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  • × theme_ss:"Informetrie"
  1. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.15
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    Date
    20. 1.2007 17:02:22
    Source
    Aslib proceedings. 57(2005) no.3, S.200-
  2. Juchem, K.: ¬Der Bibliotheksdienst in szientometrischer Analyse (2002) 0.03
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    Content
    Der BIBLIOTHEKSDIENST Ist das Organ der Bundesvereinigung Deutscher Bibliotheksverbände (BDB) und wird von der Zentral- und Landesbibliothek Berlin herausgegeben. Er ist eine Fachzeitschrift mit Mitteilungen und Berichten aus allen Bereichen der Bibliotheksarbeit. Der BIBLIOTHEKSDIENST erscheint monatlich (11mal im Jahr), die durchschnittliche Seitenzahl (im DIN A5-Format) beträgt 2.250 pro Jahrgang, wovon rund 200 bis 300 Seiten auf Anzeigen entfallen. Mit einer verkauften Auflage von 4.000 Exemplaren hat er eine große Reichweite in der deutschen Bibliothekswelt. 90% der Abonnenten leben in Deutschland, 10% im Ausland. Der Bezieherkreis setzt sich aus Bibliothekaren und verwandten Berufsgruppen (50%), aus Bibliotheken (40%) und Institutionen des Informationswesens (10%) zusammen. Der BIBLIOTHEKSDIENST erscheint als Printorgan, mit einer Verzögerung von drei Monaten werden die Artikel zusätzlich digital (http://bibliotheksdienst.zib.de) zur Verfügung gestellt. Wie werden die Beiträge des BIBLIOTHEKSDIENST rezipiert? Wo steht der BIBLIOTHEKSDIENST In der wissenschaftlichen Kommunikation?
  3. Ball, R.: Wissenschaftskommunikation im Wandel : die Verwendung von Fragezeichen im Titel von wissenschaftlichen Zeitschriftenbeiträgen in der Medizin, den Lebenswissenschaften und in der Physik von 1966 bis 2005 (2007) 0.03
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    Abstract
    Die Titel wissenschaftlicher Veröffentlichungen sind von besonderer Bedeutung. Wir haben fast 20 Millionen wissenschaftliche Artikel untersucht und den Anteil von Artikeln mit einem Fragezeichen am Ende des Titels im Laufe der letzten 40 Jahre analysiert. Unsere Studie beschränkte sich auf die Disziplinen Physik, Lebenswissenschaften und Medizin. Dabei haben wir eine deutliche Zunahme der Fragezeichen-Artikel von 50 Prozent auf mehr als 200 Prozent feststellten können. Vor diesem Hintergrund werden im vorliegenden Beitrag die grundsätzlichen Funktionen und Strukturen der Titel wissenschaftlicher Publikationen untersucht. Wir gehen davon aus, dass Marketing-Aspekte die entscheidenden Beweggründe sind für die zunehmende Nutzung von Fragezeichen-Titeln bei wissenschaftlichen Publikationen.
  4. Abt, H.A.; Garfield, E.: Is the relationship between numbers of references and paper lengths the same for all sciences? (2002) 0.03
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    Abstract
    It has been shown in the physical sciences that a paper's length is related to its number of references in a linear manner. Abt and Garfield here look at the life and social sciences with the thought that if the relation holds the citation counts will provide a measure of relative importance across these disciplines. In the life sciences 200 research papers from 1999-2000 were scanned in each of 10 journals to produce counts of 1000 word normalized pages. In the social sciences an average of 70 research papers in nine journals were scanned for the two-year period. Papers of average length in the various sciences have the same average number of references within plus or minus 17%. A look at the 30 to 60 papers over the two years in 18 review journals indicates twice the references of research papers of the same length.
  5. Orduna-Malea, E.; Thelwall, M.; Kousha, K.: Web citations in patents : evidence of technological impact? (2017) 0.03
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    Abstract
    Patents sometimes cite webpages either as general background to the problem being addressed or to identify prior publications that limit the scope of the patent granted. Counts of the number of patents citing an organization's website may therefore provide an indicator of its technological capacity or relevance. This article introduces methods to extract URL citations from patents and evaluates the usefulness of counts of patent web citations as a technology indicator. An analysis of patents citing 200 US universities or 177 UK universities found computer science and engineering departments to be frequently cited, as well as research-related webpages, such as Wikipedia, YouTube, or the Internet Archive. Overall, however, patent URL citations seem to be frequent enough to be useful for ranking major US and the top few UK universities if popular hosted subdomains are filtered out, but the hit count estimates on the first search engine results page should not be relied upon for accuracy.
  6. 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
  7. Nicolaisen, J.: Citation analysis (2007) 0.03
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    Date
    13. 7.2008 19:53:22
  8. Fiala, J.: Information flood : fiction and reality (1987) 0.03
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    Source
    Thermochimica acta. 110(1987), S.11-22
  9. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.02
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    Date
    22. 5.1999 19:22:35
  10. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.02
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    Date
    22. 7.2006 15:22:28
  11. Diodato, V.: Dictionary of bibliometrics (1994) 0.02
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
  12. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.02
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    Date
    22. 7.2006 18:55:29
  13. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.02
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    Date
    22. 7.2006 18:55:55
  14. Brown, C.: ¬The evolution of preprints in the scholarly communication of physicists and astronomers (2001) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.3, S.187-200
  15. Meho, L.I.; Yang, K.: Impact of data sources on citation counts and rankings of LIS faculty : Web of science versus scopus and google scholar (2007) 0.02
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    Abstract
    The Institute for Scientific Information's (ISI, now Thomson Scientific, Philadelphia, PA) citation databases have been used for decades as a starting point and often as the only tools for locating citations and/or conducting citation analyses. The ISI databases (or Web of Science [WoS]), however, may no longer be sufficient because new databases and tools that allow citation searching are now available. Using citations to the work of 25 library and information science (LIS) faculty members as a case study, the authors examine the effects of using Scopus and Google Scholar (GS) on the citation counts and rankings of scholars as measured by WoS. Overall, more than 10,000 citing and purportedly citing documents were examined. Results show that Scopus significantly alters the relative ranking of those scholars that appear in the middle of the rankings and that GS stands out in its coverage of conference proceedings as well as international, non-English language journals. The use of Scopus and GS, in addition to WoS, helps reveal a more accurate and comprehensive picture of the scholarly impact of authors. The WoS data took about 100 hours of collecting and processing time, Scopus consumed 200 hours, and GS a grueling 3,000 hours.
  16. Orduña-Malea, E.; Torres-Salinas, D.; López-Cózar, E.D.: Hyperlinks embedded in twitter as a proxy for total external in-links to international university websites (2015) 0.02
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    Abstract
    Twitter as a potential alternative source of external links for use in webometric analysis is analyzed because of its capacity to embed hyperlinks in different tweets. Given the limitations on searching Twitter's public application programming interface (API), we used the Topsy search engine as a source for compiling tweets. To this end, we took a global sample of 200 universities and compiled all the tweets with hyperlinks to any of these institutions. Further link data was obtained from alternative sources (MajesticSEO and OpenSiteExplorer) in order to compare the results. Thereafter, various statistical tests were performed to determine the correlation between the indicators and the possibility of predicting external links from the collected tweets. The results indicate a high volume of tweets, although they are skewed by the performance of specific universities and countries. The data provided by Topsy correlated significantly with all link indicators, particularly with OpenSiteExplorer (r?=?0.769). Finally, prediction models do not provide optimum results because of high error rates. We conclude that the use of Twitter (via Topsy) as a source of hyperlinks to universities produces promising results due to its high correlation with link indicators, though limited by policies and culture regarding use and presence in social networks.
  17. 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
  18. Barjak, F.; Li, X.; Thelwall, M.: Which factors explain the Web impact of scientists' personal homepages? (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.2, S.200-211
  19. Raan, A.F.J. van: Statistical properties of bibliometric indicators : research group indicator distributions and correlations (2006) 0.01
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    Date
    22. 7.2006 16:20:22
  20. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.01
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    Date
    22. 3.2009 19:22:35

Years

Languages

  • e 115
  • d 9
  • ro 1
  • More… Less…

Types

  • a 123
  • m 2
  • el 1
  • s 1
  • More… Less…