Evidence map›Paper›PMID 35202281›Full record

ArticleToxics2022

Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water.

Kevin Lawrence M De Jesus, Delia B Senoro, Jennifer C Dela Cruz, Eduardo B Chan

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Design and Implementation of a Chain-Type Direct Push Drilling Rig for Contaminated Sites.International journal of environmental research and public health · 2023
    Article
  3. Article
  4. Article
  5. Article
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 at 2 institutions in 2 countries.

Kevin Lawrence M De JesusSchool of Graduate Studies, Mapua University, Manila 1002, Philippines.
Delia B SenoroSchool of Graduate Studies, Mapua University, Manila 1002, Philippines.ORCID 0000-0002-5255-9979
Jennifer C Dela CruzSchool of Graduate Studies, Mapua University, Manila 1002, Philippines.
Eduardo B ChanDyson College of Arts and Science, Pace University, New York, NY 10038, USA.
Mapúa University · PHPace University · US

Funding

Department of Science and Technology D-HIVE 4B Capital
6 · The paper itself

Abstract

Limited monitoring activities to assess data on heavy metal (HM) concentration contribute to worldwide concern for the environmental quality and the degree of toxicants in areas where there are elevated metals concentrations. Hence, this study used in-situ physicochemical parameters to the limited data on HM concentration in SW and GW. The site of the study was Marinduque Island Province in the Philippines, which experienced two mining disasters. Prediction model results showed that the SW models during the dry and wet seasons recorded a mean squared error (MSE) ranging from 6 × 10

Indexed as

groundwaterheavy metalsneural networkparticle swarm optimizationsurface water

Identifiers

PMID35202281
PMCPMC8879014
OpenAlexW4213030507

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.