Abstract
The distribution of articles involving artificial neural networks (ANN) in the fields of medicine and biology and appearing in the ISI (Institute for Scientific Information) databases during the period 2000-2001 was analysed. The following parameters were considered: the number of articles, the total impact factor, the ISI journal category, the source country population, and the gross domestic product. Among the 803 articles and the 49 countries considered, the 5 most prolific (in term of the number of publications) were the USA, The United Kingdom, Germany, Italy, and Canada; other active countries included Sweden, Netherlands, Spain, France, Japan, and China. Comparison between the USA and the European Union, and the distribution of ANN publications among the subdisciplines of the life sciences and clinical medicine are also presented.
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References
Noyons, E. M. C., Van Raan, A. F. J., Actor analysis in neural network research: the position of Germany. Research Evaluation, 6 (1996) 133-142.
Weinstein, J. N., Myers, T., Casciari, J. J., Buolamwini, J., Raghavan, K., Neural networks in the biomedical sciences: A survey of 386 publications since the beginning of 1991. World Congress on Neural Networks, San Diego, (June 1994) pp. 121-126.
Lisboa, P. J. G., A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Networks, 15 (2002) 11-39.
Schneider, G., Wrede, P., Artificial neural networks for computer-based molecular design. Progress in Biophysics & Molecular Biology, 70 (1998) 175-222.
Dybowski, R., Gant, V. (Eds), Clinical Applications of Artificial Neural Networks. Cambridge university press, United Kingdom, 2001.
Lisboa, P. J. G., Ifeachor, E. C., Szczepaniak, P. S. (Eds), Artificial Neural Networks in Biomedicine. Springer-Verlag, London, 2000.
Malmgren, H., Borga, M., Niklasson, L. (Eds), Artificial Neural Networks in Medicine and Biology. Springer Verlag, London, 2001.
GlÄnzel, W., Schubert, A., Braun, T., A relational charting approach to the world of basic research in twelve science fields at the end of the second millennium. Scientometrics, 55(3) (2002) 335-348.
Mela, G. S., Cimmino, M. A., Ugolini, D., Impact assessment of oncology research in the European Union. European Journal of Cancer, 35(8) (1999) 1182-1186.
Ugolini, D., Cimmino, M. A., Casilli, C., Mela, G. S., How the European Union writes about ophthalmology. Scientometrics, 52(1) (2001) 45-58.
InÖnÜ, E., The influence of cultural factors on scientific production. Scientometrics, 56(1) (2003) 137-146.
Van Leeuven, T. N., Moed, H. F., Tijssen, R. J. W., Visser, M. S., Van Raan, A. F. J., Language biases in the coverage of the Science Citation Index and its consequences for international comparisons of national research performance. Scientometrics, 51(1) (2001) 335-346.
GÓmez, I., Bordons, M., FernÁndez, M. T., Mendez, A., Coping with the problem of subject classification. Scientometrics, 35(2) (1996) 223-235.
MacCain, K. W., Whitney, P. J., Contrasting assessments of interdisciplinarity in emerging specialties. Knowledge: Creation, Diffusion, Utilization, 15(3) (1994) 285-306.
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Claude, R., Charles-Daniel, A., Jean, A. et al. Bibliometric overview of the utilization of artificial neural networks in medicine and biology. Scientometrics 59, 117–130 (2004). https://doi.org/10.1023/B:SCIE.0000013302.59845.34
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DOI: https://doi.org/10.1023/B:SCIE.0000013302.59845.34