Search (430 results, page 1 of 22)

  • × theme_ss:"Informetrie"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Rostaing, H.; Barts, N.; Léveillé, V.: Bibliometrics: representation instrument of the multidisciplinary positioning of a scientific area : Implementation for an Advisory Scientific Committee (2007) 0.02
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    Date
    30.12.2007 11:22:39
    Language
    e
    Source
    ¬La interdisciplinariedad y la transdisciplinariedad en la organización del conocimiento científico : actas del VIII Congreso ISKO-España, León, 18, 19 y 20 de Abril de 2007 : Interdisciplinarity and transdisciplinarity in the organization of scientific knowledge. Ed.: B. Rodriguez Bravo u. M.L Alvite Diez
  2. Cronin, B.; Shaw, D.; LaBarre, K.: Visible, Less Visible, and Invisible Work : Patterns of Collaboration in 20th Century Chemistry (2004) 0.02
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    Date
    29. 8.2004 9:42:14
    Language
    e
  3. Kretschmer, H.; Kretschmer, T.: Well-ordered collaboration structures of co-author pairs in journals (2006) 0.02
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    Language
    e
    Source
    Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf
  4. Stock, W.G.; Weber, S.: Facets of informetrics : Preface (2006) 0.02
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    Abstract
    According to Jean M. Tague-Sutcliffe "informetrics" is "the study of the quantitative aspects of information in any form, not just records or bibliographies, and in any social group, not just scientists" (Tague-Sutcliffe, 1992, 1). Leo Egghe also defines "informetrics" in a very broad sense. "(W)e will use the term' informetrics' as the broad term comprising all-metrics studies related to information science, including bibliometrics (bibliographies, libraries,...), scientometrics (science policy, citation analysis, research evaluation,...), webometrics (metrics of the web, the Internet or other social networks such as citation or collaboration networks), ..." (Egghe, 2005b,1311). According to Concepcion S. Wilson "informetrics" is "the quantitative study of collections of moderatesized units of potentially informative text, directed to the scientific understanding of information processes at the social level" (Wilson, 1999, 211). We should add to Wilson's units of text also digital collections of images, videos, spoken documents and music. Dietmar Wolfram divides "informetrics" into two aspects, "system-based characteristics that arise from the documentary content of IR systems and how they are indexed, and usage-based characteristics that arise how users interact with system content and the system interfaces that provide access to the content" (Wolfram, 2003, 6). We would like to follow Tague-Sutcliffe, Egghe, Wilson and Wolfram (and others, for example Björneborn & Ingwersen, 2004) and call this broad research of empirical information science "informetrics". Informetrics includes therefore all quantitative studies in information science. If a scientist performs scientific investigations empirically, e.g. on information users' behavior, on scientific impact of academic journals, on the development of the patent application activity of a company, on links of Web pages, on the temporal distribution of blog postings discussing a given topic, on availability, recall and precision of retrieval systems, on usability of Web sites, and so on, he or she contributes to informetrics. We see three subject areas in information science in which such quantitative research takes place, - information users and information usage, - evaluation of information systems, - information itself, Following Wolfram's article, we divide his system-based characteristics into the "information itself "-category and the "information system"-category. Figure 1 is a simplistic graph of subjects and research areas of informetrics as an empirical information science.
    Language
    e
  5. Naumann, U.: Irrläufer einer missverstandenen Szientometrie (2006) 0.02
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    Source
    Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf
  6. Järvelin, K.; Persson, O.: ¬The DCI-index : discounted cumulated impact-based research evaluation (2008) 0.02
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    Abstract
    The article by K. Järvelin & O. Persson published in JASIST 59(9), The DCI-Index: Discounted Cumulated Impact-Based Research Evaluation, (pp. 1433-1440) contains an unfortunate error in one of its formulas, Equation 3. The present paper gives the correction and an example of impact analysis based on the corrected formula.
    Language
    e
  7. Menczer, F.: Lexical and semantic clustering by Web links (2004) 0.02
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    Date
    9. 1.2005 19:20:29
    Language
    e
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  8. Raan, A.F.J. van: Scaling rules in the science system : influence of field-specific citation characteristics on the impact of research groups (2008) 0.02
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    Date
    22. 3.2009 19:03:12
    Footnote
    Vgl. auch: Costas, R., M. Bordons u. T.N. van Leeuwen u.a.: Scaling rules in the science system: Influence of field-specific citation characteristics on the impact of individual researchers. In: Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.740-753.
    Language
    e
  9. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.02
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    Abstract
    Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open-access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject-specific navigation (45%) or for self-publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open-access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.
    Language
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  10. Shibata, N.; Kajikawa, Y.; Takeda, Y.; Matsushima, K.: Comparative study on methods of detecting research fronts using different types of citation (2009) 0.02
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    Date
    22. 3.2009 17:52:50
    Language
    e
  11. Heinz, M.: Bemerkungen zur Entwicklung der Internationalität der Forschung : Bibliometrische Untersuchungen am SCI (2006) 0.02
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    Source
    Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf
  12. Burrell, Q.L.: Predicting future citation behavior (2003) 0.02
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    Date
    29. 3.2003 19:22:48
    Language
    e
  13. Raan, A.F.J. van; Noyons, E.C.M.: Discovery of patterns of scientific and technological development and knowledge transfer (2002) 0.02
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    Language
    e
    Source
    Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
  14. Newby, G.B.; Greenberg, J.; Jones, P.: Open source software development and Lotka's law : bibliometric patterns in programming (2003) 0.01
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    Abstract
    Newby, Greenberg, and Jones analyze programming productivity of open source software by counting registered developers contributions found in the Linux Software Map and in Scourceforge. Using seven years of data from a subset of the Linux directory tree LSM data provided 4503 files with 3341 unique author names. The distribution follows Lotka's Law with an exponent of 2.82 as verified by the Kolmolgorov-Smirnov one sample goodness of fit test. Scourceforge data is broken into developers and administrators, but when both were used as authors the Lotka distribution exponent of 2.55 produces the lowest error. This would not be significant by the K-S test but the 3.54% maximum error would indicate a fit and calls into question the appropriateness of K-S for large populations of authors.
    Language
    e
  15. Wagner-Döbler, R.: Kognitive Mobilität und Zipfs "Principle of Least Effort" (2004) 0.01
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    Abstract
    Unter kognitiver Mobilität verstehe ich im folgenden nicht die Mobilität von Information, sondern die Bewegung des Denkens, und zwar hier des wissenschaftlichen Denkens. Wissenschaftliches Denken vollzieht sich disziplinär sowie interdisziplinär, im informationellen Austausch von Disziplinen und Forschungsgebieten. Dieser Austausch unterliegt, wie die Wissenschaftsgeschichte lehrt, einer Entwicklungsdynamik, die als Abfolge von Wanderungen oder Übergängen zwischen Forschungsgebieten in folgendem Sinn verständen werden kann. Beschäftigt sich ein Forscher A zum Zeitpunkt t1 mit Forschungsgebiet X und zum Zeitpunkt t2 als nächstes mit Forschungsgebiet Y, so liegt ein Übergang von X nach Y vor. Gibt es für diese Art von Übergängen charakteristische Eigenschaften oder Regularitäten.> Ein wichtiges Merkmal solcher Übergänge ist der Grad der Verwandtschaft, der kognitiven Affinität zwischen Ausgangs- und Zielgebiet der Migration. Am Beispiel der rund 150.000 Migrationen zwischen den mathematischen Subdisziplinen, wie sie sich in den Zeitschriftenartikel-Nachweisen der Mathematical Reviews von 1959 bis 1975 widerspiegeln, wurde das Verhältnis von kognitiver Mobilität und Affinität empirisch systematisch untersucht. Es bestätigte sich George K. Zipfs "Principle of Least Effort". Zählreiche Mechanismen und Faustregeln der Wissensorganisation dürften der Wirksamkeit dieses Prinzips zugrundeliegen.
    Source
    Wissensorganisation in kooperativen Lern- und Arbeitsumgebungen: Proceedings der 8. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Regensburg, 9.-11. Oktober 2002. Hrsg.: G. Budin u. H.P. Ohly
  16. Parthey, H.: Strukturwandel der bibliometrischen Profile wissenschaftlicher Institutionen im 20. Jahrhundert (2006) 0.01
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    Source
    Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf
  17. Haycock, L.A.: Citation analysis of education dissertations for collection development (2004) 0.01
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    Date
    10. 9.2000 17:38:22
    17.12.2006 19:44:29
    Language
    e
  18. Cronin, B.; Shaw, D.; LaBarre, K.: ¬A cast of thousands : Coauthorship and subauthorship collaboration in the 20th century as manifested in the scholarly journal literature of psychology and philosophy (2003) 0.01
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  19. Yoshikane, F.; Kageura, K.; Tsuji, K.: ¬A method for the comparative analysis of concentration of author productivity, giving consideration to the effect of sample size dependency of statistical measures (2003) 0.01
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  20. Järvelin, K.; Persson, O.: ¬The DCI index : discounted cumulated impact-based research evaluation (2008) 0.01
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    Content
    Erratum in: Järvelin, K., O. Persson: The DCI-index: discounted cumulated impact-based research evaluation. Erratum re. In: Journal of the American Society for Information Science and Technology. 59(2008) no.14, S.2350-2352.
    Language
    e

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