Modelling the Growth of Indo-US Collaborated Literature in the Field of Bioinformatics

Authors

Keywords:

Annual Growth Rate, Relative Growth Rate, Doubling Time, Linear Growth Model, Power Growth Model, Exponential Growth Model, Logarithmic Growth Model

Abstract

This study highlights the growth of literature produced as a result of Indo-US collaboration in the Bioinformatics domain covering the period 1999-2021. A total of 719 publications have been produced through Indo-US collaboration in bioinformatics, the data for which has been downloaded using Scopus and has been subjected to analysis using MS-Excel software. To examine the growth pattern and trend in publications various growth models have been applied to the literature. Overall, an increasing trend has been observed and the declining RGR tends to reflect the slow but steady increase in the number of articles published, as evidenced by an increase in Dt. The growth of literature produced as a result of Indo-US partnership in the area of bioinformatics follows the Linear Growth Model. When the different growth models using curve fit values based on R2 have been applied, the Power Growth Curve is found to be the best match followed by the Exponential Growth Curve, Linear Growth Curve, and Logarithmic Growth Curve.

Author Biographies

  • Prof. Meera, University of Delhi

    Professor - Department of Library & Information Science, University of Delhi, 110007

  • Pooja, University of Delhi

    Research scholar - Department of Library & Information Science, University of Delhi, 110007

References

Baskaran, C. (2016). A Scientometric study on Bioinformatics literature during 1999-2013. International Journal of Library Science and Information Management, 2(4). https://www.researchgate.net/publication/324537363

Baskaran, S. (2021). Scientometric study of bioinformatics research based on web of science database during 2010-2019. International Journal of Research in Library Science, 7(1), 196–205. https://doi.org/10.26761/ijrls.7.1.2021.1389

Elangovan, N. (2020). Application of Growth Models to Research Literature of All India Institute of Medical Sciences. DESIDOC Journal of Library & Information Technology, 40(03), 153–159. https://doi.org/10.14429/djlit.40.03.14876

El-Shorbagy, M., & El-Refaey, A. M. (2022). COVID-19: Mathematical growth vs. precautionary measures in China, KSA, and the USA. Informatics in Medicine Unlocked, 28, 100834. https://doi.org/10.1016/j.imu.2021.100834

G, Neelamma and Anandhalli, Gavisiddappa. (2020). Modelling the growth of literature in the area of crystallography. Library Philosophy and Practice (e-journal). 3813. https://digitalcommons.unl.edu/libphilprac/3813

Hadagali, Gururaj & Anandhalli, Gavisiddappa. (2015). Modeling the Growth of Neurology Literature. Journal of Information Science Theory and Practice. 3. 45-63. 10.1633/JISTaP.2015.3.3.3.

Jozi, Z., & Nourmohammadi, H. (2022). Scientometrics Analysis of World Scientific Research of Pathology and Forensic Medicine. Iranian Journal of Pathology, 191–201. https://doi.org/10.30699/ijp.2022.541660.2756

Kumaravel, J P S. (2011). Bioinformatics Research – An Informetric View. IPCSIT. 16. 199-204. https://www.researchgate.net/publication/237022104

Mahapatra, M. (1985). On the Validity of the Theory of Exponential Growth of Scientific Literature. In Proceedings of the 15th IASLIC Conference, Bangalore, 61-70.

Nayak, S. N., & Bankapur, V. M. (2017). Modelling the growth of global Agricultural literature: A scienometric study based on CAB-Abstracts. International Journal of Library and Information Studies, 7(3). http://www.ijlis.org

R. Santha kumar & K. Kaliyaperumal, (2015). A scientometric analysis of mobile technology publications, Scientometrics, 105(2), 921-939. DOI: 10.1007/s11192-015-1710-7

S. L. Sangam, Devika Madalli & Uma B. Arali (2015) Scientometrics profile of global genetics literature as seen through PubMed. COLLNET Journal of Scientometrics and Information Management, 9(2), 175-192. DOI: 10.1080/09737766.2015.1069956

Sharma, Praveen & Gupta, Brij Mohan & Kumar, Suresh. (2002). Application Of Growth Models To Science And Technology Literature In Research Specialties. DESIDOC Bulletin of Information Technology. 22. 10.14429/dbit.22.2.3560.

Shilpa, B., & Padmamma, S. (2020). Scientometrics observations of authorship pattern and collaborative Research on Leukemia. International Journal of Information Dissemination and Technology, 10(1), 52. https://doi.org/10.5958/2249-5576.2020.00008.4

Singh, K. P., & Verma, S. (2021). Modeling the Growth of Food Science and Technology Literature in India. Library Philosophy and Practice, 1-12. https://www.proquest.com/scholarly-journals/modeling-growth-food-science-technology/docview/2492708613/se-2

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Published

2024-04-01

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