Search (13 results, page 1 of 1)

  • × theme_ss:"Informetrie"
  • × year_i:[1970 TO 1980}
  1. Garfield, E.: Is citation analysis a legitime evaluation tool? (1979) 0.00
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    Type
    a
  2. Bookstein, A.: ¬The bibliometric distributions (1976) 0.00
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    Abstract
    One of the most surprising findings in the information sciences is the recurrence of a small number of frequency distributions. In this paper, these distributions are described, and a point of view is adopted that allows us to understand them a being different versions of a single distribution. The empirical distributions are shown to be special cases of a single theoretic distribution. It is found that when random fluctuations are introduced, the distributions are not strongly influenced
    Type
    a
  3. Mulkay, M.J.: Sociology of the scientific research community (1977) 0.00
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    Source
    Science, technology and society: a cross-disciplinary perspective. Ed: I. Spiegel-Rosing u. D. de Solla Price
    Type
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  4. Schwendtke, A.: Wissenschaftssystematik und Scientometrologie (1979) 0.00
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    Type
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  5. Mulkay, M.J.: ¬The model of branching (1976) 0.00
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    Type
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  6. Narin, F.; Moll, J.K.: Bibliometrics (1977) 0.00
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    Type
    a
  7. Aiyepekn, W.O.: ¬The Bradford distribution theory (1977) 0.00
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    Type
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  8. Brookes, B.C.: Theory of the Bradford law (1977) 0.00
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    Type
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  9. Solla Price, D. de: Theory of bibliometric and other cumulative advantage processes (1976) 0.00
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    Type
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  10. Murphy, L.J.: Lotka's law in the humanities? (1973) 0.00
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    Type
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  11. Nacke, O.: Informetrie : ein neuer Name für eine neue Disziplin (1979) 0.00
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    Type
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  12. Mulkay, M.J.; Gilbert, G.N.; Woolgar, S.: Problem areas and research networks in science (1975) 0.00
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    Type
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  13. Rao, I.K.: ¬The distribution of scientific productivity and social change (1978) 0.00
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    Abstract
    Results in the literature concerning the probability that an author publishes r articles in time t are reexamined, and it is found that a negative binomial distribution bits scientific productivity data (by the chi-squared goodness-of-fit-test) better than many other distribution such as geometric, logarithmic, zeta, cumulative advantage, etc. It is shown analytically that the nagative binomial distribution describes a pattern of scientific productivity under the 'success-breeds-success' condition in a wide variety of social circumstances
    Type
    a