IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i24p13095-d700425.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/24/13095/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/24/13095/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Nutbeam, Don, 2008. "The evolving concept of health literacy," Social Science & Medicine, Elsevier, vol. 67(12), pages 2072-2078, December.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ajiferuke, Isola & Famoye, Felix, 2015. "Modelling count response variables in informetric studies: Comparison among count, linear, and lognormal regression models," Journal of Informetrics, Elsevier, vol. 9(3), pages 499-513.
    2. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
    3. Lanu Kim & Jason H. Portenoy & Jevin D. West & Katherine W. Stovel, 2020. "Scientific journals still matter in the era of academic search engines and preprint archives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1218-1226, October.
    4. Holly N. Wolcott & Matthew J. Fouch & Elizabeth R. Hsu & Leo G. DiJoseph & Catherine A. Bernaciak & James G. Corrigan & Duane E. Williams, 2016. "Modeling time-dependent and -independent indicators to facilitate identification of breakthrough research papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 807-817, May.
    5. Zehra Taşkın, 2021. "Forecasting the future of library and information science and its sub-fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1527-1551, February.
    6. Wanjun Xia & Tianrui Li & Chongshou Li, 2023. "A review of scientific impact prediction: tasks, features and methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 543-585, January.
    7. Jingwei Han & Zhixiong Tan & Maozhi Chen & Liang Zhao & Ling Yang & Siying Chen, 2022. "Carbon Footprint Research Based on Input–Output Model—A Global Scientometric Visualization Analysis," IJERPH, MDPI, vol. 19(18), pages 1-23, September.
    8. Jianwei Qian & Huawen Shen & Rob Law, 2018. "Research in Sustainable Tourism: A Longitudinal Study of Articles between 2008 and 2017," Sustainability, MDPI, vol. 10(3), pages 1-13, February.
    9. Min, Chao & Bu, Yi & Sun, Jianjun, 2021. "Predicting scientific breakthroughs based on knowledge structure variations," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    10. Kaile Gong & Juan Xie & Ying Cheng & Vincent Larivière & Cassidy R. Sugimoto, 2019. "The citation advantage of foreign language references for Chinese social science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1439-1460, September.
    11. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    12. Binglu Wang & Yi Bu & Yang Xu, 2018. "A quantitative exploration on reasons for citing articles from the perspective of cited authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 675-687, August.
    13. Hou, Jianhua & Wang, Dongyi & Li, Jing, 2022. "A new method for measuring the originality of academic articles based on knowledge units in semantic networks," Journal of Informetrics, Elsevier, vol. 16(3).
    14. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    15. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
    16. 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.
    17. Wenbing Luo & Ziyan Tian & Shihu Zhong & Qinke Lyu & Mingjun Deng, 2022. "Global Evolution of Research on Sustainable Finance from 2000 to 2021: A Bibliometric Analysis on WoS Database," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    18. Liang Zhou & Lin Zhang & Ying Zhao & Ruoshu Zheng & Kaiwen Song, 2021. "A scientometric review of blockchain research," Information Systems and e-Business Management, Springer, vol. 19(3), pages 757-787, September.
    19. Zhang, Xinyuan & Xie, Qing & Song, Min, 2021. "Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network," Journal of Informetrics, Elsevier, vol. 15(2).
    20. Chaomei Chen & Zhigang Hu & Jared Milbank & Timothy Schultz, 2013. "A visual analytic study of retracted articles in scientific literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 234-253, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13095-:d:700425. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.