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  • × author_ss:"Bensman, S.J."
  • × theme_ss:"Informetrie"
  1. Bensman, S.J.: Probability distributions in library and information science : a historical and practitioner viewpoint (2000) 0.00
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    Source
    Journal of the American Society for Information Science. 51(2000) no.9, S.816-833
  2. Bensman, S.J.; Smolinsky, L.J.: Lotka's inverse square law of scientific productivity : its methods and statistics (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1786-1791
  3. Bensman, S.J.: Distributional differences of the impact factor in the sciences versus the social sciences : an analysis of the probabilistic structure of the 2005 journal citation reports (2008) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1366-1382
  4. Bensman, S.J.; Leydesdorff, L.: Definition and identification of journals as bibliographic and subject entities : librarianship versus ISI Journal Citation Reports methods and their effect on citation measures (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1097-1117
  5. Bensman, S.J.: Urquhart's and Garfield's laws : the British controversy over their validity (2001) 0.00
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    Abstract
    The British controversy over the validity of Urquhart's and Garfield's Laws during the 1970s constitutes an important episode in the formulation of the probability structure of human knowledge. This controversy took place within the historical context of the convergence of two scientific revolutions-the bibliometric and the biometric-that had been launched in Britain. The preceding decades had witnessed major breakthroughs in understanding the probability distributions underlying the use of human knowledge. Two of the most important of these breakthroughs were the laws posited by Donald J. Urquhart and Eugene Garfield, who played major roles in establishing the institutional bases of the bibliometric revolution. For his part, Urquhart began his realization of S. C. Bradford's concept of a national science library by analyzing the borrowing of journals on interlibrary loan from the Science Museum Library in 1956. He found that 10% of the journals accounted for 80% of the loans and formulated Urquhart's Law, by which the interlibrary use of a journal is a measure of its total use. This law underlay the operations of the National Lending Library for Science and Technology (NLLST), which Urquhart founded. The NLLST became the British Library Lending Division (BLLD) and ultimately the British Library Document Supply Centre (BLDSC). In contrast, Garfield did a study of 1969 journal citations as part of the process of creating the Science Citation Index (SCI), formulating his Law of Concentration, by which the bulk of the information needs in science can be satisfied by a relatively small, multidisciplinary core of journals. This law became the operational principle of the Institute for Scientif ic Information created by Garfield. A study at the BLLD under Urquhart's successor, Maurice B. Line, found low correlations of NLLST use with SCI citations, and publication of this study started a major controversy, during which both laws were called into question. The study was based on the faulty use of the Spearman rank correlation coefficient, and the controversy over it was instrumental in causing B. C. Brookes to investigate bibliometric laws as probabilistic phenomena and begin to link the bibliometric with the biometric revolution. This paper concludes with a resolution of the controversy by means of a statistical technique that incorporates Brookes' criticism of the Spearman rank-correlation method and demonstrates the mutual supportiveness of the two laws
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.9, S.714-724
  6. Bensman, S.J.; Smolinsky, L.J.; Pudovkin, A.I.: Mean citation rate per article in mathematics journals : differences from the scientific model (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1440-1463