Bibliyometrik Araştırmalarda Topic Arama Stratejisinin Handikapları ve Potansiyel Tehlikeleri

Yıl 2024, Cilt: 4 Sayı: 2, 93 - 110, 31.12.2024

Mehmet Nurullah Kurutkan

Öz

Amaç: Bu çalışmanın amacı, bibliyometrik araştırmalarda kullanılan topic arama stratejilerinin doğru uygulanmadığında nasıl yanıltıcı sonuçlara ve bilimsel analizlerde ciddi hatalara yol açabileceğini göstermek ve bu hataların potansiyel tehlikelerini detaylı bir şekilde incelemektir.
Yöntem: Web of Science veri tabanında yapılan topic aramalarında karşılaşılan altı ana sorun belirlenmiştir. Her bir sorun için örnek arama stratejileri geliştirilmiş ve elde edilen sonuçlar detaylı bir şekilde analiz edilmiştir. Sorunların nedenleri ve bibliyometrik analizlere etkileri görseller ve örneklerle desteklenerek incelenmiştir.
Bulgular: Çalışma sonucunda aşağıdaki sorunlar tespit edilmiştir: a) Sponsor olarak kodlandığı için arama stratejisine dahil edilme, b) Fon sağlayıcı kurumların isimlerinin arama sonuçlarını etkilemesi, c) Adres kaynaklı semantik karmaşa ve veri kirliliği, d) Disiplinlerin doğası gereği kullanılan ve arama stratejisine zarar veren kısaltmalar, e) Web of Science’a özgü Keywords Plus uygulamasının yarattığı sorunlar, f) Kelime ve sayı kombinasyonlarının beraber yazıldığı kavramlarda ilgisiz yayınların dahil edilmesi.
Sonuç: Bu sorunlar, bibliyometrik analizlerin güvenilirliğini ve geçerliliğini zedelemekte, araştırma sonuçlarının yanıltıcı olmasına neden olmaktadır. Araştırmacıların arama stratejilerini titizlikle planlamaları, veri temizliği süreçlerine önem vermeleri ve metodolojik olarak sağlam bir yaklaşım benimsemeleri gerekmektedir.

Anahtar Kelimeler

: Bibliyometrik Analiz, Topic Arama Stratejisi, Web of Science, Metodolojik Sorunlar, Veri Temizliği.

Kaynakça

• Abubakr, M., Hassan, M. A., Krolczyk, G. M., Khanna, N., & Hegab, H. (2021). Sensors selection for tool failure detection during machining processes: A simple accurate classification model. CIRP Journal of Manufacturing Science and Technology, 32, 108-119.
• Arslan Aras, İ. (2024). Past themes and future trends in the economic dimensıon of COVID-19 research: a co-word analysis. Academic Journal of Health Sciences: Medicina Balear, 39(1), 135-140.
• Bağış, M., Kryeziu, L., Kurutkan, M. N., & Ramadani, V. (2023c). Women entrepreneurship in family business: dominant topics and future research trends. Journal of Family Business Management, 13(3), 687-713.
• Bağış, M., Kryeziu, L., Kurutkan, M. N., Krasniqi, B. A., Yazıcı, O., & Memili, E. (2023b). Topics, trends and theories in family business research: 1996–2020. International Entrepreneurship and Management Journal, 19(4), 1855-1891.
• Bağış, M., Kurutkan, M. N., & Kryeziu, L. (2023a). Entrepreneurship Studies in Türkiye: Where are We? Where Should We Go? Analysis of International Publications. In V. Ramadani & R. Ratten (Eds.), Entrepreneurship Development in the Balkans: Perspective from Diverse Contexts (pp.275-302). Emerald Publishing Limited.
• Balbay, E. G., Kurutkan, M. N., Yıldız, P., & Balbay, Ö. (2024). Earthquake-Related Lung Diseases; A Bibliometric Analysis of Publications. Sağlık Bilimlerinde Değer, 14(1), 8-17.
• Clarivate. (2022). KeyWords Plus generation, creation, and changes. Erişim adresi: https://support.clarivate.com/ScientificandAcademicResearch/s/article/KeyWords-Plus-generation-creation-and-changes?language=en_US
• Çil Koçyiğit, S., Arslan Aras, İ., Çelik, G., & Günenç, E. Ö. (2023). Bibliometric mapping of studies on green accounting in health. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 10(2), 1627-1645.
• Deng, Z., Wang, K., Wang, H., Lan, T., Zhan, H., & Niu, W. (2017). A finite element study of traditional Chinese cervical manipulation. European Spine Journal, 26, 2308-2317.
• Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
• Ferreira, A., Cruz-Correia, R., Antunes, L., Farinha, P., Oliveira-Palhares, E., Chadwick, D. W., & Costa-Pereira, A. (2006, June). How to break access control in a controlled manner. In 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) (pp. 847-854). IEEE.
• Golder, S., Loke, Y. K., & McIntosh, H. M. (2008). Poor reporting and inadequate searches were apparent in systematic reviews of adverse effects. Journal of Clinical Epidemiology, 61(5), 440-448. https://doi.org/10.1016/j.jclinepi.2007.06.005
• Gulen, T. A., Turunç, T., Şahin, A. R., Oruç, E., & Kurutkan, M. N. (2022). Evaluation of the effect of the COVID-19 pandemic on mucormycosis studies with bibliometric analysis. Medicine, 101(48), e32118.
• Guo, M., Li, W., Han, N., Wang, J., Su, J., Li, J., & Zhang, X. (2018). Novel dual-component microencapsulated hydrophobic amine and microencapsulated isocyanate used for self-healing anti-corrosion coating. Polymers, 10(3), 319.
• Güley, A. Ö., & Kurutkan, M. N. (2021). Bibliometric Analysis of the Concept of Quality in Healthcare: Studies and Trends. Journal of Innovative Healthcare Practices, 2(1), 1-22.
• Gülhan, P. Y., & Kurutkan, M. N. (2021). Bibliometric analysis of COVID-19 publications in the field of chest and infectious diseases. Duzce Medical Journal, 23(1), 30-40.
• Hanson, M. A., Barreiro, P. G., Crosetto, P., & Brockington, D. (2024). The strain on scientific publishing. Quantitative Science Studies, 1-21.
• Haskell, S. G., Mattocks, K., Goulet, J. L., Krebs, E. E., Skanderson, M., Leslie, D., Justice, A. C., Yano, E. M., & Brandt, C. (2011). The burden of illness in the first year home: Do male and female VA users differ in health conditions and healthcare utilization. Women's Health Issues, 21(1), 92–97. https://doi.org/10.1016/j.whi.2010.08.001
• Karayel, T., & Kurutkan, M. N. (2022). COVID-19 sürecinde yapay zekâ ve bileşenleri ile ilgili yayınların bibliyometrik analizi. Sağlık Akademisyenleri Dergisi, 9(3), 220-233.
• Kato, K., Takaue, Y., & Wakasugi, H. (2001). T-cell-conditioned medium efficiently induces the maturation and function of human dendritic cells. Journal of Leukocyte Biology, 70(6), 941-949.
• Köse, G., Kurutkan, M. N., & Orhan, F. (2020). Kalp yetmezliği konusunda en çok atıf alan ilk 100 makalenin bibliyometrik analizi. Sağlık Akademisyenleri Dergisi, 7(2), 92-104.
• Kurutkan, M. N., & Terzi, M. (2022). Sağlık hizmetlerinde dış kaynak kullanımının bibliyometrik analizi. Sağlık Bilimlerinde Değer, 12(3), 417-431.
• Lefebvre, C., Manheimer, E., & Glanville, J. (2008). Chapter 6: Searching for studies. In J. P. T. Higgins & S. Green (Eds.), Cochrane Handbook for Systematic Reviews of Interventions (pp. 95-150). Wiley-Blackwell.
• McGowan, J., Sampson, M., Salzwedel, D. M., Cogo, E., Foerster, V., & Lefebvre, C. (2016). PRESS peer review of electronic search strategies: 2015 guideline statement. Journal of clinical epidemiology, 75, 40-46.
• Mejia, C., Wu, M., Zhang, Y., & Kajikawa, Y. (2021). Exploring topics in bibliometric research through citation networks and semantic analysis. Frontiers in Research Metrics and Analytics, 6, 742311.
• Obreja, D. M., Rughiniș, R., & Rosner, D. (2024). Mapping the conceptual structure of innovation in artificial intelligence research: A bibliometric analysis and systematic literature review. Journal of Innovation & Knowledge, 9(1), 100465.
• Öget, B., Kurutkan, M. N., & Bağış, M. (2024). A bibliometric analysis of the knowledge structure of reflective learning in the health sciences. Journal of Innovative Healthcare Practices, 5(1), 11-29.
• Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: an overview and a framework proposal. Review of managerial science, 1-29.
• Pechenizkiy, M., Tsymbal, A., Puuronen, S., & Pechenizkiy, O. (2006, June). Class noise and supervised learning in medical domains: The effect of feature extraction. In 19th IEEE symposium on computer-based medical systems (CBMS'06) (pp. 708-713). IEEE.
• Pereira, V., Basilio, M. P., & Santos, C. H. T. (2023). pyBibX--A Python Library for Bibliometric and Scientometric Analysis Powered with Artificial Intelligence Tools. arXiv preprint arXiv:2304.14516.
• Qiu, J. P., Dong, K., & Yu, H. Q. (2014). Comparative study on structure and correlation among author co-occurrence networks in bibliometrics. Scientometrics, 101, 1345-1360.
• Quan, H., Li, B., Couris, C. M., Fushimi, K., Graham, P., Hider, P., ... & Sundararajan, V. (2011). Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. American journal of epidemiology, 173(6), 676-682.
• Sampson, M., McGowan, J., Lefebvre, C., Moher, D., & Grimshaw, J. (2006). PRESS: Peer review of electronic search strategies. Ottawa: Canadian Agency for Drugs and Technologies in Health.
• Schmidt, J. (1984). The significance of ultrasound diagnosis as a screening method in pregnancy - Report of experience. Zentralblatt für Gynäkologie, 106(19), 1301–1308.
• Sergentu, D. C., Maurice, R., Havenith, R. W., Broer, R., & Roca-Sanjuán, D. (2014). Computational determination of the dominant triplet population mechanism in photoexcited benzophenone. Physical Chemistry Chemical Physics, 16(46), 25393-25403
• Spiegelman, F., Tarrat, N., Cuny, J., Dontot, L., Posenitskiy, E., Martí, C., ... & Rapacioli, M. (2020). Density-functional tight-binding: basic concepts and applications to molecules and clusters. Advances in physics: X, 5(1), 1710252
• Taşkan, B., Bakır, M., & Taşkan, E. (2021). Enhanced power generation from algal biomass using multi‐anode membrane‐less sediment microbial fuel cell. International Journal of Energy Research, 45(2), 2011-2022.
• Thelwall, M. (2021). Scopus 1900–2020: Growth in articles, abstracts, affiliations, and countries. Quantitative Science Studies, 3(1), 37–50.
• Ullah, M., Shahid, A., Din, I. U., Roman, M., Assam, M., Fayaz, M., ... & Aljuaid, H. (2022). Analyzing Interdisciplinary Research Using Co‐Authorship Networks. Complexity, 2022(1), 2524491.
• Wang, C., Chen, X., Yu, T., Liu, Y., & Jing, Y. (2024). Education reform and change driven by digital technology: a bibliometric study from a global perspective. Humanities and Social Sciences Communications, 11(1), 1-17.
• Wang, S., Yang, J., Qian, J., Wezeman, M., Kwak, L. W., & Yi, Q. (2006). Tumor evasion of the immune system: inhibiting p38 MAPK signaling restores the function of dendritic cells in multiple myeloma. Blood, 107(6), 2432-2439.
• Yıldırım, F., Gülhan, P. Y., Karaman, İ., & Kurutkan, M. N. (2022). Bibliometric analysis of acute respiratory distress syndrome (ARDS) studies published between 1980 and 2020. Advances in Clinical and Experimental Medicine, 31(7), 807-813.
• Yu, Y., Wang, S., Yu, P., Wang, D., Hu, B., Zheng, P., & Zhang, M. (2024). A bibliometric analysis of emerging contaminants (ECs)(2001− 2021): Evolution of hotspots and research trends. Science of The Total Environment, 907, 168116.
• Zhang, R., Ai, T., Zhou, H. W., Ju, Y., & Zhang, Z. T. (2015). Fractal and volume characteristics of 3D mining-induced fractures under typical mining layouts. Environmental earth sciences, 73, 6069-6080
• Zyoud, S. E. H., Alalalmeh, S. O., Hegazi, O. E., Shakhshir, M., Abushamma, F., & Al-Jabi, S. W. (2024). An examination of global research trends for exploring the associations between the gut microbiota and nonalcoholic fatty liver disease through bibliometric and visualization analysis. Gut Pathogens, 16(1), 31.