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  • × theme_ss:"Informetrie"
  1. Ridenour, L.: Boundary objects : measuring gaps and overlap between research areas (2016) 0.08 
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    Abstract
    The aim of this paper is to develop methodology to determine conceptual overlap between research areas. It investigates patterns of terminology usage in scientific abstracts as boundary objects between research specialties. Research specialties were determined by high-level classifications assigned by Thomson Reuters in their Essential Science Indicators file, which provided a strictly hierarchical classification of journals into 22 categories. Results from the query "network theory" were downloaded from the Web of Science. From this file, two top-level groups, economics and social sciences, were selected and topically analyzed to provide a baseline of similarity on which to run an informetric analysis. The Places & Spaces Map of Science (Klavans and Boyack 2007) was used to determine the proximity of disciplines to one another in order to select the two disciplines use in the analysis. Groups analyzed share common theories and goals; however, groups used different language to describe their research. It was found that 61% of term words were shared between the two groups.
  2. Bar-Ilan, J.: Informetrics (2009) 0.04 
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    Abstract
    Informetrics is a subfield of information science and it encompasses bibliometrics, scientometrics, cybermetrics, and webometrics. This encyclopedia entry provides an overview of informetrics and its subfields. In general, informetrics deals with quantitative aspects of information: its production, dissemination, evaluation, and use. Bibliometrics and scientometrics study scientific literature: papers, journals, patents, and citations; while in webometric studies the sources studied are Web pages and Web sites, and citations are replaced by hypertext links. The entry introduces major topics in informetrics: citation analysis and citation related studies, the journal impact factor, the recently defined h-index, citation databases, co-citation analysis, open access publications and its implications, informetric laws, techniques for mapping and visualization of informetric phenomena, the emerging subfields of webometrics, cybermetrics and link analysis, and research evaluation.
    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  3. White, H.D.: Bibliometric overview of information science (2009) 0.04 
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    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  4. Rousseau, R.: Informetric laws (2009) 0.04 
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    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  5. Hertzel, D.H.: Bibliometric research: history (2009) 0.04 
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    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  6. Koehler, W.: Web page change and persistence : a four-year longitudinal study (2002) 0.04 
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    Abstract
    Changes in the topography of the Web can be expressed in at least four ways: (1) more sites on more servers in more places, (2) more pages and objects added to existing sites and pages, (3) changes in traffic, and (4) modifications to existing text, graphic, and other Web objects. This article does not address the first three factors (more sites, more pages, more traffic) in the growth of the Web. It focuses instead on changes to an existing set of Web documents. The article documents changes to an aging set of Web pages, first identified and "collected" in December 1996 and followed weekly thereafter. Results are reported through February 2001. The article addresses two related phenomena: (1) the life cycle of Web objects, and (2) changes to Web objects. These data reaffirm that the half-life of a Web page is approximately 2 years. There is variation among Web pages by top-level domain and by page type (navigation, content). Web page content appears to stabilize over time; aging pages change less often than once they did
  7. Brooks, T.: Citer motivations (2009) 0.03 
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    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  8. Bhavnani, S.K.; Wilson, C.S.: Information scattering (2009) 0.03 
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    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  9. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.03 
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    Source
    Information processing and management. 22(1986), S.417-419
  10. Nicolaisen, J.: Citation analysis (2007) 0.03 
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    Date
    13. 7.2008 19:53:22
  11. Fiala, J.: Information flood : fiction and reality (1987) 0.03 
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    Source
    Thermochimica acta. 110(1987), S.11-22
  12. Haustein, S.; Sugimoto, C.; Larivière, V.: Social media in scholarly communication : Guest editorial (2015) 0.03 
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    Abstract
    There will soon be a critical mass of web-based digital objects and usage statistics on which to model scholars' communication behaviors - publishing, posting, blogging, scanning, reading, downloading, glossing, linking, citing, recommending, acknowledging - and with which to track their scholarly influence and impact, broadly conceived and broadly felt (Cronin, 2005, p. 196). A decade after Cronin's prediction and five years after the coining of altmetrics, the time seems ripe to reflect upon the role of social media in scholarly communication. This Special Issue does so by providing an overview of current research on the indicators and metrics grouped under the umbrella term of altmetrics, on their relationships with traditional indicators of scientific activity, and on the uses that are made of the various social media platforms - on which these indicators are based - by scientists of various disciplines.
    Date
    20. 1.2015 18:30:22
  13. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.03 
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    Date
    22. 5.1999 19:22:35
  14. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.03 
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    Date
    22. 7.2006 15:22:28
  15. Diodato, V.: Dictionary of bibliometrics (1994) 0.03 
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
  16. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.03 
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    Date
    22. 7.2006 18:55:29
  17. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.03 
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    Date
    22. 7.2006 18:55:55
  18. Thelwall, M.: Webometrics (2009) 0.03 
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    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  19. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.02 
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    Date
    20. 1.2007 17:02:22
  20. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.02 
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    Date
    18. 3.2014 19:13:22

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