Bibliometric Analysis of The Last 40 Years of Chest Journal

Abstract

Chest Journal, which began to be scanned in the Web of Science in 1980, is one of the leading journals in the field of Critical Care Medicine and Respiratory System (quartile 1). In this study, the research trends of the publications in the Chest Journal were examined using three different bibliometric analysis programs (Bibliometrix, VOSviewer, and CiteSpace) in the period between 1980-2019. Along with the main statistics, keyword co-occurrence network map, density document co-citation, time map, and burst (references) analysis were performed. According to the results of the analysis, the research trends of Chest Journal were subject to discussion. The countries with the most publications are America, Canada, the United Kingdom, France, and Japan. According to the Co-Occurrence network map analysis, Chest journal's publications consist of clusters of cellular structures, thoracic oncology, chest infection, pulmonary and cardiovascular, sleep and pulmonary function test, and obstructive lung diseases. The studies in the "COPD / Formoterol Metered Dose inhaler" and "Patients / VTE disease chest guideline" clusters were found to be the most recent studies. This article has the potential to provide a valuable reference for scientists to understand Chest Journal's research trends and to grasp current issues in the field.

Keywords

• Chest
• Bibliometric analysis
• VOSviewer
• CiteSpace

Chest Dergisinin Son 40 Yılının Bibliyometrik Analizi

Abstract

1980 yılında Web of Science'ta taranmaya başlayan Chest Journal, Critical Care Medicine and Respiratory System (quartile 1) alanında önde gelen dergilerden biridir. Bu çalışmada Chest Journal'da yer alan yayınların araştırma trendleri 1980-2019 döneminde üç farklı bibliyometrik analiz programı (Bibliometrix, VOSviewer ve CiteSpace) kullanılarak incelenmiştir. Ana istatistiklerin yanı sıra, anahtar kelime birlikte oluşum ağ haritası, yoğunluk belgesi birlikte atıf, zaman haritası ve patlama (referanslar) analizi gerçekleştirildi. Analiz sonuçlarına göre Chest Journal'ın araştırma trendleri tartışmaya açıldı. Co-Occurrence ağ haritası analizine göre, en çok yayını olan ülkeler Amerika, Kanada, Birleşik Krallık, Fransa ve Japonya'dır. Chest dergisinin yayınları hücresel yapı kümeleri, torasik onkoloji, göğüs enfeksiyonu, pulmoner ve kardiyovasküler, uyku ve pulmoner fonksiyon testi ve obstrüktif akciğer hastalıklarından oluşmaktadır. "COPD / Formoterol Ölçülü Doz inhaleri" ve "Hastalar / VTE hastalığı göğüs kılavuzu" kümelerindeki çalışmalar en son çalışmalar olarak bulundu. Bu makale, bilim adamlarının Chest Journal'ın araştırma eğilimlerini anlamaları ve bu alandaki güncel sorunları kavramaları için değerli bir referans sağlama potansiyeline sahiptir.

Keywords

• Chest
• Bibliometrik analiz
• Bibliometrix
• VOSviewer
• CiteSpace

References

1. [1] P. Nieminen, T. Toljamo and H Vähänikkilä, ‘‘Reporting data analysis methods in high-impact respiratory journals,’’ ERJ Open Res, vol. 4, no. 2, pp. 00140-2017, 2018.
2. [2] R. Andonie and I. Dzitac, ‘‘How to write a good paper in computer science and how will it be measured by ISI Web of Knowledge,’’ International Journal of Computers, Communications & Control, vol. 4, pp. 432-446, 2010.
3. [3] G. Shang, B. Saladin, T. Fry and J Donohue, ‘‘Twenty-six years of operations management research (1985–2010): authorship patterns and research constituents in eleven top rated journals,’’ International Journal of Production Research, vol. 53, no. 20, pp. 6161-6197, 2015.
4. [4] DAR. Huarachi, CM. Piekarski, FN. Puglieri and AC. Francisco, ‘‘Past and future of Social Life Cycle Assessment: Historical evolution and research trends,’’ Journal of Cleaner Production, vol. 264, pp. 121506, 2020.
5. [5] X. Zou and HL. Vu, ‘‘Mapping the knowledge domain of road safety studies: A scientometric analysis,’’ Accident Analysis and Prevention, vol. 132, pp. 105243, 2019. [6] W. Xue, H. Li, R. Ali and RU. Rehman, ‘‘Knowledge Mapping of Corporate Financial Performance Research: A Visual Analysis Using Cite Space and Ucinet,’’ Sustainability, vol. 12, no. 9, pp. 3554, 2020.
6. [7] XS. Ren and YJ. Liu, ‘‘A bibliometric analysis on higher education curricula model,’’ In 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018), Atlantis Press, 2018.
7. [8] PN. Hsieh and PL Chang. ‘‘An assessment of world-wide research productivity in production and operations management,’’ Int. J. Prod. Econ’, vol. 120, no. 2, pp. 540-551, 2000.
8. [9] C. Wang, MK. Lim, L. Zhao, ML. Tseng, CF. Chien and B. Lev, ‘‘The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview,’’ Omega, no. 93, pp. 102098, 2020.

9. [10] G. Zurita, AK. Shukla, JA. Pino, JM. Merigó, V. Lobos-Ossandón and PK. Muhuri, ‘‘A bibliometric overview of the Journal of Network and Computer Applications between 1997 and 2019,’’ Journal of Network and Computer Applications, no. 165, pp. 102695, 2020.
10. [11] P. Ahmad and HAM. Elgamal, ‘‘Citation Classics in the Journal of Endodontics and a Comparative Bibliometric Analysis with the Most Downloaded Articles in 2017 and 2018. Journal of Endodontics,’’ vol. 46, no. 8, pp. 1042-1051, 2020.
11. [12] AW. Peters, MK. Savaglio, ZJ. Gunderson, G. Adam, AJ. Milto, EC. Whipple, RT. Loder and MA. Kacena, ‘‘Comparative analysis of authorship trends in the Journal of Hand Surgery European and American volumes: A bibliometric analysis,’’ Annals of Medicine and Surgery (Lond), no. 55, pp. 200-206, 2020.
12. [13] XT. Lei and QY. Xu, ‘‘Evolution and thematic changes of Journal of King Saud University–Science between 2009 and 2019: A bibliometric and visualized review,’’ Journal of King Saud University-Science, vol. 32, no. 3, pp. 2074-2080, 2020.
13. [14] N. Donthu, S. Kumar and D. Pattnaik, ‘‘Forty-five years of journal of business research: a bibliometric analysis’’, Journal of Business Research, vol. 109, no. 3, pp. 1–14, 2020.
14. [15] HSJ. Kim, M. Wahid, C. Choi, P. Das, S. Jung and F. Khosa, ‘‘Bibliometric analysis of manuscript characteristics that influence citations: A comparison of ten major dermatology journals,’’ Burns, no. 20, pp. 30354-30355, 2020.
15. [16] ME. Falagas, EI. Pitsouni, GA. Malietzis and G. Pappas, ‘‘Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses,’’ FASEB Journal, vol. 22, no. 2, pp. 338-342, 2008.
16. [17] L. Bornmann and HD. Daniel, ‘‘What do we know about the h index?,’’ Journal of the American Society for Information Science and Technology, vol. 58, no. 9, pp. 1381-1385, 2007.
17. [18] L. Egghe, ‘‘Theory and practise of the g-index,’’ Scientometrics, vol. 69, no. 1, pp. 131-152, 2006.
18. [19] AW. Harzing, ‘‘Reflections on the h-index,’’ Business&Leadership, vol. 1, no. 9, pp. 101-106, 2012.
19. [20] C. Chen, ‘‘CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature,’’ Journal of the American Society for Information Science and Technology, vol. 57, no. 3, pp. 359-377, 2006.
20. [21] M. Ware and M. Mabe, ‘‘The STM report: An overview of scientific and scholarly journal publishing,’’ 2015.
21. [22] GS. Patience, CA. Patience, B. Blais and F. Bertrand, ‘‘Citation analysis of scientific categories,’’ Heliyon, vol.3, no. 5, pp. e00300, 2017.
22. [23] M. Anglada-Tort and KRM. Sanfilippo, ‘‘Visualizing Music Psychology: A Bibliometric Analysis of Psychology of Music, Music Perception, and Musicae Scientiae from 1973 to 2017,’’ Musicae Scientiae, vol. 2, pp. 1-18, 2019.
23. [24] I. Kisjes, Report: How do the large research nations compare? (2013, December 10). Retrieved from https://www.elsevier.com/connect/report-how-do-the-large-research-nations-compare