Evidence map›Paper›PMID 39461981›Full record

ArticleScientific reports2024

Spatial analysis and soft computational modeling for hazard assessment of potential toxic elements in potable groundwater.

R S Aswal, Mukesh Prasad, Jaswinder Singh, Hakam Singh, Utpal Shrivastava, Manoj Wadhwa, Om Prakash Pandey, Johnbosco C Egbueri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

8 authors.

R S AswalDepartment of Environmental Sciences, H.N.B. Garhwal University, Badshahi Thaul Campus, Tehri Garhwal, 249 199, India.
Mukesh PrasadDepartment of Medical Physics, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Jolly Grant, Dehradun, 248 016, India. bijalwanmukesh111@gmail.com.
Jaswinder SinghDepartment of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125 001, India.
Hakam SinghChitkara University School of Engineering and Technology, Chitkara University, Himachal Pradesh, 174 103, India.
Utpal ShrivastavaChitkara University School of Engineering and Technology, Chitkara University, Himachal Pradesh, 174 103, India.
Manoj WadhwaDepartment of Computer Science and Engineering, University Institute of Engineering, Chandigarh University, Mohali, 140413, Punjab, India.
Om Prakash PandeyPhysical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
Johnbosco C EgbueriDepartment of Geology, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Swiftly increasing population and industrial developments of urban areas has accelerated the worsening of the water quality in recent years. Groundwater samples from different locations of the Doon valley, Garhwal Himalaya were analyzed to measure concentrations of six potential toxic elements (PTEs) viz. chromium (Cr), nickel (Ni), arsenic (As), molybdenum (Mo), cadmium (Cd), and lead (Pb) using Inductively Coupled Plasma Mass Spectrometer (ICP-MS) with the aim to study the spatial distribution and associated hazards. In addition, machine learning algorithms have been used for prediction of water quality and identification of influencing PTEs. The results inferred that the mean values (in the units of µg L

Indexed as

Health risk assessmentMachine learningPollution indicesPotential toxic elements

Identifiers

PMID39461981
PMCPMC11513028

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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.