Search (143 results, page 1 of 8)

  • × theme_ss:"Informetrie"
  • × year_i:[2000 TO 2010}
  1. Järvelin, K.; Persson, O.: ¬The DCI-index : discounted cumulated impact-based research evaluation (2008) 0.03
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    Abstract
    The article by K. Järvelin & O. Persson published in JASIST 59(9), The DCI-Index: Discounted Cumulated Impact-Based Research Evaluation, (pp. 1433-1440) contains an unfortunate error in one of its formulas, Equation 3. The present paper gives the correction and an example of impact analysis based on the corrected formula.
    Object
    h-index
  2. H-Index auch im Web of Science (2008) 0.03
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    Content
    "Zur Kurzmitteilung "Latest enhancements in Scopus: ... h-Index incorporated in Scopus" in den letzten Online-Mitteilungen (Online-Mitteilungen 92, S.31) ist zu korrigieren, dass der h-Index sehr wohl bereits im Web of Science enthalten ist. Allerdings findet man/frau diese Information nicht in der "cited ref search", sondern neben der Trefferliste einer Quick Search, General Search oder einer Suche über den Author Finder in der rechten Navigationsleiste unter dem Titel "Citation Report". Der "Citation Report" bietet für die in der jeweiligen Trefferliste angezeigten Arbeiten: - Die Gesamtzahl der Zitierungen aller Arbeiten in der Trefferliste - Die mittlere Zitationshäufigkeit dieser Arbeiten - Die Anzahl der Zitierungen der einzelnen Arbeiten, aufgeschlüsselt nach Publikationsjahr der zitierenden Arbeiten - Die mittlere Zitationshäufigkeit dieser Arbeiten pro Jahr - Den h-Index (ein h-Index von x sagt aus, dass x Arbeiten der Trefferliste mehr als x-mal zitiert wurden; er ist gegenüber sehr hohen Zitierungen einzelner Arbeiten unempfindlicher als die mittlere Zitationshäufigkeit)."
    Date
    6. 4.2008 19:04:22
    Object
    H-Index
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.1, S.124-125
  3. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.02
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    Date
    4.12.2006 12:12:22
    Source
    Information - Wissenschaft und Praxis. 57(2006) H.8, S.401-406
  4. Rostaing, H.; Barts, N.; Léveillé, V.: Bibliometrics: representation instrument of the multidisciplinary positioning of a scientific area : Implementation for an Advisory Scientific Committee (2007) 0.02
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    Date
    30.12.2007 11:22:39
  5. Järvelin, K.; Persson, O.: ¬The DCI index : discounted cumulated impact-based research evaluation (2008) 0.02
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    Abstract
    Research evaluation is increasingly popular and important among research funding bodies and science policy makers. Various indicators have been proposed to evaluate the standing of individual scientists, institutions, journals, or countries. A simple and popular one among the indicators is the h-index, the Hirsch index (Hirsch 2005), which is an indicator for lifetime achievement of a scholar. Several other indicators have been proposed to complement or balance the h-index. However, these indicators have no conception of aging. The AR-index (Jin et al. 2007) incorporates aging but divides the received citation counts by the raw age of the publication. Consequently, the decay of a publication is very steep and insensitive to disciplinary differences. In addition, we believe that a publication becomes outdated only when it is no longer cited, not because of its age. Finally, all indicators treat citations as equally material when one might reasonably think that a citation from a heavily cited publication should weigh more than a citation froma non-cited or little-cited publication.We propose a new indicator, the Discounted Cumulated Impact (DCI) index, which devalues old citations in a smooth way. It rewards an author for receiving new citations even if the publication is old. Further, it allows weighting of the citations by the citation weight of the citing publication. DCI can be used to calculate research performance on the basis of the h-core of a scholar or any other publication data.
    Content
    Erratum in: Järvelin, K., O. Persson: The DCI-index: discounted cumulated impact-based research evaluation. Erratum re. In: Journal of the American Society for Information Science and Technology. 59(2008) no.14, S.2350-2352.
  6. Meho, L.I.; Rogers, Y.: Citation counting, citation ranking, and h-index of human-computer interaction researchers : a comparison of Scopus and Web of Science (2008) 0.02
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    Abstract
    This study examines the differences between Scopus and Web of Science in the citation counting, citation ranking, and h-index of 22 top human-computer interaction (HCI) researchers from EQUATOR - a large British Interdisciplinary Research Collaboration project. Results indicate that Scopus provides significantly more coverage of HCI literature than Web of Science, primarily due to coverage of relevant ACM and IEEE peer-reviewed conference proceedings. No significant differences exist between the two databases if citations in journals only are compared. Although broader coverage of the literature does not significantly alter the relative citation ranking of individual researchers, Scopus helps distinguish between the researchers in a more nuanced fashion than Web of Science in both citation counting and h-index. Scopus also generates significantly different maps of citation networks of individual scholars than those generated by Web of Science. The study also presents a comparison of h-index scores based on Google Scholar with those based on the union of Scopus and Web of Science. The study concludes that Scopus can be used as a sole data source for citation-based research and evaluation in HCI, especially when citations in conference proceedings are sought, and that researchers should manually calculate h scores instead of relying on system calculations.
    Object
    h-index
  7. Juchem, K.: ¬Der Bibliotheksdienst in szientometrischer Analyse (2002) 0.02
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    Source
    Bibliotheksdienst. 36(2002) H.12, S.1732-1740
  8. Kousha, K.; Thelwall, M.: How is science cited on the Web? : a classification of google unique Web citations (2007) 0.02
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    Abstract
    Although the analysis of citations in the scholarly literature is now an established and relatively well understood part of information science, not enough is known about citations that can be found on the Web. In particular, are there new Web types, and if so, are these trivial or potentially useful for studying or evaluating research communication? We sought evidence based upon a sample of 1,577 Web citations of the URLs or titles of research articles in 64 open-access journals from biology, physics, chemistry, and computing. Only 25% represented intellectual impact, from references of Web documents (23%) and other informal scholarly sources (2%). Many of the Web/URL citations were created for general or subject-specific navigation (45%) or for self-publicity (22%). Additional analyses revealed significant disciplinary differences in the types of Google unique Web/URL citations as well as some characteristics of scientific open-access publishing on the Web. We conclude that the Web provides access to a new and different type of citation information, one that may therefore enable us to measure different aspects of research, and the research process in particular; but to obtain good information, the different types should be separated.
  9. Shibata, N.; Kajikawa, Y.; Takeda, Y.; Matsushima, K.: Comparative study on methods of detecting research fronts using different types of citation (2009) 0.02
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    Date
    22. 3.2009 17:52:50
  10. Juchem, K.; Schlögl, C.; Stock, W.G.: Dimensionen der Zeitschriftenszientometrie am Beispiel von "Buch und Bibliothek" (2006) 0.02
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.1, S.31-37
  11. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.02
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    Date
    3. 1.2007 17:22:03
  12. Nicolaisen, J.: Citation analysis (2007) 0.02
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    Date
    13. 7.2008 19:53:22
  13. Kretschmer, H.; Kretschmer, T.: Well-ordered collaboration structures of co-author pairs in journals (2006) 0.02
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    Source
    Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf
  14. Parthey, H.: Strukturwandel der bibliometrischen Profile wissenschaftlicher Institutionen im 20. Jahrhundert (2006) 0.02
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    Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf
  15. Ball, R.: Wissenschaftsindikatoren im Zeitalter digitaler Wissenschaft (2007) 0.02
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    Date
    23.12.2007 19:22:21
    Source
    B.I.T.online. 10(2007) H.2, S.xxx-xxx
  16. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.02
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    Date
    22. 6.2008 12:54:12
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.2, S.14-20
  17. 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
  18. 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) 0.01
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    Classification
    TVK (FH K)
    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."
    GHBS
    TVK (FH K)
  19. Glänzel, W.; Debackere, K.: Messen von Wissenschaftlicher Kommunikation und Forschungsleistung : Möglichkeiten und Beschränkungen bibliometrischer Methoden (2005) 0.01
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    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 58(2005) H.2, S.9-20
  20. Wettlauf der Wissenschaft (2004) 0.01
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    Source
    Online Mitteilungen. 2004, Nr.79, S.22-23 [=Mitteilungen VÖB 57(2004) H.2]

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