Evidence map›Paper›PMID 36982242›Full record

ArticleInternational journal of molecular sciences2023

Highly Efficient Cationic Polymerization of β-Pinene, a Bio-Based, Renewable Olefin, with TiCl

Klára Verebélyi, Ákos Szabó, Zsombor Réti, Györgyi Szarka, Ákos Villányi, Béla Iván

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Article in International journal of molecular sciences, 2023. 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

6 authors.

Klára VerebélyiPolymer Chemistry and Physics Research Group, Institute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, Magyar Tudósok Krt 2, H-1117 Budapest, Hungary.ORCID 0000-0002-1525-0577
Ákos SzabóPolymer Chemistry and Physics Research Group, Institute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, Magyar Tudósok Krt 2, H-1117 Budapest, Hungary.
Zsombor RétiPolymer Chemistry and Physics Research Group, Institute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, Magyar Tudósok Krt 2, H-1117 Budapest, Hungary.
Györgyi SzarkaPolymer Chemistry and Physics Research Group, Institute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, Magyar Tudósok Krt 2, H-1117 Budapest, Hungary.
Ákos VillányiPolymer Chemistry and Physics Research Group, Institute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, Magyar Tudósok Krt 2, H-1117 Budapest, Hungary.
Béla IvánPolymer Chemistry and Physics Research Group, Institute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, Magyar Tudósok Krt 2, H-1117 Budapest, Hungary.ORCID 0000-0003-2475-6841

Funding

National Research, Development and Innovation Office, Hungary K135946State of Hungary, co-financed by the European Regional Development Fund VEKOP-2.3.2-16-2017-00013
6 · The paper itself

Abstract

Polymers based on renewable monomers are projected to have a significant role in the sustainable economy, even in the near future. Undoubtedly, the cationically polymerizable β-pinene, available in considerable quantities, is one of the most promising bio-based monomers for such purposes. In the course of our systematic investigations related to the catalytic activity of TiCl

Indexed as

AlkenesPolymersBicyclic MonoterpenesCatalysisPolymerizationTemperatureAlkenesbeta-pineneBicyclic MonoterpenesPolymersbio-basedcationic polymerizationchain-chain couplingeco-friendlyenvironmentally advantageouspoly(β-pinene)renewableroom temperature polymerizationTiCl4 catalystβ-pinene

Identifiers

PMID36982242
PMCPMC10048798

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Registered trials

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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.