Evidence map›Paper›PMID 38787101›Full record

ArticleToxics2024

Pollution Characteristics and Risk Assessment of Heavy Metals in the Sediments of the Inflow Rivers of Dianchi Lake, China.

Liwei He, Guangye Chen, Xinze Wang, Jian Shen, Hongjiao Zhang, Yuanyuan Lin, Yang Shen, Feiyan Lang, Chenglei Gong

Abstract read
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

9 authors.

Liwei HeYunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China.ORCID 0000-0002-9280-3411
Guangye ChenSchool of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China.
Xinze WangYunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China.
Jian ShenYunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China.ORCID 0000-0003-1264-5765
Hongjiao ZhangSchool of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China.
Yuanyuan LinSchool of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China.
Yang ShenSchool of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China.
Feiyan LangSchool of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China.
Chenglei GongSchool of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China.

Funding

Basic Research Program-Youth Program of Science and Technology Department in Yunnan province 202101AU070058University-level talent introduction project of Kunming university YJL2215
6 · The paper itself

Abstract

To explore the contamination status and identify the source of the heavy metals in the sediments in the major inflow rivers of Dianchi Lake in China, sediment samples were collected and analyzed. Specifically, the distribution, source, water quality, and health risk assessment of the heavy metals were analyzed using correlation analysis (CA), principal component analysis (PCA), the heavy metal contamination factor (

Indexed as

chemical speciationheavy metal pollutionrisk assessmentsource identification

Identifiers

PMID38787101
PMCPMC11125836

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.