Evidence map›Paper›PMID 36703408›Full record

ArticleCommunications chemistry2020

Computational discovery of molecular C

Marcin Miklitz, Lukas Turcani, Rebecca L Greenaway, Kim E Jelfs

Abstract read
In one paragraph

Article in Communications chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Supramolecular Metallacycles and Their Binding of Fullerenes.Chemistry (Weinheim an der Bergstrasse, Germany) · 2020
    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

4 authors.

Marcin MiklitzDepartment of Chemistry, Molecular Sciences Research Hub, White City Campus, Imperial College London, Wood Lane, London, W12 0BZ, UK.
Lukas TurcaniDepartment of Chemistry, Molecular Sciences Research Hub, White City Campus, Imperial College London, Wood Lane, London, W12 0BZ, UK.ORCID http://orcid.org/0000-0001-8731-9839
Rebecca L GreenawayDepartment of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK.
Kim E JelfsDepartment of Chemistry, Molecular Sciences Research Hub, White City Campus, Imperial College London, Wood Lane, London, W12 0BZ, UK. k.jelfs@imperial.ac.uk.ORCID http://orcid.org/0000-0001-7683-7630

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC-StG-PE5-CoMMaDRCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/L000202RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/N004884/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/P005543/1Royal Society University Research Fellowship
6 · The paper itself

Abstract

Computation is playing an increasing role in the discovery of materials, including supramolecular materials such as encapsulants. In this work, a function-led computational discovery using an evolutionary algorithm is used to find potential fullerene (C

Identifiers

PMID36703408
PMCPMC9814092

What OpenQuestion holds

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LicenceCC BY
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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.