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Mapping Maternal Health in the New Media Environment: A Scientometric Analysis

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  • Yinghua Xie

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Center for Rural Health Service, Key Research Institute of Humanities and Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

  • Dong Lang

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Center for Rural Health Service, Key Research Institute of Humanities and Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

  • Shuna Lin

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Center for Rural Health Service, Key Research Institute of Humanities and Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

  • Fangfei Chen

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Center for Rural Health Service, Key Research Institute of Humanities and Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

  • Xiaodong Sang

    (China Biotechnology Development Center, Beijing 100039, China)

  • Peng Gu

    (China Science and Technology Exchange Center, Beijing 100045, China)

  • Ruijun Wu

    (China Biotechnology Development Center, Beijing 100039, China)

  • Zhifei Li

    (China Biotechnology Development Center, Beijing 100039, China)

  • Xuan Zhu

    (School of Computer, Central China Normal University, Wuhan 430079, China)

  • Lu Ji

    (School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
    Research Center for Rural Health Service, Key Research Institute of Humanities and Social Sciences of Hubei Provincial Department of Education, Wuhan 430030, China)

Abstract

Background: The new media provides a convenient platform to access, use and exchange health information. And as a special group of health care, maternal health care is still of international concern due to their high mortality rate. Scientific research is a good way to provide advice on how to improve maternal health through stringent reasoning and accurate data. However, the dramatic increase of publications, the diversity of themes, and the dispersion of researchers may reduce the quality of information and increase the difficulty of selection. Thus, this study aims to analyze the research progress on maternal health under the global new media environment, exploring the current research hotspots and frontiers. Methods: A scientometric analysis was carried out by CiteSpace5.7.R1. In total, 2270 articles have been further analyzed to explore top countries and institutions, potential articles, research frontiers, and hotspots. Results: The publications ascended markedly, from 29 in 2008 to 472 publications by 2020. But there is still a lot of room to grow, and the growth rate does not conform to the Price’s Law. Research centers concentrated in Latin America, such as the University of Toronto and the University of California. The work of Larsson M, Lagan BM and Tiedje L had high potential influence. Most of the research subjects were maternal and newborn babies, and the research frontiers were distributed in health education and psychological problems. Maternal mental health, nutrition, weight, production technology, and equipment were seemingly hotspots. Conclusion: The new media has almost brought a new era for maternal health, mainly characterized by psychological qualities, healthy and reasonable physical conditions and advanced technology.

Suggested Citation

  • Yinghua Xie & Dong Lang & Shuna Lin & Fangfei Chen & Xiaodong Sang & Peng Gu & Ruijun Wu & Zhifei Li & Xuan Zhu & Lu Ji, 2021. "Mapping Maternal Health in the New Media Environment: A Scientometric Analysis," IJERPH, MDPI, vol. 18(24), pages 1-16, December.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13095-:d:700425
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    References listed on IDEAS

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    1. J. P. Courtial, 1998. "Comments on Leydesdorff's article," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 98-98.
    2. Nutbeam, Don, 2008. "The evolving concept of health literacy," Social Science & Medicine, Elsevier, vol. 67(12), pages 2072-2078, December.
    3. Chaomei Chen, 2012. "Predictive effects of structural variation on citation counts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 431-449, March.
    4. Chen, Chaomei & Song, Min & Heo, Go Eun, 2018. "A scalable and adaptive method for finding semantically equivalent cue words of uncertainty," Journal of Informetrics, Elsevier, vol. 12(1), pages 158-180.
    5. Chantelle Boudreaux & Phetdara Chanthala & Magnus Lindelow, 2014. "Assessing the Elimination of User Fees for Delivery Services in Laos," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-8, March.
    6. Qing Ping & Jiangen He & Chaomei Chen, 2017. "How many ways to use CiteSpace? A study of user interactive events over 14 months," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(5), pages 1234-1256, May.
    7. Rana Dahab & Dikaios Sakellariou, 2020. "Barriers to Accessing Maternal Care in Low Income Countries in Africa: A Systematic Review," IJERPH, MDPI, vol. 17(12), pages 1-17, June.
    8. Shangfeng Tang & Dong Dong & Lu Ji & Hang Fu & Zhanchun Feng & Ghose Bishwajit & Zhifei He & Hui Ming & Qian Fu & Yue Xian, 2015. "What Contributes to the Activeness of Ethnic Minority Patients with Chronic Illnesses Seeking Allied Health Services? A Cross-Sectional Study in Rural Western China," IJERPH, MDPI, vol. 12(9), pages 1-15, September.
    9. Jianhua Hou & Bili Zheng & Yang Zhang & Chaomei Chen, 2021. "How do Price medalists’ scholarly impact change before and after their awards?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5945-5981, July.
    10. Chaomei Chen, 2012. "Predictive effects of structural variation on citation counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 431-449, March.
    11. Tiedje, LindaBeth & Holzman, Claudia B. & De Vos, Eric & Jia, Xu & Korzeniewski, Steve & Rahbar, Mohammad H. & Goble, Monica M. & Kallen, David, 2008. "Hostility and anomie: Links to preterm delivery subtypes and ambulatory blood pressure at mid-pregnancy," Social Science & Medicine, Elsevier, vol. 66(6), pages 1310-1321, March.
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