Evidence map›Paper›PMID 37938101›Full record

ArticleeLife2023

A reductionist paradigm for high-throughput behavioural fingerprinting in

Hannah Jones, Jenny A Willis, Lucy C Firth, Carlo N G Giachello, Giorgio F Gilestro

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Hannah JonesDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0002-9481-8094
Jenny A WillisSyngenta, Jealott's Hill International Research Centre, Bracknell, United Kingdom.
Lucy C FirthSyngenta, Jealott's Hill International Research Centre, Bracknell, United Kingdom.
Carlo N G GiachelloSyngenta, Jealott's Hill International Research Centre, Bracknell, United Kingdom.ORCID 0000-0003-4186-1571
Giorgio F GilestroDepartment of Life Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0001-7512-8541

Funding

Resource Component: Acquisition, maintenance and distribution of Drosophila stocksP40OD018537 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI Annette L. Parks · 2014 to 2026
$13.5M
Biotechnology and Biological Sciences Research Council BB/M011178/1NIH HHS P40 OD018537
6 · The paper itself

Abstract

Understanding how the brain encodes behaviour is the ultimate goal of neuroscience and the ability to objectively and reproducibly describe and quantify behaviour is a necessary milestone on this path. Recent technological progresses in machine learning and computational power have boosted the development and adoption of systems leveraging on high-resolution video recording to track an animal pose and describe behaviour in all four dimensions. However, the high temporal and spatial resolution that these systems offer must come as a compromise with their throughput and accessibility. Here, we describe

Indexed as

ColeopteraNeurosciencesAnimalsBrainDrosophila melanogasterMachine Learningbehaviourcomputational biologyD. melanogasterethomicsfingerprintingneuroscienceopen sourcepharmacologysystems biology

Identifiers

PMID37938101
PMCPMC10631757

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.