'Ambiguity' and Scientometric Measurement: A Dissenting View.

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Bibliographic Details
Title: 'Ambiguity' and Scientometric Measurement: A Dissenting View.
Language: English
Authors: Burrell, Quentin L.
Source: Journal of the American Society for Information Science and Technology. Oct 2001 52(12):1075-1080.
Peer Reviewed: Y
Page Count: 6
Publication Date: 2001
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Bibliometrics, Mathematical Formulas, Probability, Robustness (Statistics)
Abstract: Argues that informetrics needs a rigorous mathematical basis and that informetric processes can be adequately describes within a standard probabilistic framework with stochastic modeling offering a more productive approach than other methods. Highlights include Lotka's Law; robustness and multiauthorship; and resilience and the random component. (Author/LRW)
Entry Date: 2002
Accession Number: EJ635482
Database: ERIC
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  Data: 'Ambiguity' and Scientometric Measurement: A Dissenting View.
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  Data: <searchLink fieldCode="AR" term="%22Burrell%2C+Quentin+L%2E%22">Burrell, Quentin L.</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+the+American+Society+for+Information+Science+and+Technology%22"><i>Journal of the American Society for Information Science and Technology</i></searchLink>. Oct 2001 52(12):1075-1080.
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  Data: Y
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  Data: 6
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  Data: 2001
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  Data: Journal Articles<br />Reports - Descriptive
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  Data: <searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+Formulas%22">Mathematical Formulas</searchLink><br /><searchLink fieldCode="DE" term="%22Probability%22">Probability</searchLink><br /><searchLink fieldCode="DE" term="%22Robustness+%28Statistics%29%22">Robustness (Statistics)</searchLink>
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  Data: Argues that informetrics needs a rigorous mathematical basis and that informetric processes can be adequately describes within a standard probabilistic framework with stochastic modeling offering a more productive approach than other methods. Highlights include Lotka's Law; robustness and multiauthorship; and resilience and the random component. (Author/LRW)
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      – Text: English
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        PageCount: 6
        StartPage: 1075
    Subjects:
      – SubjectFull: Bibliometrics
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      – SubjectFull: Mathematical Formulas
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      – SubjectFull: Probability
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      – SubjectFull: Robustness (Statistics)
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