Evidence map›Paper›PMID 38427152›Full record

ArticleEnvironmental monitoring and assessment2024

Natural radionuclides and radiological risk assessment in the stream and river sediments of a high background natural radiation area Kanyakumari, India.

Thennaarassan Natarajan, Sarata Kumar Sahoo, Kazumasa Inoue, Hideki Arae, Tatsuo Aono, Masahiro Fukushi

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Thennaarassan NatarajanDepartment of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa-Ku, Tokyo, 116-8551, Japan.
Sarata Kumar SahooInstitute for Radiological Sciences, National Institutes for Quantum Science and Technology (QST), Inage-Ku, Chiba, 263-8555, Japan. sahoo.sarata@qst.go.jp.
Kazumasa InoueDepartment of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa-Ku, Tokyo, 116-8551, Japan.
Hideki AraeInstitute for Radiological Sciences, National Institutes for Quantum Science and Technology (QST), Inage-Ku, Chiba, 263-8555, Japan.
Tatsuo AonoInstitute for Radiological Sciences, National Institutes for Quantum Science and Technology (QST), Inage-Ku, Chiba, 263-8555, Japan.
Masahiro FukushiDepartment of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa-Ku, Tokyo, 116-8551, Japan.
National Institutes for Quantum Science and Technology · JPTokyo Metropolitan University · JPFukushima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Kanyakumari coast is known to be a high background natural radiation area due to the placer deposits of heavy minerals such as ilmenite, monazite, and rutile. The Kanyakumari river sediments that could be the source of the elevated amounts of natural radionuclides in the coastal sands have been studied in this paper. The activity concentrations of primordial radionuclides

Indexed as

Radiation MonitoringSoil Pollutants, RadioactiveBackground RadiationEnvironmental MonitoringIndiaPotassium RadioisotopesRadioisotopesRisk AssessmentRiversThoriumPotassium RadioisotopesRadioisotopesSoil Pollutants, RadioactiveThoriumAbsorbed dose rateGamma spectrometryNatural radionuclidesRadiological hazard parametersRiver sedimentsThorium

Identifiers

PMID38427152
OpenAlexW4392386385

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.