ArticleLearning & behavior2024
Beyond the mark: Signatures of self-recognition in fish.
Article in Learning & behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Cleaner fish with mirror self-recognition capacity precisely realize their body size based on their mental image.Scientific reports · 2024Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A new study with cleaner fish demonstrates the need to expand cognitive testing of animals beyond success testing (a simple pass or fail criteria), and instead investigate the signatures of how animals solve tasks. By tailoring traditional cognitive tests to the focal species' natural behaviour, researchers can provide animals with a better chance for demonstrating their cognitive abilities, offering a more comprehensive understanding of the evolution of cognition.
Indexed as
Identifiers
37231105What OpenQuestion holds
Registered trials
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.