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An analysis of the growth of African trypanosomiasis research between 1900 and 1985

Published online by Cambridge University Press:  19 September 2011

G. A. Thompson
Affiliation:
Nigerian Institute for Trypanosomiasis Research, P.M.B 2077, Kaduna, Nigeria
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Abstract

The purpose of this study is to elucidate the production dynamics, growth characteristics and trends of African trypanosomiasis research (ATREP) literature between 1900 and 1985 through graphical methods.

The data analysed comprised 5139 articles from Tropical Diseases Bulletin and Tsetse and Trypanosomiasis Information Quarterly. Counting technique was employed in sorting the articles according to yearly production and respective subject disciplines. The bibliometric ranks of the disciplines were determined based on (1) the total output and (2) the average decennial relative changes (Rc) in publications between 1936 and 1985 using 1936/45 as the base decade.

The results show that the growth is neither linear nor logistic but exponential with an average 39.5-year doubling time. A marked feature is the occurrence of high “epidemic” peaks between 1910–1914 and 1979–1985, a state in which publications were produced at relatively high level probably due to new discoveries or research orientation; and hence capable of quickly infecting a large number of scientists enhancing productivity. There was also a low level of activity from 1914 which lasted for about 22 years.

The foundation disciplines for African Trypanosomiasis Research Programme (ATREP) are entomology and parasitology. Entomology had the highest bibliometric rank followed by parasitology. However, the Refactors indicate that greater attention, as depicted by publication outburst, was given to physiology, immunology, biochemistry, and epidemiology between 1976–1985 than had been before.

In spite of its consistently higher output, entomology exhibited the greatest fluctuating growth trend than all the other components. A possible explanation for this behaviour was ventured.

Résumé

Le but de cette étude est d'elucider les charactéristiques particulières à la croissance de la litérature Africaine sur la trypanosomiase, un champ type de recherche biomédical et couvrant plusieurs disciplines.

Les données analysées comprènnent 5139 titres d'abstraits dans le Bulletin de Maladies Tropicales et la Revue Trimestrielle d'Information sur la Tsétsé et la Trypanosomiase. La méthode de comptage rut utilisée tout au cours de l'étude alors que le mode de croissance et les taux d'augmentation furent analysées par des techniques graphiques.

La Trypanosomiase Africaine constitue encore un champ de recherche très actif. Bien qu'il fut charactérise plus tôt par une croissance fluctuante et ondulante avec le nombre moyen d'articles augmentant et declinant, l'état actuel est celui d'un degré de croissance infectieuse.

En moyenne, les taux de croissance quinquenales et décenales sont de 103% et 73% respectivement alors que le taux cummulatif de croissance est de 48%. Done, le mode de croissance n'est ni linéaire ni logique mais exponentiel avec un taux doublant tous les 53 ans. Les résultats montrent aussi que les disciplines de base pour le Programme de Recherche Africaine sur la Trypanosomiase sont l'entomologie et la parasitologie. Elles occupent en bibliométrie, des rangs d'ordre les plus elevés, étant les plus productlves. Leur croissance est aussi exponentielle avec des taux doublant tous les 70 et 60 ans respectivement. Une observation majeure de cette étude est que la croissance exponentielle générate des données sur la trypanosomiase en Afrique est obtenue en surimposant les models exponentiels de chacun des composants l'un sur l'autre. Ceci se différencie du model de combinaison linéaire que l'rencontre dans d'autre litératures.

Type
Research Articles
Copyright
Copyright © ICIPE 1992

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References

REFERENCES

Anaehobi, E. S. (1984) Analysis of food and industrial microbiology literature from Africa 1970–1977. Nigerbiblios 1, 1114.Google Scholar
Anderson, R. C., Marin, F. and McAllister, P. (1978) Publication rating versus peer ratings of universities. J. Amer. Soc. Info. Sci. 29, 91103.CrossRefGoogle Scholar
Cited in Aulakh (1987) Bibliometric study of Indian photochemical literatures: Growth pattern and scatter. J. Lib. Inf. 8.Google Scholar
Bancroft, G. J., Sutton, C. J., Morris, G. and Askonas, B. A. (1983) Production of interferons during experimental African trypanosomiasis T. b. brucei. Clin. Exp. Immunol. 52, 135143.Google Scholar
Bottle, R. T., Rennie, J. S., Russ, S. and Sardar, (1983) Changes in the communication of chemical information I. Someeffects of growth. J. Inf. Sci. 8.Google Scholar
Braun, T., Bujdoso, S., Lyon, W. S. (1980) An analytical look at chemical publications. Anal. Chem. 52, 617A–626A.CrossRefGoogle Scholar
Brookes, B. C. (1968) The derivation and application of the Bradford-Zipf distribution. J. Doc. 24, 247265.CrossRefGoogle Scholar
Broad, W. (1981) The publishing game: getting more for less. Science 211, 11371139.CrossRefGoogle ScholarPubMed
Brookes, B. C. (1989) Biblio-, Sciento-, Informetrics? What are we talking about. In Proc. 2nd Int. Conf. Bibliometrics, Scientometrics and Informetrics.Google Scholar
Bujdoso, E. and Braun, T. (1983) Publication indicators of relative research efforts in physics subfields. J. Am. Soc. Inf. Sci. 34, 150155.CrossRefGoogle Scholar
Cole, S. (1989) Citations and the evaluation of individual scientists. TIBS 14, 9, 11 and 13.Google Scholar
Cole, S. and Cole, J. R. (1987) Testing the Ortega hypothesis: Milestone or millstone? Scientometrics 12, 345353.CrossRefGoogle Scholar
Denlinger, D. L. (1975) Insect hormones as tsetse abortificients. Nature 253.Google Scholar
Duggan, A. J. (1962) A survey of sleeping sickness in northern Nigeria from the earliest times to the present day. Trans. R. Soc. Med. Hyg. 56, 439480.CrossRefGoogle Scholar
Egghe, L. (1988) Methodological aspects of bibliometrics. Lib. Sci. with a Slant to Doc. and Inf. Studies 25, 179191.Google Scholar
Frame, J. D. (1980) Measuring scientific activity in lesser developed countries. Scientometrics 2, 133145.CrossRefGoogle Scholar
Frame, J. D. and Braun, J. J. (1978) Cross-national information flows in basic research: Examples taken from physics. J. Am. Soc. Inf. Sci. 29, 247252.CrossRefGoogle Scholar
Frame, J. D. and Carpenter, M. P. (1977) The distribution of world science. Soc. Stud. Sci. 7, 501516.CrossRefGoogle Scholar
Groos, O. V. (1967) Bradford's law and the Keenan-Atherton data. Am. Doc. 19, 46.CrossRefGoogle Scholar
King, J. (1987) A review of bibliometric and other science indicators and their role in research evaluation. J. Inf. Sci. 13, 261276.CrossRefGoogle Scholar
Koenig, M. E. D. (1983) Bibliometric indicators versus expert opinion in assessing research performance. J. Am. Soc. Inf. Sci. 34, 136145.CrossRefGoogle Scholar
Lawani, S. M. (1986) Some bibliometric correlates of quality in scientific research. Scientometrics 9, 1325.CrossRefGoogle Scholar
Lawani, S. M. (1982) On the relationship between quantity and quality of a country's research productivity. J. Inf. Sci. 5, 143.CrossRefGoogle Scholar
Lawani, S. M. and Bayer, A. E. (1983) Validity of citation criteria for assessing the influence of scientific publications: new evidence with peer assessment. J. Am. Soc. Inf. Sci. 34, 59.CrossRefGoogle Scholar
MacRoberts, M. H. and MacRoberts, B. R. (1987) Testing the Ortega hypothesis: Facts and Artifacts. Scientometrics 12, 293.CrossRefGoogle Scholar
MacRoberts, M. H. and MacRoberts, B. R. (1989) Citation analysis and the science policy arena. TIBS 14, 8, 10 and 12.Google Scholar
Magaji, Y. (1986) Recent advances in the chemotherapy of African trypanosomiasis. A rational approach to drug design. Conference Paper: West African Assoc. Pharmacy, Zaria, Nigeria.Google Scholar
Magyar, A. (1974) Bibliometric analysis of new research subfield. J. Doc. 30, 3240.CrossRefGoogle Scholar
Moed, H. W., Burger, W. J. H., Frankfort, J. G. and VanRaan, A. F. J. (1985) The use of Bibliometric data for the measurement of university research performance. Res. Pol. 14, 131149.CrossRefGoogle Scholar
Morris, K. R. S. (1960) New frontiers to health in Africa. Science 132, 652.CrossRefGoogle ScholarPubMed
Oliver, M. R. (1971) The effect of growth on the obsolescence of semi-conductor physics literature. J. Doc. 27, 1117.CrossRefGoogle Scholar
Price, D. J. de Solla (1967) Nations can publish or perish. Sci. Tech. 70, 8490.Google Scholar
Price, D.J. de Solla (1963) Litile Science, Big Science. N. Y. Columbia University Press.CrossRefGoogle Scholar
Pritchard, A. (1967) Statistical bibliography or bibliometrics? J. Doc. 36, 214267.Google Scholar
Thompson, G. A. (1990) Periodical literature of African trypanosomiasis: the application of Bradford's law. Niger. Lib. Inf. Sci. Rev. 8, (in press).Google Scholar
Thompson, G. A. (1988) African trypanosomiasis research, 1900–1985: Growth and bibliometric characteristics M.L.S. Thesis. Ahmadu Bello University, Zaria, Nigeria.Google Scholar
Valentin, G. (1841) Citedin: Seedbeck T., Hemphill A. and Lawson D. (1990) The cytoskeleton of trypanosomes. Parasitology Today 6, 49.Google Scholar
Vinkler, P. (1986) Management system for a scientific research institute based on the assessment of scientific publications. Res. Pol. 15, 7787.CrossRefGoogle Scholar
WHO (1990) Tropical Diseases 1990. Booklet No. TDR-CTD/HH90.1.Google Scholar
Wilcocks, C. (1963) Recent advances in African trypanosomiasis. WHO Chronicle 17, 443450.Google Scholar