Evidence map›Paper›PMID 39466838›Full record

ArticleeLife2024

Development of a Marmoset Apparatus for Automated Pulling to study cooperative behaviors.

Olivia C Meisner, Weikang Shi, Nicholas A Fagan, Joel Greenwood, Monika P Jadi, Anirvan S Nandy, Steve W C Chang

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Olivia C MeisnerInterdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0003-3523-5144
Weikang ShiDepartment of Psychology, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0002-4068-1168
Nicholas A FaganDepartment of Psychology, Yale University, New Haven, United States.
Joel GreenwoodDepartment of Neuroscience, Yale University, New Haven, United States.
Monika P Jadi *Interdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0003-1092-5026
Anirvan S Nandy *Interdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0002-4225-5349
Steve W C Chang *Interdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID https://orcid.org/0000-0003-4160-7549

Funding

RESEARCH TRAINING - BIOLOGICAL SCIENCEST32MH014276 · NIMH · YALE UNIVERSITY · PI Marina R Picciotto · 1985 to 2026
$7.2M
Yale Core Grant for Vision ResearchP30EY026878 · NEI · YALE UNIVERSITY · PI In-Jung Kim · 2016 to 2026
$7.1M
Discovering brain state dependent dynamics in large scale perceptual ensembles.R01EY034605 · NEI · YALE UNIVERSITY · PI Monika P. Jadi · 2023 to 2026
$2.0M
Neural investigations into cooperative social interactions in marmoset dyadsR21MH126072 · NIMH · YALE UNIVERSITY · PI CHANG, STEVE W. C., JADI, MONIKA P. · 2022 to 2023
$456k
National Science Foundation DGE2139841NEI NIH HHS P30 EY026878NEI NIH HHS R01 EY034605NIMH NIH HHS R21 MH126072NIMH NIH HHS T32 MH014276Simons Foundation Autism Research Initiative SFARI 875855
6 · The paper itself

Abstract

In recent years, the field of neuroscience has increasingly recognized the importance of studying animal behaviors in naturalistic environments to gain deeper insights into ethologically relevant behavioral processes and neural mechanisms. The common marmoset (

Indexed as

Behavior, AnimalCallithrixCooperative BehaviorAnimalsFemaleMaleSocial Behaviorcommon marmosetscooperationmarkerless trackingneural recordingneurosciencesocial gaze

Identifiers

PMID39466838
PMCPMC11517257

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.