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Renn, O.; Schnabl, J.: Forschungsmetriken: Ignorieren, boykottieren oder nutzen? : Forschungsmetriken in die Praxis gebracht (2017)
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- Content
- Vgl.: https://www.b-i-t-online.de/heft/2017-03-index.php.
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Khan, G.F.; Park, H.W.: Measuring the triple helix on the web : longitudinal trends in the university-industry-government relationship in Korea (2011)
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- Abstract
- This study examines longitudinal trends in the university-industry-government (UIG) relationship on the web in the Korean context by using triple helix (TH) indicators. The study considers various Internet resources, including websites/documents, blogs, online cafes, Knowledge-In (comparable to Yahoo! Answers), and online news sites, by employing webometric and co-word analysis techniques to ascertain longitudinal trends in the UIG relationship, which have received considerable attention in the last decade. The results indicate that the UIG relationship varied according to the government's policies and that there was some tension in the longitudinal UIG relationship. Further, websites/documents and blogs were the most reliable sources for examining the strength of and variations in the bilateral and trilateral UIG relationships on the web. In addition, web-based T(uig) values showed a stronger trilateral relationship and larger variations in the UIG relationship than Science Citation Index-based T(uig) values. The results suggest that various Internet resources (e.g., advanced search engines, websites/documents, blogs, and online cafes), together with TH indicators, can be used to explore the UIG relationship on the web.
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Braun, T.; Glanzel, W.; Grupp, H.: ¬The scientometric weight of 50 nations in 27 scientific areas, 1989-1993 : Pt.1: All fields combined, mathematics, engineering, chemistry and physics (1995)
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Bookstein, A.; Raita, T.: Discovering term occurence structure in text (2001)
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Liang, L.: R-Sequences : relative indicators for the rhythm of science (2005)
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- Abstract
- Like most activities in the world, scientific evolution has its own rhythm. How can this evolutionary rhythm be described and made visible? Do different fields have different rhythms, and how can they be measured? In order to answer these questions a relative indicator, called R-sequence, was designed. This indicator is time dependent, derived from publication and citation data, but independent of the absolute number of publications, as weIl as the absolute number of citations, and can therefore be used in a comparison of different scientific fields, nations, Institutes, or journals. Two caiculation methods of the R-sequence-the triangle method and the parallelogram method-are introduced. As a case study JASIS(T)'s R-sequence has been obtained.
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Brody, T.; Harnad, S.; Carr, L.: Earlier Web usage statistics as predictors of later citation impact (2006)
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Lafouge, T.; Prime-Claverie, C.: Production and use of information : Characterization of informetric distributions using effort function and density function. Exponential informetric process (2005)
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-
Brooks, T.: Citer motivations (2009)
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Tüür-Fröhlich, T.: Closed vs. Open Access : Szientometrische Untersuchung dreier sozialwissenschaftlicher Zeitschriften aus der Genderperspektive (2011)
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Möller, T.: Woher stammt das Wissen über die Halbwertzeiten des Wissens? (2017)
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Nicholls, P.T.: Empirical validation of Lotka's law (1986)
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- Source
- Information processing and management. 22(1986), S.417-419
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Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
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Fiala, J.: Information flood : fiction and reality (1987)
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- Source
- Thermochimica acta. 110(1987), S.11-22
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Brooks, T.A.: How good are the best papers of JASIS? (2000)
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- Content
- Top by numbers of citations: (1) Saracevic, T. et al.: A study of information seeking and retrieving I-III (1988); (2) Bates, M.: Information search tactics (1979); (3) Cooper, W.S.: On selecting a measure of retrieval effectiveness (1973); (4) Marcus, R.S.: A experimental comparison of the effectiveness of computers and humans as search intermediaries (1983); (4) Fidel, R.: Online searching styles (1984)
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Chen, C.; Cribbin, T.; Macredie, R.; Morar, S.: Visualizing and tracking the growth of competing paradigms : two case studies (2002)
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Niemi, T.; Hirvonen, L.; Järvelin, K.: Multidimensional data model and query language for informetrics (2003)
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Jin, B.; Li, L.; Rousseau, R.: Long-term influences of interventions in the normal development of science : China and the cultural revolution (2004)
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- Abstract
- Intellectual and technological talents and skills are the driving force for scientific and industrial development, especially in our times characterized by a knowledgebased economy. Major events in society and related political decisions, however, can have a long-term effect an a country's scientific weIl-being. Although the Cultural Revolution took place from 1966 to 1976, its aftermath can still be felt. This is shown by this study of the production and productivity of Chinese scientists as a function of their age. Based an the 1995-2000 data from the Chinese Science Citation database (CSCD), this article investigates the year-by-year age distribution of scientific and technological personnel publishing in China. It is shown that the "Talent Fault" originating during the Cultural Revolution still exists, and that a new gap resulting from recent brain drain might be developing. The purpose of this work is to provide necessary information about the current situation and especially the existing problems of the S&T workforce in China.
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Prime-Claverie, C.; Beigbeder, M.; Lafouge, T.: Transposition of the cocitation method with a view to classifying Web pages (2004)
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Sombatsompop, N.; Markpin, T.: Making an equality of ISI impact factors for different subject fields (2005)
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Hong, T.: ¬The influence of structural and message features an Web site credibility (2006)
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