers

PMID42646979
PMCPMC13517251

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.