Evidence map›Paper›PMID 36850312›Full record

ArticlePolymers2023

Promising Agromaterials Based on Biodegradable Polymers: Polylactide and Poly-3-Hydroxybutyrate.

Yulia Victorovna Tertyshnaya, Maria Victorovna Podzorova, Ivetta Aramovna Varyan, Victor Victorovich Tcherdyntsev, Mikhail Yurievich Zadorozhnyy, Elena Valerievna Medvedeva

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. 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.

Yulia Victorovna TertyshnayaEmanuel Institute of Biochemical Physics, Russian Academy of Sciences, 4 Kosygina Str., Moscow 119334, Russia.ORCID 0000-0001-8886-4513
Maria Victorovna PodzorovaEmanuel Institute of Biochemical Physics, Russian Academy of Sciences, 4 Kosygina Str., Moscow 119334, Russia.ORCID 0000-0001-9023-3876
Ivetta Aramovna VaryanEmanuel Institute of Biochemical Physics, Russian Academy of Sciences, 4 Kosygina Str., Moscow 119334, Russia.
Victor Victorovich TcherdyntsevLaboratory of Functional Polymer Materials, National University of Science and Technology "MISIS", Leninskii prosp, 4, Moscow 119049, Russia.ORCID 0000-0003-4357-4509
Mikhail Yurievich ZadorozhnyyLaboratory of Functional Polymer Materials, National University of Science and Technology "MISIS", Leninskii prosp, 4, Moscow 119049, Russia.ORCID 0000-0001-8776-0595
Elena Valerievna MedvedevaMoscow Aviation Institute, Volokolamsk sh., 4, Moscow 125993, Russia.
Plekhanov Russian University of Economics · RUNational University of Science and Technology · RUMoscow Aviation Institute · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrospun fabrics have unique properties due to their uniform morphology and high surface area to volume ratio. Ultrathin nonwoven fabrics are produced for many applications: biomedical, nanosensors, tissue engineering and filtration systems. In this work, nonwoven polylactide, polylactide/natural rubber, poly-3-hydroxybutyrate, and poly-3-hydroxybutyrate/nitrile butadiene rubber fabrics were prepared by electrospinning methods. The obtained fabric samples were used as substrates for the growth of winter wheat seeds "Yubileinaya 100" (

Indexed as

germinationnonwoven fabricspoly-3-hydroxybutyratepolylactidepolymer compositespolymer substratewheat seeds

Identifiers

PMID36850312
PMCPMC9963028
OpenAlexW4321375549

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.