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  • × theme_ss:"Informetrie"
  1. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.07 
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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.
  2. ¬Die deutsche Zeitschrift für Dokumentation, Informationswissenschaft und Informationspraxis von 1950 bis 2011 : eine vorläufige Bilanz in vier Abschnitten (2012) 0.04 
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    Date
    22. 7.2012 19:35:26
  3. Dees, W.: "Publication power approach" (2013) 0.02 
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    Abstract
    Die Publikationslandschaft der Erziehungswissenschaft ist durch eine enorme Breite undVielfalt sowie zahlreiche Verbindungen in benachbarte Felder gekennzeichnet. Aktuelle Analysen zum Publikationsverhalten von Erziehungswissenschaftlern zeigen, dass diese Hunderte von verschiedenen Zeitschriften und Verlagen zur Veröffentlichung nutzen. Um aus dieser Fülle an Publikationsorten die bedeutendsten zu ermitteln, wird ein neuer Ansatz zur Zeitschriftenbewertung, der "publication power approach" von Holsapple, auf die deutsche Erziehungswissenschaft übertragen. Dieser Ansatz basiert auf dem Publikationsverhalten von Forschern an ausgewählten Institutionen und stellt eine Alternative zu Expertenbefragungen und Zitationsanalysen dar. Der Beitrag stellt wesentlich Ergebnisse zur "publication power" von Zeitschriften und Verlagen der Erziehungswissenschaft vor und diskutiert Vor- und Nachteile dieses Ansatzes im Vergleich zu den herkömmlichen Bewertungsmethoden.
  4. Schlögl, C; Stock, W.G.: Deutsche Zeitschriften des Bibliotheks- und Informationswesens : Leser, Zitate und Redaktionen in szientometrischer Analyse (2006) 0.02 
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  5. Stock, W.G.: Forschung im internationalen Vergleich - Wissenschaftsindikatoren auf Zitationsbasis : ISI Essential Science Indicators (2002) 0.01 
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    Abstract
    Bewertung wissenschaftlicher Forschungsergebnisse aus einer elektronischen Datenbank heraus? Rangordnungen der wichtigsten Institutionen, Wissenschaftler, Zeitschriften und sogar Länder in Fachdisziplinen nach Einfluss? Markierung "heißer", hochaktueller Artikel? Auflisten der hochzitierten Forschungsfronten in den einzelnen Wissenschaftsdisziplinen? Und das alles auf Knopfdruck und nicht mittels umständlicher szientometrischer Verfahren? Geht so etwas überhaupt? Es geht. Mit den "Essential Science Indicators" (ESI) legt das ISl ein webbasiertes Informationssystem zur Wissenschaftsevaluation vor, das einzigartige Ergebnisse präsentiert und in der Tat ausgesprochen einfach zu bedienen ist. Aber es geht, verglichen mit ausgeklügelten Methoden der empirischen Wissenschaftsforschung, nicht alles. Wo liegen die Grenzen des Systems? Wir werden die Arbeitsweise der ESI, seine Datenbasis, die eingesetzten informetrischen Algorithmen - und deren methodischen Probleme, die Suchoberfläche sowie die Ergebnisdarstellung skizzieren. Als Beispiel dienen uns Aspekte deutscher Forschung. Etwa: In welcher Disziplin haben Deutschlands Forscher den größten internationalen Einfluss? Welches deutsche Institut der Neurowissenschaften kann aufglobaler Ebene mitmischen? Oder: Welcher in Deutschland tätige Wissenschaftler führt eine disziplinspezifische Rangordnung an?Letztlich: Wer braucht die "Essential Science Indicators"? - Wir testeten die Essential Science Indicators Mitte Februar 2002 anhand der Version vom 1. Januar 2002, die das Zehn-Jahres-Intervall 1991 bis 2000 sowie die ersten zehn Monate aus 2001 berücksichtigt.
  6. 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
  7. Nicolaisen, J.: Citation analysis (2007) 0.01 
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    Date
    13. 7.2008 19:53:22
  8. Fiala, J.: Information flood : fiction and reality (1987) 0.01 
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    Source
    Thermochimica acta. 110(1987), S.11-22
  9. Ufen, F.: ¬Das System als Roman : Eine Regelmäßigkeit der Worthäufigkeit passt bemerkenswerterweise auch auf Unternehmensgrößen und die Größe von Städten (2015) 0.01 
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    Abstract
    Im Jahre 2010 hatte New York 8 175 000 Einwohner. Los Angeles war mit 3 793 000 Menschen die zweitgrößte Stadt der Vereinigten Staaten. Dann folgten Chicago mit 2 696 000, Houston mit 2 100 000 und Philadelphia mit 1 526 000 Einwohnern. Zwischen den Einwohnerzahlen sämtlicher amerikanischer Städte besteht ein verblüffender statistischer Zusammenhang: Die zweitgrößte Stadt der USA hat ungefähr halb so viele Einwohner wie New York, die drittgrößte Stadt hat etwa ein Drittel der Einwohnerzahl New Yorks, die viertgrößte Stadt etwa ein Viertel, die fünftgrößte etwa ein Fünftel, usw., usw. Dieser statistische Zusammenhang zwischen dem Rangplatz einer Stadt und ihrer Einwohnerzahl bedeutet, dass die Bevölkerungsverteilung dem Zipfschen Gesetz gehorcht - d.h. die Einwohnerzahl jeder Stadt verhält sich umgekehrt proportional zu ihrer Position in einer absteigenden Rangfolge. Der US-amerikanische Linguist George Kingsley Zipf (1902-1950) formulierte das nach ihm benannte Gesetz allerdings in einem ganz anderen Zusammenhang. Zipf hat entdeckt, dass in Texten jeder beliebigen indoeuropäischen Sprache (zum Beispiel in irgendeinem Roman) das am häufigsten gebrauchte Wort ungefähr doppelt so oft vorkommt wie das am zweithäufigsten verwendete, drei Mal so oft wi das am dritthäufigsten auftauchende usw. Zipf hat außerdem herausgefunden, dass die Wörter einer Sprache, die in der Alltagskommunikation am häufigsten verwendet werden, in aller Regel auch die kürzesten und die ältesten sind. Seine Untersuchungen machten ihn zu einem Pionier der quantitativen Erforschung sprachlicher Phänomene.
  10. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.01 
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    Date
    22. 5.1999 19:22:35
  11. 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
  12. 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)
  13. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.01 
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    Date
    22. 7.2006 18:55:29
  14. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.01 
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    22. 7.2006 18:55:55
  15. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.01 
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    Date
    20. 1.2007 17:02:22
  16. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.01 
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    Date
    18. 3.2014 19:13:22
  17. 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
  18. 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
  19. Li, T.-C.: Reference sources in periodicals : research note (1995) 0.01 
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    Abstract
    Presents a list of 53 periodicals in 22 subject fields which regularly provide bibliographies of theses, research in progress and patents in their particular subject field. The fields of business, economics, history and literature have most periodical listings of dissertations and theses. Also lists 63 periodicals in 25 sub-disciplines which provide rankings or ratings. Rankings and ratings information predominates in the fields of business, sports and games, finance and banking, and library and information science
  20. Pichappan, P.; Sangaranachiyar, S.: Ageing approach to scientific eponyms (1996) 0.01 
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    Footnote
    Report presented at the 16th National Indian Association of Special Libraries and Information Centres Seminar Special Interest Group Meeting on Informatrics in Bombay, 19-22 Dec 94

Authors

Years

Languages

  • e 109
  • d 12
  • ro 1
  • More… Less…

Types

  • a 120
  • m 2
  • el 1
  • s 1
  • More… Less…

Themes

Subjects

Classifications