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  • × theme_ss:"Informetrie"
  1. Science and technology indicators (1998) 0.07
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    Language
    e
    Source
    Journal of the American Society for Information Science. 49(1998) no.1, S.1-91
  2. Informetrics '91 : selected papers from the 3rd International Conference on Bibliometrics, 9-12 Aug. 1991, Bangalore (1993) 0.06
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  3. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.04
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    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  4. Alvarado, R.U.: ¬Una revision critica de la ley de Bradford (1996) 0.04
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    Abstract
    Bradford's law is widely used in collection development to identify the most productive periodicals, but does nott take into account the variables of frequency of publication and number of years of publication during a particular time span. Hence not all periodicals necessarily have the same opportunity to publish relevant articles. To test this hypothesis, the productivity of American sociology periodicals during 1987-91 was analysed and shown to correlate with frequency of publication and number of years of publication, giving a more accurate representation than using Bradford's law as originally formulated
    Source
    Investigaçion Bibliotecologica: Archivonomia; Bibliotecologia e Informaçion. 10(1996) no.20, S.16-26
  5. Quoniam, L.: Bibliometric law used for information retrieval (1998) 0.04
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    Language
    e
    Source
    Scientometrics. 41(1998) nos.1/2, S.83-91
  6. Craven, T.C.: Determining authorship of Web pages (2006) 0.04
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    Abstract
    Assignability of authors to Web pages using either normal browsing procedures or browsing assisted by simple automatic extraction was investigated. Candidate strings for 1000 pages were extracted automatically from title elements, meta-tags, and address-like and copyright-like passages; 539 of the pages produced at least one candidate: 310 candidates from titles, 66 from meta-tags, 91 from address-like passages, and 259 from copyright-like passages. An assistant attempted to identify personal authors for 943 pages by examining the pages themselves and related pages; this added 90 pages with authors to the pages from which no candidate strings were extracted. Specific problems are noted and some refinements to the extraction methods are suggested.
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  7. Esler, S.L.; Nelson, M.L.: Evolution of scientific and technical information distribution (1998) 0.03
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    Language
    e
    Source
    Journal of the American Society for Information Science. 49(1998) no.1, S.82-91
  8. Al, U.; Sahiner, M.; Tonta, Y.: Arts and humanities literature : bibliometric characteristics of contributions by Turkish authors (2006) 0.03
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    Abstract
    Scholarly communication in arts and humanities differs from that in the sciences. Arts and humanities scholars rely primarily on monographs as a medium of publication whereas scientists consider articles that appear in scholarly journals as the single most important publication outlet. The number of journal citation studies in arts and humanities is therefore limited. In this article, we investigate the bibliometric characteristics of 507 arts and humanities journal articles written by authors affiliated with Turkish institutions and indexed in the Arts & Humanities Citation Index (A&HCI) between the years 1975-2003. Journal articles constituted more than 60% of all publications. One third of all contributions were published during the last 4 years (1999-2003) and appeared in 16 different journals. An overwhelming majority of contributions (91%) were written in English, and 83% of them had single authorship. Researchers based at Turkish universities produced 90% of all publications. Two thirds of references in publications were to monographs. The median age of all references was 12 years. Eighty percent of publications authored by Turkish arts and humanities scholars were not cited at all while the remaining 20% (or 99 publications) were cited 304 times (an average of three citations per publication). Self-citation ratio was 31%. Two thirds of the cited publications were cited for the first time within 2 years of their publications.
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  9. Kousha, K.; Thelwall, M.: ¬An automatic method for extracting citations from Google Books (2015) 0.03
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    Abstract
    Recent studies have shown that counting citations from books can help scholarly impact assessment and that Google Books (GB) is a useful source of such citation counts, despite its lack of a public citation index. Searching GB for citations produces approximate matches, however, and so its raw results need time-consuming human filtering. In response, this article introduces a method to automatically remove false and irrelevant matches from GB citation searches in addition to introducing refinements to a previous GB manual citation extraction method. The method was evaluated by manual checking of sampled GB results and comparing citations to about 14,500 monographs in the Thomson Reuters Book Citation Index (BKCI) against automatically extracted citations from GB across 24 subject areas. GB citations were 103% to 137% as numerous as BKCI citations in the humanities, except for tourism (72%) and linguistics (91%), 46% to 85% in social sciences, but only 8% to 53% in the sciences. In all cases, however, GB had substantially more citing books than did BKCI, with BKCI's results coming predominantly from journal articles. Moderate correlations between the GB and BKCI citation counts in social sciences and humanities, with most BKCI results coming from journal articles rather than books, suggests that they could measure the different aspects of impact, however.
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  10. Scientometrics pioneer Eugene Garfield dies : Eugene Garfield, founder of the Institute for Scientific Information and The Scientist, has passed away at age 91 (2017) 0.03
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    Biographed
    Garfield, E.
    Content
    Vgl. auch Open Password, Nr.167 vom 01.03.2017 :"Eugene Garfield, Begründer und Pionier der Zitationsindexierung und der Ziationsanalyse, ohne den die Informationswissenschaft heute anders aussähe, ist im Alter von 91 Jahren gestorben. Er hinterlässt Frau, drei Söhne, eine Tochter, eine Stieftochter, zwei Enkeltöchter und zwei Großelternkinder. Garfield machte seinen ersten Abschluss als Bachelor in Chemie an der Columbia University in New York City im Jahre 1949. 1954 sattelte er einen Abschluss in Bibliothekswissenschaft drauf. 1961 sollte er im Fach strukturelle Linguistik promovieren. Als Chemie-Student war er nach eigenen Angaben weder besonders gut noch besonders glücklich. Sein "Erweckungserlebnis" hatte er auf einer Tagung der American Chemical Society, als er entdeckte, dass sich mit der Suche nach Literatur womöglich ein Lebensunterhalt bestreiten lasse. "So I went to the Chairman of the meeting and said: "How do you get a job in this racket?" Ab 1955 war Garfield zunächst als Berater für pharmazeutische Unternehmen tätig. Dort spezialisierte er sich auf Fachinformationen, indem er Inhalte relevanter Fachzeitschriften erarbeitete. 1955 schlug er in "Science" seine bahnbrechende Idee vor, Zitationen wissenschaftlicher Veröffentlichungen systematisch zu erfassen und Zusammenhänge zwischen Zitaten deutlich zu machen. 1960 gründete Garfield das Institute für Scientific Informationen, dessen CEO er bis 1992 blieb. 1964 brachte er den Scientific Information Index heraus. Weitere Maßgrößen wie der Social Science Index (ab 1973), der Arts and Humanities Citation Index (ab 1978) und der Journal Citation Index folgten. Diese Verzeichnisse wurden in dem "Web of Science" zusammengefasst und als Datenbank elektronisch zugänglich gemacht. Damit wurde es den Forschern ermöglich, die für sie relevante Literatur "at their fingertips" zu finden und sich in ihr zurechtzufinden. Darüber hinaus wurde es mit Hilfe der Rankings von Garfields Messgrößen möglich, die relative wissenschaftliche Bedeutung wissenschaftlicher Beiträge, Autoren, wissenschaftlicher Einrichtungen, Regionen und Länder zu messen.
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  11. Haridasan, S.; Kulshrestha, V.K.: Citation analysis of scholarly communication in the journal Knowledge Organization (2007) 0.02
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    Abstract
    Purpose - Citation analysis is one of the popular methods employed for identification of core documents and complex relationship between citing and cited documents for a particular scholarly community in a geographical proximity. The present citation study is to understand the information needs, use pattern and use behaviour of library and information science researchers particularly engaged in the field of knowledge organization. Design/methodology/approach - The data relating to all the references appended to the articles during the period under study were collected and tabulated. Findings - Citation analysis of the journal for the period under study reveals that the average number of citations is around 21 per article. The major source of information is books and documents published during the later half of the century (1982-91). Authors from the USA, UK and Germany are the major contributors to the journal. India is ranked seventh in terms of contributions. Research limitations/implications - The study undertaken is limited to nine years, i.e. 1993-2001. The model citation index of the journal is analyzed using the first seven core authors. Practical implications - Ranking of periodicals helps to identify the core periodicals cited in the journal Knowledge Organization. Ranking of authors is done to know the eminent personalities in the subject, whose work is used by the authors to refine their ideas on the subject or topic. Originality/value - Model Citation Index for the first seven most cited authors was worked out and it reveals the historical relationship of cited and citing documents. This model citation index can be used to identify, the most cited authors as researchers currently working on special problems, to determine whether a paper has been cited, whether there has been a review of a subject, whether a concept has been applied, a theory confirmed or a method improved.
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  12. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.01
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    Source
    Information processing and management. 22(1986), S.417-419
  13. Nicolaisen, J.: Citation analysis (2007) 0.01
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    Date
    13. 7.2008 19:53:22
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  14. Fiala, J.: Information flood : fiction and reality (1987) 0.01
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    Source
    Thermochimica acta. 110(1987), S.11-22
  15. Parthey, H.: Strukturwandel der bibliometrischen Profile wissenschaftlicher Institutionen im 20. Jahrhundert (2006) 0.01
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    Pages
    S.91-105
  16. Diodato, V.: Dictionary of bibliometrics (1994) 0.01
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
    Language
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  17. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.01
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    Date
    22. 7.2006 18:55:29
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  18. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.01
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    Date
    22. 7.2006 18:55:55
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  19. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.01
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  20. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.01
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    Date
    22. 7.2006 15:22:28
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    e

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