Evidence map›Paper›PMID 41413230›Full record

ArticleScientific reports2025

Electric-field-enhanced high performance of monolayer polyaniline g-C

M H Omidvari, R Safaiee, M H Sheikhi, Sh Nasresfahani

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

M H OmidvariSchool of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
R SafaieeFaculty of Advanced Technologies, Shiraz University, Shiraz, Iran. Safaiee@shirazu.ac.ir.
M H SheikhiSchool of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
Sh NasresfahaniElectrical and Computer Engineering Group, Golpayegan College of Engineering, Isfahan University of Technology, Golpayegan, 87717-67498, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early cancer diagnosis relies heavily on finding appropriate materials to recognize relevant biomarkers. In this study, we conduct a first-principle density functional theory simulation to investigate the capability of two-dimensional polyaniline (g-C

Indexed as

Aniline CompoundsLung NeoplasmsAcetaldehydeAdsorptionBiomarkers, TumorBiosensing TechniquesDensity Functional TheoryElectricityHumansPropaneAcetaldehydeAniline CompoundsBiomarkers, TumorpolyanilinePropaneDensity functional theoryElectric fieldG-C3N monolayerLung cancer biomarkers

Identifiers

PMID41413230
PMCPMC12824392

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.