Evidence map›Paper›PMID 32209227›Full record

ArticleeLife2020

Identification of

Judit García-González, Alistair J Brock, Matthew O Parker, Riva J Riley, David Joliffe, Ari Sudwarts, Muy-Teck Teh, Elisabeth M Busch-Nentwich, Derek L Stemple, Adrian R Martineau and 5 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. 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
2.1field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  8. Review
  9. Article
  10. Frontiers in neuroscience · 2022
    Article
  11. 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

15 authors at 7 institutions in 2 countries.

Judit García-GonzálezSchool of Biological and Chemical Sciences, Queen Mary, University of London, London, United Kingdom.ORCID 0000-0001-6245-740X
Alistair J BrockSchool of Biological and Chemical Sciences, Queen Mary, University of London, London, United Kingdom.
Matthew O ParkerSchool of Pharmacy and Biomedical Science, University of Portsmouth, Portsmouth, United Kingdom.ORCID 0000-0002-7172-5231
Riva J RileySchool of Biological and Chemical Sciences, Queen Mary, University of London, London, United Kingdom.ORCID 0000-0001-5708-7424
David JoliffeBarts and The London School of Medicine and Dentistry, Blizard Institute, London, United Kingdom.
Ari SudwartsSchool of Biological and Chemical Sciences, Queen Mary, University of London, London, United Kingdom.
Muy-Teck TehCentre for Immunobiology and Regenerative Medicine, Institute of Dentistry, Barts and The London School of Medicine and Dentistry, London, United Kingdom.ORCID 0000-0002-7725-8355
Elisabeth M Busch-NentwichWellcome Trust Sanger Institute, Cambridge, United Kingdom.ORCID 0000-0001-6450-744X
Derek L StempleWellcome Trust Sanger Institute, Cambridge, United Kingdom.ORCID 0000-0002-8296-9928
Adrian R MartineauBarts and The London School of Medicine and Dentistry, Blizard Institute, London, United Kingdom.ORCID 0000-0001-5387-1721
Jaakko KaprioInstitute for Molecular Medicine FIMM, HiLIFE, Helsinki, Finland.ORCID 0000-0002-3716-2455
Teemu PalviainenInstitute for Molecular Medicine FIMM, HiLIFE, Helsinki, Finland.ORCID 0000-0002-7847-8384
Valerie KuanInstitute of Cardiovascular Science, University College London, London, United Kingdom.ORCID 0000-0001-7873-6972
Robert T WaltonBarts and The London School of Medicine and Dentistry, Blizard Institute, London, United Kingdom.ORCID 0000-0001-7700-1907
Caroline H BrennanSchool of Biological and Chemical Sciences, Queen Mary, University of London, London, United Kingdom.ORCID 0000-0002-4169-4083
Queen Mary University of London · GBInstitute for Molecular Medicine Finland · FIUniversity College London · GBUniversity of Cambridge · GBUniversity of Helsinki · FIUniversity of Portsmouth · GBWellcome Sanger Institute · GB

Funding

Exploiting zebrafish genetics to identify genes affecting addiction-related phenotypes.U01DA044400 · NIDA · UNIV/LONDON-QUEEN MARY& WESTFIELD COLL · PI BRENNAN, CAROLINE HELEN, BUSCH-NENTWICH, ELISABETH MARIE · 2018 to 2022
$2.0M
Alcohol and zebra fish: Behavioral screens for mutantsR01AA015325 · NIAAA · UNIVERSITY OF TORONTO · PI GERLAI, ROBERT T. · 2007 to 2011
$1.2M
Biotechnology and Biological Sciences Research Council BB/M007863Medical Research Council G1000403Medical Research Council MC_U190081977National Centre for the Replacement, Refinement and Reduction of Animals in Research G1000053NIAAA NIH HHS R01 AA015325NIDA NIH HHS U01 DA044400Wellcome Trust 110284/Z/15/Z
6 · The paper itself

Abstract

To facilitate smoking genetics research we determined whether a screen of mutagenized zebrafish for nicotine preference could predict loci affecting smoking behaviour. From 30 screened F

Indexed as

AmisulprideAnimalsBupropionChoice BehaviorConditioning, ClassicalFemaleGenetic LociHumansIntracellular Signaling Peptides and ProteinsMaleMembrane ProteinsMutationNicotinePolymorphism, Single NucleotideReceptor, Serotonin, 5-HT1ATobacco SmokingAmisulprideBupropionHTR1A protein, humanIntracellular Signaling Peptides and ProteinsMembrane ProteinsNicotineReceptor, Serotonin, 5-HT1ASLIT3 protein, humanSlit3 protein, zebrafishZebrafish Proteinsacoustic startleconditioned place preferencegene associationneurosciencenicotineslit3smokingzebrafish

Identifiers

PMID32209227
PMCPMC7096180
OpenAlexW3013710842

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.