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Cited by 386

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

Peptic Ulcer Disease

Open access
·2011·InTech eBooks
DOI 10.5772/749
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Abstract

Peptic ulcer disease is one of the most common chronic infections in human population. Despite centuries of study, it still troubles a lot of people, especially in the third world countries, and it can lead to other more serious complications such as cancers or even to death sometimes. This book is a snapshot of the current view of peptic ulcer disease. It includes 5 sections and 25 chapters contributed by researchers from 15 countries spread out in Africa, Asia, Europe, North America and South America. It covers the causes of the disease, epidemiology, pathophysiology, molecular-cellular mechanisms, clinical care, and alternative medicine. Each chapter provides a unique view. The book is not only for professionals, but also suitable for regular readers at all levels.

Overview

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Integrity signals

Registry

Crossref · 10.5772/749

Cites

76 of 76 references verified0 citation errors · 0 not checkable

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Citations

Cites

Cited by

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Metadata

Venue
InTech eBooks
Publisher
InTech
Published
2011-11-04
DOI
10.5772/749
OpenAlex
W3147465689
Cited by
386
References
76
FWCI
72.38
Type
book
Language
en
Open access
green

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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.

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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.