Evidence map›Paper›PMID 33510973›Full record

ArticlePeerJ2021

Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes.

Prinpida Sonthiphand, Pasunun Rattanaroongrot, Kasarnchon Mek-Yong, Kanthida Kusonmano, Chalida Rangsiwutisak, Pichahpuk Uthaipaisanwong, Srilert Chotpantarat, Teerasit Termsaithong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Microbiota variation inMicrobiology spectrum · 2026
    Article
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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

8 authors.

Prinpida SonthiphandDepartment of Biology, Faculty of Science, Mahidol University, Bangkok, Thailand.
Pasunun RattanaroongrotDepartment of Biology, Faculty of Science, Mahidol University, Bangkok, Thailand.
Kasarnchon Mek-YongDepartment of Biology, Faculty of Science, Mahidol University, Bangkok, Thailand.
Kanthida KusonmanoBioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Chalida RangsiwutisakBioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Pichahpuk UthaipaisanwongBioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Srilert ChotpantaratDepartment of Geology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Teerasit TermsaithongLearning Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiomes of deep and shallow aquifers located in an agricultural area, impacted by an old tin mine, were explored to understand spatial variation in microbial community structures and identify environmental factors influencing microbial distribution patterns through the analysis of 16S rRNA and

Indexed as

AioA geneArsenicArsenite oxidaseArsenite-oxidizing bacteriaDeep groundwaterMicrobiomeShallow groundwater

Identifiers

PMID33510973
PMCPMC7798605

What OpenQuestion holds

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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.