Evidence map›Paper›PMID 31519658›Full record

ArticleApplied and environmental microbiology2019

Methyl Selenol as a Precursor in Selenite Reduction to Se/S Species by Methane-Oxidizing Bacteria.

Abdurrahman S Eswayah, Nicole Hondow, Andreas C Scheinost, Mohamed Merroun, Maria Romero-González, Thomas J Smith, Philip H E Gardiner

Open access · hybridAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 33 citations in OpenAlex.

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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

7 authors at 5 institutions in 3 countries.

Abdurrahman S EswayahBiomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, United Kingdom.
Nicole HondowSchool of Chemical and Process Engineering, University of Leeds, Leeds, United Kingdom.
Andreas C ScheinostThe Rossendorf Beamline at ESRF, Grenoble, France.
Mohamed MerrounDepartment of Microbiology, University of Granada, Granada, Spain.
Maria Romero-GonzálezSchool of Engineering and Materials Science (SEMS), Queen Mary University of London, London, United Kingdom.
Thomas J SmithBiomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, United Kingdom.
Philip H E GardinerBiomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, United Kingdom p.h.gardiner@shu.ac.uk.ORCID 0000-0002-2687-0106
Sheffield Hallam University · GBHelmholtz-Zentrum Dresden-Rossendorf · DEQueen Mary University of London · GBUniversidad de Granada · ESUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide range of microorganisms have been shown to transform selenium-containing oxyanions to reduced forms of the element, particularly selenium-containing nanoparticles. Such reactions are promising for the detoxification of environmental contamination and the production of valuable selenium-containing products, such as nanoparticles for application in biotechnology. It has previously been shown that aerobic methane-oxidizing bacteria, including

Indexed as

Biodegradation, EnvironmentalBiotechnologyBiotransformationMetal NanoparticlesMethaneMethanolMethylococcaceaeMethylococcus capsulatusOrganoselenium CompoundsSelenious AcidSeleniumMethanemethaneselenolMethanolOrganoselenium CompoundsSelenious AcidSeleniumelemental seleniummethane-oxidizing bacteriamixed chalcogenide amorphous nanoparticlesselenite reduction

Identifiers

PMID31519658
PMCPMC6821961
OpenAlexW2973344841

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.