Search (307 results, page 3 of 16)

  • × theme_ss:"Informetrie"
  1. Bensman, S.J.: Garfield and the impact factors (2007) 0.02
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    Theme
    Citation indexing
  2. Tsay, M.-Y.: ¬A bibliometric study of indexing and abstracting, 1876-1976 (1989) 0.02
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    Abstract
    In a bibliometric study of references to indexing and abstracting from 1876 to 1976 a total of 2.381 references in Wellisch's Indexing and abstracting: an international bibliography were analysed by a PL/I program. Most of the articles (67%) appeared as journal papers. The Bradford-Zipf law was applied to investigate the journal literature. Thirteen core journals were identified, six of which emphasize the subject of indexing and abstracting. Lotka's law was used to measure the productivity of authors. The vast majority, 1.533 out of 1.966 authors, contributed only one article. The leading authors and their active life in this subject were also studied. English is the predominant language of articles on indexing and abstracting
  3. Abdelkareem, M.A.A.: In terms of publication index, what indicator is the best for researchers indexing, Google Scholar, Scopus, Clarivate or others? (2018) 0.02
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    Abstract
    I believe that Google Scholar is the most popular academic indexing way for researchers and citations. However, some other indexing institutions may be more professional than Google Scholar but not as popular as Google Scholar. Other indexing websites like Scopus and Clarivate are providing more statistical figures for scholars, institutions or even journals. On account of publication citations, always Google Scholar shows higher citations for a paper than other indexing websites since Google Scholar consider most of the publication platforms so he can easily count the citations. While other databases just consider the citations come from those journals that are already indexed in their database
  4. Stuart, D.: Web metrics for library and information professionals (2014) 0.02
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    Content
    1. Introduction. MetricsIndicators -- Web metrics and Ranganathan's laws of library science -- Web metrics for the library and information professional -- The aim of this book -- The structure of the rest of this book -- 2. Bibliometrics, webometrics and web metrics. Web metrics -- Information science metrics -- Web analytics -- Relational and evaluative metrics -- Evaluative web metrics -- Relational web metrics -- Validating the results -- 3. Data collection tools. The anatomy of a URL, web links and the structure of the web -- Search engines 1.0 -- Web crawlers -- Search engines 2.0 -- Post search engine 2.0: fragmentation -- 4. Evaluating impact on the web. Websites -- Blogs -- Wikis -- Internal metrics -- External metrics -- A systematic approach to content analysis -- 5. Evaluating social media impact. Aspects of social network sites -- Typology of social network sites -- Research and tools for specific sites and services -- Other social network sites -- URL shorteners: web analytic links on any site -- General social media impact -- Sentiment analysis -- 6. Investigating relationships between actors. Social network analysis methods -- Sources for relational network analysis -- 7. Exploring traditional publications in a new environment. More bibliographic items -- Full text analysis -- Greater context -- 8. Web metrics and the web of data. The web of data -- Building the semantic web -- Implications of the web of data for web metrics -- Investigating the web of data today -- SPARQL -- Sindice -- LDSpider: an RDF web crawler -- 9. The future of web metrics and the library and information professional. How far we have come -- The future of web metrics -- The future of the library and information professional and web metrics.
  5. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.02
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    Date
    9. 7.2006 10:22:35
    Theme
    Citation indexing
  6. Peritz, B.C.: ¬A classification of citation roles for the social sciences and related fields (1983) 0.02
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    Theme
    Citation indexing
  7. McCain, K.W.: Co-cited author mapping as a valid representation of intellectual structure (1986) 0.02
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    Theme
    Citation indexing
  8. He, Y.; Hui, S.C.: Mining a web database for author cocitation analysis (2002) 0.02
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    Theme
    Citation indexing
  9. Theories of citation? (1998) 0.02
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    Theme
    Citation indexing
  10. Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001) 0.02
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    Theme
    Citation indexing
  11. Chaves Guimarães, J.A.; Tennis, J.T.: Constant pioneers : the citation frontiers of indexing theory in the ISKO international proceedings (2012) 0.02
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    Abstract
    Presents a citation analysis of indexing research in the ISKO Proceedings. Understanding that there are different traditions of research into indexing, we look for evidence of this in the citing and cited authors. Three areas of cited and citing authors surface, after applying Price's elitism analysis, each roughly corresponding to geographic distributions.
  12. Haustein, S.; Sugimoto, C.; Larivière, V.: Social media in scholarly communication : Guest editorial (2015) 0.02
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    Abstract
    One of the solutions to help scientists filter the most relevant publications and, thus, to stay current on developments in their fields during the transition from "little science" to "big science", was the introduction of citation indexing as a Wellsian "World Brain" (Garfield, 1964) of scientific information: It is too much to expect a research worker to spend an inordinate amount of time searching for the bibliographic descendants of antecedent papers. It would not be excessive to demand that the thorough scholar check all papers that have cited or criticized such papers, if they could be located quickly. The citation index makes this check practicable (Garfield, 1955, p. 108). In retrospective, citation indexing can be perceived as a pre-social web version of crowdsourcing, as it is based on the concept that the community of citing authors outperforms indexers in highlighting cognitive links between papers, particularly on the level of specific ideas and concepts (Garfield, 1983). Over the last 50 years, citation analysis and more generally, bibliometric methods, have developed from information retrieval tools to research evaluation metrics, where they are presumed to make scientific funding more efficient and effective (Moed, 2006). However, the dominance of bibliometric indicators in research evaluation has also led to significant goal displacement (Merton, 1957) and the oversimplification of notions of "research productivity" and "scientific quality", creating adverse effects such as salami publishing, honorary authorships, citation cartels, and misuse of indicators (Binswanger, 2015; Cronin and Sugimoto, 2014; Frey and Osterloh, 2006; Haustein and Larivière, 2015; Weingart, 2005).
    Date
    20. 1.2015 18:30:22
  13. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.02
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    Source
    Information processing and management. 22(1986), S.417-419
  14. Fiala, J.: Information flood : fiction and reality (1987) 0.02
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    Source
    Thermochimica acta. 110(1987), S.11-22
  15. Bordons, M.; Bravo, C.; Barrigón, S.: Time-tracking of the research profile of a drug using bibliometric tools (2004) 0.02
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    Abstract
    This study explores the usefulness of bibliometric analyses to detect trends in the research profile of a therapeutic drug, for which Aspirin was selected. A total of 22,144 documents dealing with Aspirin and published in journals covered by MEDLINE during the years 19652001 are studied. The research profile of Aspirin over the 37-year period is analyzed through Aspirin subheadings and McSH indexing terms. Half of the documents had Aspirin as a major indexing term, being the main aspects studied therapeutic uses (28% of the documents), pharmacodynamics (26%), adverse effects (18%), and administration and dosage (10%). A frequency data table crossing indexing terms x years is examined by correspondence analysis to obtain time trends, which are shown graphically in a map. Four time periods with a different distribution of indexing terms are identified through cluster analysis. The indexing term profile of every period is obtained by comparison of the distribution of indexing terms of each cluster with that of the whole period by means of the Chi-2 test. The research profile of the drug tends to change faster with time. The most relevant finding is the expanding therapeutic Profile of Aspirin over the period. The main advantages and limitations of the methodology are pointed out.
  16. Chu, H.: Research in image indexing and retrieval as reflected in the literature (2001) 0.02
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    Abstract
    Documents relevant to the subject of image indexing and retrieval, obtained from the SCI and SSCI databases, were examined and analyzed. The study confirms that there exist in this rapidly growing field two distinctive research groups employing the content-based and description-based approaches, respectively. However, research in the content-based domain is currently dominating in the field, while the other approach has less visibility. Although researchers using the content-based approach actively communicated with colleagues from the same group, collaboration between the different clusters of scientists should be further promoted and encouraged to advance research and development in image indexing and retrieval.
  17. Pulgarin, A.; Gil-Leiva, I.: Bibliometric analysis of the automatic indexing literature : 1956-2000 (2004) 0.02
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    Abstract
    We present a bibliometric study of a corpus of 839 bibliographic references about automatic indexing, covering the period 1956-2000. We analyse the distribution of authors and works, the obsolescence and its dispersion, and the distribution of the literature by topic, year, and source type. We conclude that: (i) there has been a constant interest on the part of researchers; (ii) the most studied topics were the techniques and methods employed and the general aspects of automatic indexing; (iii) the productivity of the authors does fit a Lotka distribution (Dmax=0.02 and critical value=0.054); (iv) the annual aging factor is 95%; and (v) the dispersion of the literature is low.
  18. Nacke, O.: Zitatenanalyse im engeren Sinne (1980) 0.02
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    Theme
    Citation indexing
  19. Nacke, O.: Fehlerquellen bei der Zitatenanalyse (1980) 0.02
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    Theme
    Citation indexing
  20. Vasiljev, A.: ¬The law of requisite variety as applied to subject indexing and retrieval (1989) 0.02
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Languages

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  • ro 1
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Types

  • a 295
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