Evidence map›Paper›PMID 30661141›Full record

ArticleEnvironmental geochemistry and health2019

Seasonal and spatial contamination statuses and ecological risk of sediment cores highly contaminated by heavy metals and metalloids in the Xiangjiang River.

Huan Li, Liyuan Chai, Zhihui Yang, Qi Liao, Yi Liu, Bin Ouyang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental geochemistry and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Huan LiInstitute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, China.
Liyuan ChaiInstitute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, China.
Zhihui YangInstitute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, China.
Qi LiaoInstitute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, China. liaoqi@csu.edu.cn.ORCID http://orcid.org/0000-0002-9163-5065
Yi LiuInstitute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, China.
Bin OuyangInstitute of Environmental Science and Engineering, School of Metallurgy and Environment, Central South University, Changsha, 410083, China.

Funding

Environmental Protection Department of Hunan (2017)83Key Scientific Research Project of Hunan Province, China 2016SK2004National Key R&D Plan 2016YFC0403003National Natural Science Foundation of China (CN) 51634010
6 · The paper itself

Abstract

To reveal seasonal and spatial variations of heavy metals and metalloids (HMMs) in sediment of the Xiangjiang River, a total of 24 water and 649 sediment samples were collected from six sampling stations in the Songbai section of the river which had been polluted by HMMs for 100 years. Their contamination statuses and ecological risk were determined by enrichment factor (EF), geo-accumulation index (I

Indexed as

ChinaEcotoxicologyEnvironmental MonitoringEstuariesGeologic SedimentsMetalloidsMetals, HeavyPrincipal Component AnalysisRisk AssessmentRiversSeasonsSpatio-Temporal AnalysisWater Pollutants, ChemicalWater QualityMetalloidsMetals, HeavyWater Pollutants, ChemicalHeavy metals and metalloidsSeasonal variationSediment coreXiangjiang River

Identifiers

PMID30661141

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.