Accepted for/Published in: JMIR Cancer
Date Submitted: Dec 22, 2020
Open Peer Review Period: Jan 6, 2021 - Mar 6, 2021
Date Accepted: May 30, 2021
(closed for review but you can still tweet)
Emerging Trends and Thematic Evolution of Breast Cancer: A Study Based on Knowledge Map and Co-Word Analysis
ABSTRACT
Background:
One of the requirements for scientists and researchers to enter any field of science is to have a correct understanding of that science.
Objective:
This study aims to draw a science map, provide structural analysis, explore the evolution, and find new trends in articles published in the field of breast cancer.
Methods:
This study was a descriptive survey with a scientometric approach. The data for the present study were collected from the Medline and search strategy based on Medical Subject Heading (MeSH) terms. This study used science mapping, which provides a visual representation and a longitudinal evolution of possible interrelations between scientific areas, documents, or authors, reflecting the cognitive architecture of science mapping. As in this scientometric evaluation of breast cancer topic, a very long period was considered for the collection of data and due to the multiplicity of the publications, this assessment was divided into three periods from 1988 to 2020
Results:
A total of 12577 records related to scientometric studies were extracted. The cancer breast research field demonstrated three diagrams containing the most relevant themes for three chronological periods. Each diagram was plotted based on the centrality and density linked to each research topic. The research output in the field was observed to revolve around 8 areas: Themes were included Radiation injury, Cardiovascular disease, Fibroadenoma, Antineoplastic Agent, Estrogen-Antagonistic, Immunohistochemistry, Soybean, and Epitopes with different colors.
Conclusions:
Scientometric analysis of the cancer breast research can be regarded as a roadmap for future research and policymaking in this important area.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.