Search (99 results, page 5 of 5)

  • × theme_ss:"Informetrie"
  • × year_i:[2000 TO 2010}
  1. Al, U.; Sahiner, M.; Tonta, Y.: Arts and humanities literature : bibliometric characteristics of contributions by Turkish authors (2006) 0.00 
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  2. Kousha, K.; Thelwall, M.: Google Scholar citations and Google Web/URL citations : a multi-discipline exploratory analysis (2007) 0.00 
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  3. Bornmann, L.; Daniel, H.-D.: Multiple publication on a single research study: does it pay? : The influence of number of research articles on total citation counts in biomedicine (2007) 0.00 
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    Abstract
    Scientists may seek to report a single definable body of research in more than one publication, that is, in repeated reports of the same work or in fractional reports, in order to disseminate their research as widely as possible in the scientific community. Up to now, however, it has not been examined whether this strategy of "multiple publication" in fact leads to greater reception of the research. In the present study, we investigate the influence of number of articles reporting the results of a single study on reception in the scientific community (total citation counts of an article on a single study). Our data set consists of 96 applicants for a research fellowship from the Boehringer Ingelheim Fonds (BIF), an international foundation for the promotion of basic research in biomedicine. The applicants reported to us all articles that they had published within the framework of their doctoral research projects. On this single project, the applicants had published from 1 to 16 articles (M = 4; Mdn = 3). The results of a regression model with an interaction term show that the practice of multiple publication of research study results does in fact lead to greater reception of the research (higher total citation counts) in the scientific community. However, reception is dependent upon length of article: the longer the article, the more total citation counts increase with the number of articles. Thus, it pays for scientists to practice multiple publication of study results in the form of sizable reports.
  4. Thelwall, M.; Li, X.; Barjak, F.; Robinson, S.: Assessing the international web connectivity of research groups (2008) 0.00 
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  5. Thelwall, M.; Kousha, K.: Online presentations as a source of scientific impact? : an analysis of PowerPoint files citing academic journals (2008) 0.00 
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  6. Schreiber, M.: ¬An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index (2008) 0.00 
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  7. Thelwall, M.: Quantitative comparisons of search engine results (2008) 0.00 
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  8. Norris, M.; Oppenheim, C.; Rowland, F.: ¬The citation advantage of open-access articles (2008) 0.00 
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  9. Levitt, J.M.; Thelwall, M.: Is multidisciplinary research more highly cited? : a macrolevel study (2008) 0.00 
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  10. Couto, T.; Cristo, M.; Gonçalves, M.A.; Calado, P.; Ziviani, N.; Moura, E.; Ribeiro-Neto, B.: ¬A comparative study of citations and links in document classification (2006) 0.00 
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  11. Chen, C.-M.: Classification of scientific networks using aggregated journal-journal citation relations in the Journal Citation Reports (2008) 0.00 
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  12. Fernandez-Alles, M.; Ramos-Rodríguez, A.: Intellectual structure of human resources management research : a bibliometric analysis of the journal "Human Resource Management, 1985-2005" (2009) 0.00 
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  13. White, H.D.; Boell, S.K.; Yu, H.; Davis, M.; Wilson, C.S.; Cole, F.T.H.: Libcitations : a measure for comparative assessment of book publications in the humanities and social sciences (2009) 0.00 
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  14. Kousha, K.; Thelwall, M.: Google book search : citation analysis for social science and the humanities (2009) 0.00 
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  15. Chen, C.: Mapping scientific frontiers : the quest for knowledge visualization (2003) 0.00 
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    Type
    m
  16. Stock, W.G.; Weber, S.: Facets of informetrics : Preface (2006) 0.00 
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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.
  17. Bonitz, M.: Ranking of nations and heightened competition in Matthew core journals : two faces of the Matthew effect for countries (2002) 0.00 
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  18. Moed, H.F.; Luwel, M.; Nederhof, A.J.: Towards research performance in the humanities (2002) 0.00 
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  19. Barjak, F.; Li, X.; Thelwall, M.: Which factors explain the Web impact of scientists' personal homepages? (2007) 0.00 
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