Evidence map›Paper›PMID 38550700›Full record

ReviewChemical science2024

Continuous flow synthesis enabling reaction discovery.

Antonella Ilenia Alfano, Jorge García-Lacuna, Oliver M Griffiths, Steven V Ley, Marcus Baumann

Abstract readReview
In one paragraph

Review in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

5 authors.

Antonella Ilenia AlfanoSchool of Chemistry, University College Dublin, Science Centre South Belfield Dublin 4 Ireland marcus.baumann@ucd.ie.ORCID https://orcid.org/0000-0003-0908-037X
Jorge García-LacunaSchool of Chemistry, University College Dublin, Science Centre South Belfield Dublin 4 Ireland marcus.baumann@ucd.ie.ORCID https://orcid.org/0000-0002-6888-1911
Oliver M GriffithsYusuf Hamied Department of Chemistry, University of Cambridge Lensfield Road CB2 1EW Cambridge UK svl1000@cam.ac.uk.ORCID https://orcid.org/0000-0003-3954-9343
Steven V LeyYusuf Hamied Department of Chemistry, University of Cambridge Lensfield Road CB2 1EW Cambridge UK svl1000@cam.ac.uk.ORCID https://orcid.org/0000-0002-7816-0042
Marcus BaumannSchool of Chemistry, University College Dublin, Science Centre South Belfield Dublin 4 Ireland marcus.baumann@ucd.ie.ORCID https://orcid.org/0000-0002-6996-5893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article defines the role that continuous flow chemistry can have in new reaction discovery, thereby creating molecular assembly opportunities beyond our current capabilities. Most notably the focus is based upon photochemical, electrochemical and temperature sensitive processes where continuous flow methods and machine assisted processing can have significant impact on chemical reactivity patterns. These flow chemical platforms are ideally placed to exploit future innovation in data acquisition, feed-back and control through artificial intelligence (AI) and machine learning (ML) techniques.

Identifiers

PMID38550700
PMCPMC10967013

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.