Application of data analysis in exercise-related skeletal muscle research

Rui Xia; Xiaoqin Zhao; Huayu Shang

doi:10.1117/12.2672210

28 March 2023 Application of data analysis in exercise-related skeletal muscle research

Rui Xia, Xiaoqin Zhao, Huayu Shang

Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125971N (2023) https://doi.org/10.1117/12.2672210
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

About 1.71 billion people worldwide suffer from musculoskeletal diseases, and since exercise is an effective non-drug intervention, it is necessary to figure out the status of Exercise-Related Skeletal Muscle (ERSM) research in the past two decades and future trends. In this study, research trend of articles published in Web of Science were analyzed by R software. The results of research hotspot analysis show that the research from 2002 to 2021 mainly focuses on physiological mechanisms, such as skeletal muscle protein synthesis, oxidative stress and so on. Thematic evolution analysis shows that in the future, we should focus on the research on the gene-expression related to skeletal muscle and the mechanism of skeletal muscle metabolism, such as physiological mechanisms, glucose transport and insulin resistance, which will become the focus of future scholars.

Citation Download Citation

Rui Xia, Xiaoqin Zhao, and Huayu Shang "Application of data analysis in exercise-related skeletal muscle research", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125971N (28 March 2023); https://doi.org/10.1117/12.2672210

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available