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Cited by 1,505

The DOI matches its Crossref record.

Comprehensive Physiology

·2011·Wiley eBooks

Abstract

Comprehensive Physiology is the most authoritative and comprehensive collection of physiology information ever assembled, and uses the most powerful features of review journals and electronic reference works to cover the latest key developments in the field, through the most authoritative articles on the subjects covered. This makes Comprehensive Physiology a valued reference work on the evolving science of physiology for both researchers and clinicians. It also provides a useful teaching tool for instructors and an informative resource for medical students and other students in the life and health sciences. The quarterly serial format of Comprehensive Physiology means it is indexed in the major indexing and abstracting services, including MEDLINE/PubMed and TRSI (formerly ISI).

Overview

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Integrity signals

Registry

Crossref · 10.1002/cphy

Cites

Statistics

Verification

Claims the paper makes

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Self-check

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Citations

Cited by

Metadata

Venue
Wiley eBooks
Publisher
Wiley
Published
2011-01-31
OpenAlex
W2787983500
Cited by
1,505
References
0
Type
reference entry
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm)

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.

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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.