Evidence map›Paper›PMID 35855787›Full record

ArticleBioinorganic chemistry and applications2022

An Investigation of Electrospun

Siranjeevi Ravichandran, Rajesh Jegathaprathaban, Jeyalakshmi Radhakrishnan, R Usha, V Vijayan, Aklilu Teklemariam

RetractedAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinorganic chemistry and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Retracted: An Investigation of ElectrospunBioinorganic chemistry and applications · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Siranjeevi RavichandranDepartment of Chemistry, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 602105, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-9389-7037
Rajesh JegathaprathabanDepartment of Chemistry, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 602105, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-6118-7049
Jeyalakshmi RadhakrishnanDepartment of Chemistry, SRM Institute of Science and Technology (SRMIST), Kattankulathur 603203, Kancheepuram (DT), Tamil Nadu, India.ORCID https://orcid.org/0000-0001-9572-3778
R UshaDepartment of Physics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 602105, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-7214-2153
V VijayanDepartment of Mechanical Engineering, K. Ramakrishnan College of Technology, Samayapuram, Trichy 621112, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-8195-1638
Aklilu TeklemariamDepartment of Mechanical Engineering, Faculty of Manufacturing, Institute of Technology, Hawassa University, Hawassa, Ethiopia.ORCID https://orcid.org/0000-0003-3807-3849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The in vitro antibacterial, anticancer, and antioxidant activities of a few plant extracts were widely known for decades, and they were used for application in the conventional way. Specifically, electrospun nanofibrous mats have recently exhibited great antibacterial, anticancer, and antioxidant activities. The herbal extracts infused into these formations are expected to have a more efficient and integrated effect on in vitro biological applications. The purpose of this study is to develop polycaprolactone- (PCL-) based nanofiber mats that are infused with a traditional plant extract using

Identifiers

PMID35855787
PMCPMC9288331

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.