Evidence map›Paper›PMID 40775421›Full record

ArticleScientific reports2025

Investigating factors affecting the quality of water resources by multivariate analysis and soft computing approaches.

Bing Cheng, Xinyu Liu, Keke Guo, Ahmad Rastegarnia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Bing ChengChongqing Yuxing Construction & Investment Co., LTD, Chongqing 400055, China.
Xinyu LiuFaculty of Liberal Arts and Social Sciences, The Education University of HongKong, Hong Kong 999077, China.
Keke GuoSchool of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China. 622230960001@mails.cqjtu.edu.cn.
Ahmad RastegarniaDepartment of Geology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran. ahmad.rastegarnia@mail.um.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study used data from a large dam site to model changes in groundwater quality variables. Several indicators were investigated to check the quality of water sources for the site for different purposes. The factor analysis results displayed that four factors control 87.58% of water quality changes. The primary factor responsible for approximately half of the impact on water quality, accounting for 55.12% of the total variance, includes the EC, Ca

Indexed as

EstimationFactor analysisGroundwater qualityHydro-geochemistrySoft computing methodsStatistical analysis

Identifiers

PMID40775421
PMCPMC12331962

What OpenQuestion holds

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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.