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Cited by 165

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

What We Know: Findings That Every Theory of Schizophrenia Should Explain

Open access
MacDonald, A. W., Schulz, S. C.·2009·Schizophrenia Bulletin

Abstract

The article summarizes the process used to distill schizophrenia science into 22 facts. These facts consist of 6 basic facts, 3 etiological facts, 6 pharmacological and treatment facts, 5 pathology facts, and 2 behavioral facts that were critically reviewed by the scholarly community through a special initiative in cooperation with the Schizophrenia Research Forum. A subset of 10 of these facts was selected to form a common set of findings to be explained from the different theoretical perspectives included in this special section of Schizophrenia Bulletin. The rationale for this exercise is to distinguish more precisely the areas of agreement and disagreement between theories of schizophrenia and to highlight where more thought and data can make the greatest impact for understanding this disease.

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Registry

Crossref · 10.1093/schbul/sbp017

Cites

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Metadata

Authors
MacDonald, A. W., & Schulz, S. C.
Venue
Schizophrenia Bulletin
Published
2009-03-30
Volume
35
Issue
3
Pages
493-508
ISSN
  • 0586-7614 (ISSN-L)
  • 1745-1701
OpenAlex
W2167000826
Cited by
165
References
26
FWCI
8.31
Type
journal article
Language
en
Open access
bronze

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This page
CoChat. (2026). Citation check: What We Know: Findings That Every Theory of Schizophrenia Should Explain. https://app.cochat.ai/papers/10.1093/schbul/sbp017
The paper
MacDonald, A. W., & Schulz, S. C. (2009). What We Know: Findings That Every Theory of Schizophrenia Should Explain. Schizophrenia Bulletin. https://doi.org/10.1093/schbul/sbp017

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.