Covid-19 Konusunda Yapılan Bilimsel Çalışmaların Görsel Haritalama Tekniği İle Bibliyometrik Analizi

Bu çalışmanın temel amacı, günümüz pandemi döneminin en önemli konusu olan Covid-19 başlıklı çalışmaların görsel haritalama teknikleri kullanılarak, bibliyometrik analiz tekniği ile incelenmesidir. Çalışmada bibliyometrik analiz için çok uygun olan ve çok prestijli yayınları içerisinde barındıran Web of Science veri tabanı kullanılmıştır. Belirli bir arama stratejisi kullanılarak bu veri tabanında “Covid-19” kelimesi “title” (başlıklarda) olarak aratılmıştır. Çalışmada, Covid-19 başlıklı makaleler 2019 ve 2020 yıllarını kapsamakta olup, toplamda 52305 yayına ulaşılmıştır. Bu yayında görsel haritalama için, VOSviewer yazılımı kullanılarak; kelime madenciliği, atıf ve bibliyometrik eşleştirme analizleri yapılmıştır. Covid-19 alanında en fazla yayın yapan ülkeler Amerika Birleşik Devletleri(n=14558) ve Çin(n=5959) olup; Türkiye 1253 yayın sayısı ile 13. sırada yer almaktadır. Tüm yayınların %95,2’si İngilizce dilinde yazılmış olup (n=49827); Türkçe dilinde ise 70 yayın yapılmıştır. En çok yayın İç Hastalıkları (n=8298) alanında yapılmış; en fazla yayın yapan yazar Wang Y; en fazla atıf alan yazar ise Zhou ve arkadaşlarıdır. Covid-19 alanında en çok makale yayınlayan dergi BMJ British Medical Journal; en çok yayın yapan üniversite ise 1630 yayın ile Harvard Üniversitesidir. Covid-19 Pandemisi döneminde sağlık çalışanları en ön safta hayatlarını ortaya koyarak mücadele ederken, yine birçoğu sağlık çalışanı olan akademisyenler ise ürettikleri bilimsel yayınlar ile bilgi ve birikimlerini bilim dünyası ile paylaşmışlardır. Zamanla yarışılan bu dönemde, bilimsel yayınların bibliyometrik analizinin yapılarak, araştırmacılara bir yol haritası sunabilmek ise çok önemlidir. Bu bağlamda hazırlanan bu çalışmada Covid-19 konusu ile ilgili olarak yapılan araştırmalara holistik bir bakış açısı sunularak; politika yapıcı, akademisyen, öğrenci ve tüm paydaşlar için istifade edebilecekleri bir kaynak metin oluşturulmaya çalışılmıştır

Bibliometric Analysis of Scientific Studies on Covid-19 With Visual Mapping Technique

The main aim of this study is to examine the Covid-19 studies, which are the most important subject of today's pandemic period, using visual mapping techniques and using bibliometric analysis techniques. In the study, the Web of Science database, which is very suitable for bibliometric analysis and contains very prestigious publications, was used. The word " Covid-19" was searched as "title" in this database using a specific search strategy. In the study, Covid-19 articles cover the years 2019 and 2020, and a total of 52305 publications were reached. For visual mapping in this publication, word mining, citation and bibliometric matching analyses were performed using VOSviewer software. The countries with the highest number of publications in Covid-19 are the United States (n=14558) and China (n=5959), and Turkey ranks 13th with 1253 the number of publications. 95.2% of all publications were written in English (n = 49827) and 70 publications were written in Turkish. The most publications are in the field of Internal Medicine (n=8298), and the author with the most publications is Wang Y. and the author with the most citations is Zhou and et al. The journal that publishes the most articles in the field of Covid-19 is BMJ British Medical Journal and the university with the highest number of publications is Harvard University with 1630 publications. During the Covid-19 pandemic, health workers are struggling by putting their lives on the front line. Besides, academicians, many of whom are health professionals, have shared their knowledge and experience with the scientific world through the scientific publications they have produced. In this period of time competition, it is very important to be able to provide researchers with a roadmap by conducting the bibliometric analysis of scientific publications. In this context, a holistic view of the research on Covid-19 was presented in this study and a source text was tried to be created for policymakers, academicians, students and all stakeholders to benefit from

___

  • Arora, P., Jafferany, M., Lotti, T., Sadoughifar, R., & Goldust, M. (2020). Learning from history: Coronavirus outbreaks in the past. Dermatologic Therapy, e13343.
  • Burnet, M., Burnet, F. M., & White, D. O. (1972). Natural history of infectious disease. CUP Archive.
  • Chahrour, M., Assi, S., Bejjani, M., Nasrallah, A. A., Salhab, H., Fares, M., & Khachfe, H. H. (2020). A bibliometric analysis of Covid-19 research activity: A call for increased output. Cureus, 12(3), e7357. https://doi.org/10.7759/cureus.7357
  • Dehghanbanadaki, H., Seif, F., Vahidi, Y., Razi, F., Hashemi, E., Khoshmirsafa, M., & Aazami, H. (2020). Bibliometric analysis of global scientific research on Coronavirus (COVID-19). Medical Journal of The Islamic Republic of Iran (MJIRI), 34(1), 354-362.
  • Fauci, A. S., Lane, H. C., & Redfield, R. R. (2020). Covid-19—Navigating The Uncharted. N Engl J Med 2020; 382,1268-1269
  • Guan, W. J., Ni, Z. Y., Hu, Y., Liang, W. H., Ou, C. Q., He, J. X., ... & Du, B. (2020). Clinical characteristics of coronavirus disease 2019 in China. New England Journal of Medicine, 382(18), 1708-1720.
  • Guo, Y. R., Cao, Q. D., Hong, Z. S., Tan, Y. Y., Chen, S. D., Jin, H. J., ... & Yan, Y. (2020). The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak–an update on the status. Military Medical Research, 7(1), 1-10.
  • Hamidah, I., Sriyono, S., & Hudha, M. N. (2020). A Bibliometric Analysis of Covid-19 Research using VOSviewer. Indonesian Journal of Science and Technology, 5(2), 34-41.
  • Hossain, M. M. (2020). Current status of global research on novel coronavirus disease (Covid-19): A bibliometric analysis and knowledge mapping. Hossain MM. Current status of global research on novel coronavirus disease (COVID-19): a bibliometric analysis and knowledge mapping version 1, F1000Research, 9:374, https://doi.org/10.12688/f1000research.23690.1
  • Hu, Y. J., Chen, M. M., Wang, Q., Zhu, Y., Wang, B., Li, S. F., ... & Hu, Y. H. (2020). From SARS to COVID-19: A Bibliometric study on Emerging Infectious Diseases with Natural Language Processing Technologies, https://assets.researchsquare.com/files/rs25354/v1/bmcarticle.pdf
  • Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., ... & Cheng, Z. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, The Lancet, 395(10223), 497-506.
  • Jones, D. S. (2020). History in a crisis—lessons for Covid-19. New England Journal of Medicine, 382(18), 1681-1683.
  • Kumar, K. (2020). Mapping of PubMed Literature on Early Trends of 2019 Novel Coronavirus (COVID-19). https://doi.org/10.21203/rs.3.rs-28215/v1.
  • Kurutkan, M. N., & Orhan, F. (2018a). Kalite Prensiplerinin Görsel Haritalama Tekniğine Göre Bibliyometrik Analizi. SAGE Yayınları.
  • Kurutkan, M. N., & Orhan, F. (2018b). Sağlık Politikası Konusunun Bilim Haritalama Teknikleri ile Analizi. İksad Yayınları.
  • Lou, J., Tian, S. J., Niu, S. M., Kang, X. Q., Lian, H. X., Zhang, L. X., & Zhang, J. J. (2020). Coronavirus disease 2019: a bibliometric analysis and review. Eur Rev Med Pharmacol Sci, 24(6), 3411-21.
  • Mehta, P., McAuley, D. F., Brown, M., Sanchez, E., Tattersall, R. S., & Manson, J. J. (2020). COVID-19: consider cytokine storm syndromes and immunosuppression. The Lancet, 395(10229), 1033-1034.
  • Mongeon, P. & Paul-Hus, A. (2016). The journal coverage of web of science and scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/ s11192- 015-1765-5.
  • Nasab, F. R. (2020). Bibliometric analysis of global scientific research on SARSCoV-2 (COVID19). medRxiv. https://doi.org/10.1101/2020.03.19.20038752
  • Srivastava, N., Baxi, P., Ratho, R. K., & Saxena, S. K. (2020). Global trends in epidemiology of coronavirus disease 2019 (COVID-19). In Coronavirus Disease 2019 (COVID-19) (pp. 9- 21). Springer, Singapore.
  • Sharma, R., Agarwal, M., Gupta, M., Somendra, S., & Saxena, S. K. (2020). Clinical Characteristics and Differential Clinical Diagnosis of Novel Coronavirus Disease 2019 (COVID-19). In Coronavirus Disease 2019 (COVID-19) (pp. 55-70). Springer, Singapore.
  • Singh, S., Soni, V. M., & Munjal, N. (2020). Conceptual structure and perspectives on corona virus research: a bibliometric study. Purakala with ISSN 0971-2143 is an UGC CARE Journal, 31(28), 78-82.
  • Tao, Z., Zhou, S., Yao, R., Wen, K., Da, W., Meng, Y., Yang, K., Liu, H. & Tao, L. (2020). COVID-19 will stimulate a new coronavirus research breakthrough: a 20-year bibliometric analysis. Annals of Translational Medicine, 8(8),528, https://doi.org/10.21037/atm.2020.04.26.
  • Van Doorn, H. R. (2014). Emerging infectious diseases. Medicine, 42(1), 60-63.
  • Van, Eck N.J. & Waltman, L. (2010). Software survey: vosviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84 (2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
  • Wang, M., Cao, R., Zhang, L., Yang, X., Liu, J., Xu, M., ... & Xiao, G. (2020). Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell Research, 30(3), 269-271.
  • WHO. (2020). World Health Organization Coronavirus (COVID-19) Dashboard, https://covid19.who.int/
  • Wu, Z., & McGoogan, J. M. (2020). Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. Jama, 323(13), 1239-1242.
  • Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., ... & Tai, Y. (2020). Pathological findings of COVID-19 associated with acute respiratory distress syndrome. The Lancet respiratory medicine, 8(4), 420-422.
  • Zhou, Y., & Chen, L. (2020). Twenty-Year Span of Global Coronavirus Research Trends: A Bibliometric Analysis. International Journal of Environmental Research and Public Health, 17(9), 3082.
  • Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., ... & Guan, L. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet. 395 (10229), 1054-1062.