Browse > Article
http://dx.doi.org/10.1633/JISTaP.2015.3.3.3

Modeling the Growth of Neurology Literature  

Hadagali, Gururaj S. (Department of Library and Information Science Karnataka University)
Anandhalli, Gavisiddappa (Department of Library and Information Science Karnataka State Women’s University)
Publication Information
Journal of Information Science Theory and Practice / v.3, no.3, 2015 , pp. 45-63 More about this Journal
Abstract
The word ‘growth’ represents an increase in actual size, implying a change of state. In science and technology, growth may imply an increase in number of institutions, scientists, or publications, etc. The present study demonstrates the growth of neurology literature for the period 1961-2010. A total of 291,702 records were extracted from the Science Direct Database for fifty years. The Relative Growth Rate (RGR) and Doubling Time (Dt.) of neurology literature have been calculated, supplementing with different growth patterns to check whether neurology literature fits exponential, linear, or logistic models. The results of the study indicate that the growth of literature in neurology does not follow the linear, or logistic growth model. However, it follows closely the exponential growth model. The study concludes that there has been a consistent trend towards increased growth of literature in the field of neurology.
Keywords
Exponential Model; Growth Models; Linear Model; Logistic Model; Modeling; Neurology; Relative Growth Rate; Scientometrics;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Sangam, S.L., Liming, L., & Ganjihal, G.A. (2010). Modeling the growth of Indian and Chinese Liquid Crystals literature as reflected in Science Citation Index (1997-2006). Scientometrics, 84, 49-52.   DOI
2 Poorter, H., & Garnier, E. (1996). Plant growth analysis: An evaluation of experimental design and computational methods. Journal of Experimental Botany, 47(302), 1343-1351.   DOI
3 Price, D.D.S. (1966). Little science, big science. New York: Columbia University Press.
4 Price, D.D.S. (1975). Science since Babylon. Enlarged Edition. New Haven: Yale University Press.
5 Ramakrishna, N.V. (2009). Modelling the growth of ferrous metallurgy literature: A study based on iron making and steel making. SRELS Journal of Information Management, 46(4), 413-421.
6 Ravichandra Rao, I.K. (1998). Growth, obsolescence, collaboration and circulation statistics. In Ravichandra Rao, I.K. (Ed.), Workshop on Informetrics and Scientometrics. Bangalore: DRTC.
7 Seetharam, G., & Ravichandra Rao, I.K. (1999). Growth of food science and technology literature: A comparison of CFTRI, India and the world. Scientometrics, 44(1), 59-79.   DOI
8 Szydowski, M., & Krawiec, A. (2009). Growth cycles of knowledge. Scientometrics, 78(1), 99-111.   DOI
9 Tsay, M.G. (2008). A bibliometric analysis of hydrogen energy literature, 1965-2005. Scientometrics, 75(3), 421-438.   DOI
10 Zhao, Q., & Guan, J. (2012). Modeling the dynamic relation between science and technology in nanotechnology. Scientometrics, 90, 561-579.   DOI
11 Gilbert, G.N. (1978). Measuring the growth of science: A review of indices. Scientometrics, 1(1), 9-34   DOI
12 Gupta, B.M., & Karisiddappa, C.R. (2000). Modeling the growth of literature in the area of theoretical population genetics. Scientometrics, 49(2), 321-355.   DOI
13 Hoffmann, W.A., & Poorter, H. (2002). Avoiding bias in calculations of relative growth rate. Annals of Botany, 80, 37-42.
14 Gupta, B.M., Sharma, P., & Karisiddappa, C.R. (1997). Growth of research literature in scientific specialities: A modeling perspective. Scientometrics, 40(3), 507-528.   DOI
15 Gupta, B.M., Sharma, P., & Kumar, S. (1999). Growth of world and Indian physics literature. Scientometrics, 44(1), 5-16.   DOI
16 Gupta, B.M., Kumar, S., Sangam, S.L., & Karisiddappa, C.R. (2002). Modeling the growth of world social science literature. Scientometrics, 53(1), 161-164.   DOI
17 Hunt, R. (1978). Plant growth analysis. London: Edward Arnold.
18 Hunt, R. (1982). Plant growth analysis: Second derivates and compounded second derivates of splined plant growth curves. Annals of Botany, 50, 317-328.   DOI
19 Karki, M.M.S., Garg, K.C., & Sharma, P. (2000). Activity and growth of organic chemistry research in India during 1971-1989. Scientometrics, 49(2), 279-288.   DOI
20 Meera, & Sangam, S.L. (2010). Indian chemical literature 1907-2005: Activity and growth. In S.L. Sangam et al. (Eds.), Webometrics, Informetrics and Scientometrics: Measuring scientific and technological progress of India (national seminar papers and proceedings) (pp. 47-66). Dharwad: Karnatak University.
21 Bouabid, H. (2011). Revisiting citation aging: A model for citation distribution and life cycle prediction. Scientometrics, 88, 199-211.   DOI
22 Bradford, S.C. (1934). Sources of information on specific subjects. Engineering, 137, 85-86.
23 Egghe, L., & Ravichandra Rao, I.K. (1992). Classification of growth models based on growth rate and its applications. Scientometrics, 25, 5-46.   DOI