Evidence map›Paper›PMID 31264123›Full record

ArticleAnimal cognition2019

Positional encoding in cotton-top tamarins (Saguinus oedipus).

Elisabetta Versace, Jessica R Rogge, Natalie Shelton-May, Andrea Ravignani

Open access · hybridAbstract read
In one paragraph

Article in Animal cognition, 2019. 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
1.9field-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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  6. Review
  7. Common marmosets are sensitive to simple dependencies at variable distances in an artificial grammar.Evolution and human behavior : official journal of the Human Behavior and Evolution Society · 2019
    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 at 2 institutions in 4 countries.

Elisabetta VersaceDepartment of Biological and Experimental Psychology, Queen Mary University of London, London, E1 4NS, UK. e.versace@qmul.ac.uk.ORCID http://orcid.org/0000-0002-7674-3383
Jessica R RoggeDepartment of Psychology, Harvard University, Cambridge, USA.
Natalie Shelton-MayDepartment of Psychology, Harvard University, Cambridge, USA.
Andrea RavignaniArtificial Intelligence Lab, Vrije Universiteit Brussel, 1050, Brussels, Belgium.
Harvard University · USVrije Universiteit Brussel · BE

Funding

H2020 Marie Skłodowska-Curie Actions 665501
6 · The paper itself

Abstract

Strategies used in artificial grammar learning can shed light into the abilities of different species to extract regularities from the environment. In the A(X)

Indexed as

LearningReinforcement, PsychologySaguinusAnimalsFemaleMaleMovementAbsolute positionArtificial grammar learningCotton-top tamarinsNon-adjacent dependencyPositional ruleRelative positionRule learning

Identifiers

PMID31264123
PMCPMC6687687
OpenAlexW2953557052

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.