Evidence map›Paper›PMID 37553344›Full record

ArticleNature communications2023

Understanding catalytic synergy in dinuclear polymerization catalysts for sustainable polymers.

Francesca Fiorentini, Wilfred T Diment, Arron C Deacy, Ryan W F Kerr, Stephen Faulkner, Charlotte K Williams

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Hydrophobic Promoter-Enhanced Tandem Catalysis for Alkene Epoxidation With HAngewandte Chemie (International ed. in English) · 2026
    Article
  4. Article
  5. Article
  6. Quantifying the Influences of Epoxide Binding in Epoxide/COJournal of the American Chemical Society · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
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  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Article
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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

6 authors.

Francesca FiorentiniDepartment of Chemistry, University of Oxford, OX1 3TA, Oxford, United Kingdom.
Wilfred T DimentDepartment of Chemistry, University of Oxford, OX1 3TA, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-8489-3667
Arron C DeacyDepartment of Chemistry, University of Oxford, OX1 3TA, Oxford, United Kingdom.
Ryan W F KerrDepartment of Chemistry, University of Oxford, OX1 3TA, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-8045-2060
Stephen FaulknerDepartment of Chemistry, University of Oxford, OX1 3TA, Oxford, United Kingdom.
Charlotte K WilliamsDepartment of Chemistry, University of Oxford, OX1 3TA, Oxford, United Kingdom. charlotte.williams@chem.ox.ac.uk.ORCID http://orcid.org/0000-0002-0734-1575

Funding

Oxford University | Oxford Martin School, University of Oxford future of PlasticsRCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/R027129/1
6 · The paper itself

Abstract

Understanding the chemistry underpinning intermetallic synergy and the discovery of generally applicable structure-performances relationships are major challenges in catalysis. Additionally, high-performance catalysts using earth-abundant, non-toxic and inexpensive elements must be prioritised. Here, a series of heterodinuclear catalysts of the form Co(III)M(I/II), where M(I/II) = Na(I), K(I), Ca(II), Sr(II), Ba(II) are evaluated for three different polymerizations, by assessment of rate constants, turn over frequencies, polymer selectivity and control. This allows for comparisons of performances both within and between catalysts containing Group I and II metals for CO

Identifiers

PMID37553344
PMCPMC10409799

What OpenQuestion holds

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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.