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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) 0.05 
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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. Tüür-Fröhlich, T.: Blackbox SSCI : Datenerfassung und Datenverarbeitung bei der kommerziellen Indexierung von Zitaten (2019) 0.02 
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    Abstract
    Zahlreiche Autoren, Autorinnen und kritische Initiativen (z. B. DORA) kritisieren den zu hohen und schädlichen Einfluss quantitativer Daten, welche akademische Instanzen für Evaluationszwecke heranziehen. Wegen des großen Einflusses der globalen Zitatdatenbanken von Thomson Reuters (bzw. Clarivate Analytics) auf die Bewertung der wissenschaftlichen Leistungen von Forscherinnen und Forschern habe ich extensive qualitative und quantitative Fallstudien zur Datenqualität des Social Sciences Citation Index (SSCI) durchgeführt, d. h. die Originaleinträge mit den SSCI-Datensätzen verglichen. Diese Fallstudien zeigten schwerste - nie in der Literatur erwähnte - Fehler, Verstümmelungen, Phantomautoren, Phantomwerke (Fehlerrate in der Fallstudie zu Beebe 2010, Harvard Law Review: 99 Prozent). Über die verwendeten Datenerfassungs- und Indexierungsverfahren von TR bzw. Clarivate Analytics ist nur wenig bekannt. Ein Ergebnis meiner Untersuchungen: Bei der Indexierung von Verweisen in Fußnoten (wie in den Rechtswissenschaften, gerade auch der USA, vorgeschrieben) scheinen die verwendeten Textanalyse-Anwendungen und -Algorithmen völlig überfordert. Eine Qualitätskontrolle scheint nicht stattzufinden. Damit steht der Anspruch des SSCI als einer multidisziplinären Datenbank zur Debatte. Korrekte Zitate in den Fußnoten des Originals können zu Phantom-Autoren, Phantom-Werken und Phantom-Referenzen degenerieren. Das bedeutet: Sämtliche Zeitschriften und Disziplinen, deren Zeitschriften und Büchern dieses oder ähnliche Zitierverfahren verwenden (Oxford-Style), laufen Gefahr, aufgrund starker Zitatverluste falsch, d. h. unterbewertet, zu werden. Wie viele UBOs (Unidentifiable Bibliographic Objects) sich in den Datenbanken SCI, SSCI und AHCI befinden, wäre nur mit sehr aufwändigen Prozeduren zu klären. Unabhängig davon handelt es sich, wie bei fast allen in meinen Untersuchungen gefundenen fatalen Fehlern, eindeutig um endogene Fehler in den Datenbanken, die nicht, wie oft behauptet, angeblich falsch zitierenden Autorinnen und Autoren zugeschrieben werden können, sondern erst im Laufe der Dateneingabe und -verarbeitung entstehen.
  3. Menczer, F.: Lexical and semantic clustering by Web links (2004) 0.02 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. Tavakolizadeh-Ravari, M.: Analysis of the long term dynamics in thesaurus developments and its consequences (2017) 0.01 
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    Abstract
    Die Arbeit analysiert die dynamische Entwicklung und den Gebrauch von Thesaurusbegriffen. Zusätzlich konzentriert sie sich auf die Faktoren, die die Zahl von Indexbegriffen pro Dokument oder Zeitschrift beeinflussen. Als Untersuchungsobjekt dienten der MeSH und die entsprechende Datenbank "MEDLINE". Die wichtigsten Konsequenzen sind: 1. Der MeSH-Thesaurus hat sich durch drei unterschiedliche Phasen jeweils logarithmisch entwickelt. Solch einen Thesaurus sollte folgenden Gleichung folgen: "T = 3.076,6 Ln (d) - 22.695 + 0,0039d" (T = Begriffe, Ln = natürlicher Logarithmus und d = Dokumente). Um solch einen Thesaurus zu konstruieren, muss man demnach etwa 1.600 Dokumente von unterschiedlichen Themen des Bereiches des Thesaurus haben. Die dynamische Entwicklung von Thesauri wie MeSH erfordert die Einführung eines neuen Begriffs pro Indexierung von 256 neuen Dokumenten. 2. Die Verteilung der Thesaurusbegriffe erbrachte drei Kategorien: starke, normale und selten verwendete Headings. Die letzte Gruppe ist in einer Testphase, während in der ersten und zweiten Kategorie die neu hinzukommenden Deskriptoren zu einem Thesauruswachstum führen. 3. Es gibt ein logarithmisches Verhältnis zwischen der Zahl von Index-Begriffen pro Aufsatz und dessen Seitenzahl für die Artikeln zwischen einer und einundzwanzig Seiten. 4. Zeitschriftenaufsätze, die in MEDLINE mit Abstracts erscheinen erhalten fast zwei Deskriptoren mehr. 5. Die Findablity der nicht-englisch sprachigen Dokumente in MEDLINE ist geringer als die englische Dokumente. 6. Aufsätze der Zeitschriften mit einem Impact Factor 0 bis fünfzehn erhalten nicht mehr Indexbegriffe als die der anderen von MEDINE erfassten Zeitschriften. 7. In einem Indexierungssystem haben unterschiedliche Zeitschriften mehr oder weniger Gewicht in ihrem Findability. Die Verteilung der Indexbegriffe pro Seite hat gezeigt, dass es bei MEDLINE drei Kategorien der Publikationen gibt. Außerdem gibt es wenige stark bevorzugten Zeitschriften."
  5. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.00 
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    Source
    Information processing and management. 22(1986), S.417-419
  6. Nicolaisen, J.: Citation analysis (2007) 0.00 
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    Date
    13. 7.2008 19:53:22
  7. Fiala, J.: Information flood : fiction and reality (1987) 0.00 
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    Source
    Thermochimica acta. 110(1987), S.11-22
  8. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.00 
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    Date
    22. 5.1999 19:22:35
  9. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.00 
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    Date
    22. 7.2006 15:22:28
  10. Diodato, V.: Dictionary of bibliometrics (1994) 0.00 
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
  11. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.00 
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    Date
    22. 7.2006 18:55:29
  12. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.00 
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    Date
    22. 7.2006 18:55:55
  13. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.00 
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    Date
    20. 1.2007 17:02:22
  14. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.00 
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    Date
    18. 3.2014 19:13:22
  15. Raan, A.F.J. van: Statistical properties of bibliometric indicators : research group indicator distributions and correlations (2006) 0.00 
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    Date
    22. 7.2006 16:20:22
  16. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.00 
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    Date
    22. 3.2009 19:22:35
  17. Li, T.-C.: Reference sources in periodicals : research note (1995) 0.00 
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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
  18. Pichappan, P.; Sangaranachiyar, S.: Ageing approach to scientific eponyms (1996) 0.00 
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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
  19. Mommoh, O.M.: Subject analysis of post-graduate theses in library, archival and information science at Ahmadu Bello University, Zaria (1995/96) 0.00 
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    Source
    Library focus. 13/14(1995/96), S.22-25
  20. Chongde, W.; Zhe, W.: Evaluation of the models for Bradford's law (1998) 0.00 
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    Date
    22. 5.1999 19:12:28

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