Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 265

The DOI matches its Crossref record; 431 of the 431 references it cites were found in a registry or an index.

The biological pathways of Alzheimer disease: a review

Open access
Calabrò, Marco, Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy, Rinaldi, Carmela, Santoro, Giuseppe, Crisafulli, Concetta·2021·AIMS Neuroscience

Abstract

Alzheimer disease is a progressive neurodegenerative disorder, mainly affecting older people, which severely impairs patients' quality of life. In the recent years, the number of affected individuals has seen a rapid increase. It is estimated that up to 107 million subjects will be affected by 2050 worldwide. Research in this area has revealed a lot about the biological and environmental underpinnings of Alzheimer, especially its correlation with β-Amyloid and Tau related mechanics; however, the precise molecular events and biological pathways behind the disease are yet to be discovered. In this review, we focus our attention on the biological mechanics that may lie behind Alzheimer development. In particular, we briefly describe the genetic elements and discuss about specific biological processes potentially associated with the disease.

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 · 10.3934/neuroscience.2021005

Cites

431 of 431 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

1 retracted

Show all 431 references

Cited by

See all 265

Metadata

Authors
Calabrò, M., Department of Biomedical and Dental Sciences and Morphofunctional Imaging, U. O. M., Rinaldi, C., Santoro, G., & Crisafulli, C.
Venue
AIMS Neuroscience
Published
2021
Volume
8
Issue
1
Pages
86-132
ISSN
2373-7972 (ISSN-L)
OpenAlex
W3112246556
Cited by
265
References
431
FWCI
14.83
Type
journal article
Language
en
Open access
gold

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: The biological pathways of Alzheimer disease: a review. https://app.cochat.ai/papers/10.3934/neuroscience.2021005
The paper
Calabrò, M., Department of Biomedical and Dental Sciences and Morphofunctional Imaging, U. O. M., Rinaldi, C., Santoro, G., & Crisafulli, C. (2021). The biological pathways of Alzheimer disease: a review. AIMS Neuroscience. https://doi.org/10.3934/neuroscience.2021005

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.