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  • × theme_ss:"Informetrie"
  1. Hassler, M.: Web analytics : Metriken auswerten, Besucherverhalten verstehen, Website optimieren ; [Metriken analysieren und interpretieren ; Besucherverhalten verstehen und auswerten ; Website-Ziele definieren, Webauftritt optimieren und den Erfolg steigern] (2009) 0.03 
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    Abstract
    Web Analytics bezeichnet die Sammlung, Analyse und Auswertung von Daten der Website-Nutzung mit dem Ziel, diese Informationen zum besseren Verständnis des Besucherverhaltens sowie zur Optimierung der Website zu nutzen. Je nach Ziel der eigenen Website - z.B. die Vermittlung eines Markenwerts oder die Vermehrung von Kontaktanfragen, Bestellungen oder Newsletter-Abonnements - können Sie anhand von Web Analytics herausfinden, wo sich Schwachstellen Ihrer Website befinden und wie Sie Ihre eigenen Ziele durch entsprechende Optimierungen besser erreichen. Dabei ist Web Analytics nicht nur für Website-Betreiber und IT-Abteilungen interessant, sondern wird insbesondere auch mehr und mehr für Marketing und Management nutzbar. Mit diesem Buch lernen Sie, wie Sie die Nutzung Ihrer Website analysieren. Sie können z. B. untersuchen, welche Traffic-Quelle am meisten Umsatz bringt oder welche Bereiche der Website besonders häufig genutzt werden und vieles mehr. Auf diese Weise werden Sie Ihre Besucher, ihr Verhalten und ihre Motivation besser kennen lernen, Ihre Website darauf abstimmen und somit Ihren Erfolg steigern können. Um aus Web Analytics einen wirklichen Mehrwert ziehen zu können, benötigen Sie fundiertes Wissen. Marco Hassler gibt Ihnen in seinem Buch einen umfassenden Einblick in Web Analytics. Er zeigt Ihnen detailliert, wie das Verhalten der Besucher analysiert wird und welche Metriken Sie wann sinnvoll anwenden können. Im letzten Teil des Buches zeigt Ihnen der Autor, wie Sie Ihre Auswertungsergebnisse dafür nutzen, über Conversion-Messungen die Website auf ihre Ziele hin zu optimieren. Ziel dieses Buches ist es, konkrete Web-Analytics-Kenntnisse zu vermitteln und wertvolle praxisorientierte Tipps zu geben. Dazu schlägt das Buch die Brücke zu tangierenden Themenbereichen wie Usability, User-Centered-Design, Online Branding, Online-Marketing oder Suchmaschinenoptimierung. Marco Hassler gibt Ihnen klare Hinweise und Anleitungen, wie Sie Ihre Ziele erreichen.
    Footnote
    Rez. in Mitt. VÖB 63(2010) H.1/2, S.147-148 (M. Buzinkay): "Webseiten-Gestaltung und Webseiten-Analyse gehen Hand in Hand. Leider wird das Letztere selten wenn überhaupt berücksichtigt. Zu Unrecht, denn die Analyse der eigenen Maßnahmen ist zur Korrektur und Optimierung entscheidend. Auch wenn die Einsicht greift, dass die Analyse von Webseiten wichtig wäre, ist es oft ein weiter Weg zur Realisierung. Warum? Analyse heißt kontinuierlicher Aufwand, und viele sind nicht bereit beziehungsweise haben nicht die zeitlichen Ressourcen dazu. Ist man einmal zu der Überzeugung gelangt, dass man seine Web-Aktivitäten dennoch optimieren, wenn nicht schon mal gelegentlich hinterfragen sollte, dann lohnt es sich, Marco Hasslers "Web Analytics" in die Hand zu nehmen. Es ist definitiv kein Buch für einen einzigen Lese-Abend, sondern ein Band, mit welchem gearbeitet werden muss. D.h. auch hier: Web-Analyse bedeutet Arbeit und intensive Auseinandersetzung (ein Umstand, den viele nicht verstehen und akzeptieren wollen). Das Buch ist sehr dicht und bleibt trotzdem übersichtlich. Die Gliederung der Themen - von den Grundlagen der Datensammlung, über die Definition von Metriken, hin zur Optimierung von Seiten und schließlich bis zur Arbeit mit Web Analyse Werkzeugen - liefert einen roten Faden, der schön von einem Thema auf das nächste aufbaut. Dadurch fällt es auch leicht, ein eigenes Projekt begleitend zur Buchlektüre Schritt für Schritt aufzubauen. Zahlreiche Screenshots und Illustrationen erleichtern zudem das Verstehen der Zusammenhänge und Erklärungen im Text. Das Buch überzeugt aber auch durch seine Tiefe (bis auf das Kapitel, wo es um die Zusammenstellung von Personas geht) und den angenehm zu lesenden Schreibstil. Von mir kommt eine dringende Empfehlung an alle, die sich mit Online Marketing im Allgemeinen, mit Erfolgskontrolle von Websites und Web-Aktivitäten im Speziellen auseindersetzen."
  2. Winnink, J.J.; Tijssen, R.J.W.; Raan, F.J. van: Theory-changing breakthroughs in science : the impact of research teamwork on scientific discoveries (2016) 0.02 
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  3. Alonso, S.; Cabrerizo, F.J.; Herrera-Viedma, E.; Herrera, F.: WoS query partitioner : a tool to retrieve very large numbers of items from the Web of Science using different source-based partitioning approaches (2010) 0.02 
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  4. 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
  5. Nicolaisen, J.: Citation analysis (2007) 0.02 
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    Date
    13. 7.2008 19:53:22
  6. Fiala, J.: Information flood : fiction and reality (1987) 0.02 
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    Source
    Thermochimica acta. 110(1987), S.11-22
  7. Theories of informetrics and scholarly communication : a Festschrift in honor of Blaise Cronin (2016) 0.01 
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    Footnote
    Rez. in: JASIST 68(2017) no.9, S.2275-2283 (Anthony F.J. van Raan)
  8. 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
  9. 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
  10. 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)
  11. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.01 
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    Date
    22. 7.2006 18:55:29
  12. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.01 
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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) 0.01 
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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) 0.01 
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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) 0.01 
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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) 0.01 
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    Date
    22. 3.2009 19:22:35
  17. 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
  18. 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
  19. Mommoh, O.M.: Subject analysis of post-graduate theses in library, archival and information science at Ahmadu Bello University, Zaria (1995/96) 0.01 
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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) 0.01 
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    Date
    22. 5.1999 19:12:28

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