Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 198

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Aged BALB/c Mice as a Model for Increased Severity of Severe Acute Respiratory Syndrome in Elderly Humans

Open access
Roberts, Anjeanette, Paddock, Christopher, Vogel, Leatrice, Butler, Emily, Zaki, Sherif, Subbarao, Kanta·2005·Journal of Virology

Abstract

Advanced age has repeatedly been identified as an independent correlate of adverse outcome and a predictor of mortality in cases of severe acute respiratory syndrome (SARS). SARS-associated mortality may exceed 50% for persons aged 60 years or older. Heightened susceptibility of the elderly to severe SARS and the ability of SARS coronavirus to replicate in mice led us to examine whether aged mice might be susceptible to disease. We report here that viral replication in aged mice was associated with clinical illness and pneumonia, demonstrating an age-related susceptibility to SARS disease in animals that parallels the human experience.

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 · 10.1128/jvi.79.9.5833-5838.2005

Cites

4 of 4 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 4 references

Cited by

See all 198

Metadata

Authors
Roberts, A., Paddock, C., Vogel, L., Butler, E., Zaki, S., & Subbarao, K.
Venue
Journal of Virology
Published
2005-05
Volume
79
Issue
9
Pages
5833-5838
ISSN
  • 0022-538X (ISSN-L)
  • 1098-5514
OpenAlex
W2129655352
Cited by
198
References
4
FWCI
11.40
Type
journal article
Language
en
Open access
green

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: Aged BALB/c Mice as a Model for Increased Severity of Severe Acute Respiratory Syndrome in Elderly Humans. https://app.cochat.ai/papers/10.1128/jvi.79.9.5833-5838.2005
The paper
Roberts, A., Paddock, C., Vogel, L., Butler, E., Zaki, S., & Subbarao, K. (2005). Aged BALB/c Mice as a Model for Increased Severity of Severe Acute Respiratory Syndrome in Elderly Humans. Journal of Virology. https://doi.org/10.1128/jvi.79.9.5833-5838.2005

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.