Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 276

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Animal models of anxiety in mice

Bourin, Michel, Petit‐Demoulière, Benoit, Nic Dhonnchadha, Brid, Hascöet, Martine·2007·Fundamental & Clinical Pharmacology

Abstract

Among the multiple possibilities to study human pathologies, animal models remain one of the most used pathways. They allow to access to unavailable answers in human patients and to learn about mechanisms of action of drugs. Primarily developed with rats, animal models in anxiety have been adapted with a mixed success for mice, an easy‐to‐use mammal with better genetic possibilities than rats. In this review, we have focused on the most used animal models in anxiety in mice. Both conditioned and unconditioned models are described, to represent all types of animal models of anxiety. Behavioural studies require strong care for variable parameters, linked to environment, handling or paradigm; we have discussed about this topic. Finally, we focused on the consequences of re‐exposure to the apparatus. Test–retest procedures can bring in new answers, but should be deeply studied, to revalidate the whole paradigm as an animal model of anxiety.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1472-8206.2007.00526.x

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 33 references

Cited by

See all 276

Metadata

Authors
Bourin, M., Petit‐Demoulière, B., Nic Dhonnchadha, B., & Hascöet, M.
Venue
Fundamental & Clinical Pharmacology
Publisher
Wiley
Published
2007-11-20
Volume
21
Issue
6
Pages
567-574
ISSN
  • 0767-3981 (ISSN-L)
  • 1472-8206
OpenAlex
W2004429380
Cited by
276
References
33
FWCI
3.02
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Animal models of anxiety in mice. https://app.cochat.ai/papers/10.1111/j.1472-8206.2007.00526.x
The paper
Bourin, M., Petit‐Demoulière, B., Nic Dhonnchadha, B., & Hascöet, M. (2007). Animal models of anxiety in mice. Fundamental & Clinical Pharmacology. https://doi.org/10.1111/j.1472-8206.2007.00526.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.