Evidence map›Paper›PMID 36078560›Full record

ArticleInternational journal of environmental research and public health2022

Spatial Distributions and Intrinsic Influence Analysis of Cr, Ni, Cu, Zn, As, Cd and Pb in Sediments from the Wuliangsuhai Wetland, China.

Huilan Zhang, Piaopiao Liang, Ying Liu, Xinglei Wang, Yahong Bai, Yunxin Xing, Chunli Wei, Yuanyuan Li, Yiming Liu, Yu Hu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
0.5field-weighted citation impact, top 46% of its field
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, 10 citations in OpenAlex.

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

10 authors at 1 institution in 1 country.

Huilan ZhangCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Piaopiao LiangCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Ying LiuCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Xinglei WangCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Yahong BaiCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Yunxin XingCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Chunli WeiCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Yuanyuan LiCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Yiming LiuCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Yu HuCollege of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Minzu University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial distributions of Cr, Ni, Cu, Zn, As, Cd and Pb (potentially toxic elements, PTEs) in sediments and intrinsic influence factors from the Wuliangsuhai wetland of the Hetao Irrigation District, China were studied in this work. The results showed that excluding Zn, the total contents of other PTEs were higher than the background values, of which As (39.26 mg·kg

Indexed as

Metals, HeavySoil PollutantsCadmiumChinaEnvironmental MonitoringGeologic SedimentsLeadRisk AssessmentSoilWetlandsZincCadmiumLeadMetals, HeavySoilSoil PollutantsZincecological risksintrinsic influence analysispotentially toxic elementsspatial distributions

Identifiers

PMID36078560
PMCPMC9518466
OpenAlexW4294326280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.