Search (82 results, page 1 of 5)

  • × theme_ss:"Citation indexing"
  1. Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004) 0.02 
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    Abstract
    Webometrics, the quantitative study of Web-related phenomena, emerged from the realization that methods originally designed for bibliometric analysis of scientific journal article citation patterns could be applied to the Web, with commercial search engines providing the raw data. Almind and Ingwersen (1997) defined the field and gave it its name. Other pioneers included Rodriguez Gairin (1997) and Aguillo (1998). Larson (1996) undertook exploratory link structure analysis, as did Rousseau (1997). Webometrics encompasses research from fields beyond information science such as communication studies, statistical physics, and computer science. In this review we concentrate on link analysis, but also cover other aspects of webometrics, including Web log fle analysis. One theme that runs through this chapter is the messiness of Web data and the need for data cleansing heuristics. The uncontrolled Web creates numerous problems in the interpretation of results, for instance, from the automatic creation or replication of links. The loose connection between top-level domain specifications (e.g., com, edu, and org) and their actual content is also a frustrating problem. For example, many .com sites contain noncommercial content, although com is ostensibly the main commercial top-level domain. Indeed, a skeptical researcher could claim that obstacles of this kind are so great that all Web analyses lack value. As will be seen, one response to this view, a view shared by critics of evaluative bibliometrics, is to demonstrate that Web data correlate significantly with some non-Web data in order to prove that the Web data are not wholly random. A practical response has been to develop increasingly sophisticated data cleansing techniques and multiple data analysis methods.
  2. Wildner, B.: Web of Science - Scopus : Auf der Suche nach Zitierungen (2006) 0.02 
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    Abstract
    Evaluation ist an der Medizinischen Universität Wien ein wichtiges Thema. So werden die Ressourcen innerhalb der Universität entsprechend der in den Leistungskriterien definierten Bewertungsmethode verteilt, deren Grundlage ein für jeden Fachbereich eigens berechneter normierter Impact Factor darstellt. Wissenschaftliche Leistung kann aber auch auf andere Art gemessen werden. Innerhalb einer Universitätsklinik oder Forschungsgruppe werden die Publikationen der wissenschaftlichen Mitarbeiter mittels Zitierungsanalyse bewertet. Für eine Bewerbung auf bestimmte Stellen müssen die einzelnen Wissenschaftler jeweils aktuelle Zitierungsanalysen vorlegen. Seit 2005 stellt die Universitätsbibliothek der Medizinischen Universität Wien am Campus die Datenbank Scopus zur Verfügung. Dabei handelt es sich nicht nur um eine weitere naturwissenschaftliche Literaturdatenbank, sondern um ein Konkurrenzprodukt zum Web of Science, dessen Schwerpunkt in der Suche der Referenzfelder liegt und so die Beantwortung der Fragestellung, wie oft eine wissenschaftliche Publikation zitiert wird, ermöglicht. Im seltenen Idealfall liegt eine vollständige Publikationsliste vor, von der ausgehend man eine Zitierungsanalyse starten kann. Meist aber besteht der Wunsch, nur anhand eines Autorennamens und dem Wissen, in welchem Fachgebiet jemand wissenschaftlich tätig ist, rasch die Suche nach Zitierungen zu beginnen. Im Web of Science führt der Weg über eine Cited Reference Search zu einem Cited Reference Index, aus dem man die Zitierzahlen (Times Cited) zu den einzelnen Publikationen eines Autors entnehmen kann. Als Cited Author scheinen neben dem Erstautor auch alle Mitautoren auf, vorausgesetzt die Zitierung bezieht sich auf eine Publikation, die als Source Item im Web of Science in dem Zeitraum erscheint, der für die Institution subskribiert wurde. Abschließend müssen die einzelnen Zitierzahlen eigenhändig addiert werden und ergeben so die Gesamtzahl der Zitierungen für einen bestimmten Autor. In Scopus wird nach einer Autorensuche ein Document Citation Overview geboten, der die Publikationen nach Erscheinungsjahr gereiht auflistet und gleichzeitig in einer Übersichtstabelle die Zitierzahlen pro Publikation und Jahr sowie die jeweiligen Gesamtzahlen angibt.
    Date
    4. 6.2006 17:22:15
    Object
    Web of Science
  3. Vaughan, L.; Shaw , D.: Bibliographic and Web citations : what Is the difference? (2003) 0.02 
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    Abstract
    Vaughn, and Shaw look at the relationship between traditional citation and Web citation (not hyperlinks but rather textual mentions of published papers). Using English language research journals in ISI's 2000 Journal Citation Report - Information and Library Science category - 1209 full length papers published in 1997 in 46 journals were identified. Each was searched in Social Science Citation Index and on the Web using Google phrase search by entering the title in quotation marks, and followed for distinction where necessary with sub-titles, author's names, and journal title words. After removing obvious false drops, the number of web sites was recorded for comparison with the SSCI counts. A second sample from 1992 was also collected for examination. There were a total of 16,371 web citations to the selected papers. The top and bottom ranked four journals were then examined and every third citation to every third paper was selected and classified as to source type, domain, and country of origin. Web counts are much higher than ISI citation counts. Of the 46 journals from 1997, 26 demonstrated a significant correlation between Web and traditional citation counts, and 11 of the 15 in the 1992 sample also showed significant correlation. Journal impact factor in 1998 and 1999 correlated significantly with average Web citations per journal in the 1997 data, but at a low level. Thirty percent of web citations come from other papers posted on the web, and 30percent from listings of web based bibliographic services, while twelve percent come from class reading lists. High web citation journals often have web accessible tables of content.
  4. New Web Citation Index (2004) 0.02 
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    Abstract
    Philadelphia, PA USA-London UK-Princeton, NJ February, 25, 2004 - Today, Thomson ISI and NEC Laboratories America (NEC) announced their collaboration to create a comprehensive, multidisciplinary citation index for Web-based scholarly resources. The new Web Citation Index(tm) will combine a suite of technologies developed by NEC, including "autonomous citation indexing" tools from NEC's CiteSeer environment, with the capabilities underlying ISI Web of KnowledgeSM. Thomson ISI editors will carefully monitor the quality of this new resource to ensure all indexed material meets the Thomson ISI high-quality standards. During 2004, Thomson ISI and NEC will operate a pilot of the new resource to receive feedback from the scientific and scholarly community. Full access to the index is projected for early 2005. When fully operational, the new resource will be a unique content collection within ISI Web of Knowledge. It will complement the Thomson ISI Web of Science(r), and provide researchers with a new gateway to discovery 4/3 using citation relationships among Web-based documents, such as pre-prints, proceedings, and "open access" research publications.
    Object
    Web of Science
  5. Whitley, K.M.: Analysis of SciFinder Scholar and Web of Science citation searches (2002) 0.02 
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    Abstract
    Chemical Abstracts Service recently unveiled citation searching in Chemical Abstracts. With Chemical Abstracts and Science Citation Index both now available for citation searching, this study compares the duplication and uniqueness of citing references for works of chemistry researchers for the years 1999-2001. The two indexes cover very similar source material, so one would expect the citation results to be very similar. This analysis of SciFinder Scholar and Web of Science shows some important differences as the databases are currently offered. Authors and institutions using citation counts as measures of scientific productivity should take note.
    Object
    Web of science
  6. Prime-Claverie, C.; Beigbeder, M.; Lafouge, T.: Transposition of the cocitation method with a view to classifying Web pages (2004) 0.01 
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    Abstract
    The Web is a huge source of information, and one of the main problems facing users is finding documents which correspond to their requirements. Apart from the problem of thematic relevance, the documents retrieved by search engines do not always meet the users' expectations. The document may be too general, or conversely too specialized, or of a different type from what the user is looking for, and so forth. We think that adding metadata to pages can considerably improve the process of searching for information an the Web. This article presents a possible typology for Web sites and pages, as weIl as a method for propagating metadata values, based an the study of the Web graph and more specifically the method of cocitation in this graph.
  7. Kousha, K.; Thelwall, M.: Google Scholar citations and Google Web/URL citations : a multi-discipline exploratory analysis (2007) 0.01 
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    Abstract
    We use a new data gathering method, "Web/URL citation," Web/URL and Google Scholar to compare traditional and Web-based citation patterns across multiple disciplines (biology, chemistry, physics, computing, sociology, economics, psychology, and education) based upon a sample of 1,650 articles from 108 open access (OA) journals published in 2001. A Web/URL citation of an online journal article is a Web mention of its title, URL, or both. For each discipline, except psychology, we found significant correlations between Thomson Scientific (formerly Thomson ISI, here: ISI) citations and both Google Scholar and Google Web/URL citations. Google Scholar citations correlated more highly with ISI citations than did Google Web/URL citations, indicating that the Web/URL method measures a broader type of citation phenomenon. Google Scholar citations were more numerous than ISI citations in computer science and the four social science disciplines, suggesting that Google Scholar is more comprehensive for social sciences and perhaps also when conference articles are valued and published online. We also found large disciplinary differences in the percentage overlap between ISI and Google Scholar citation sources. Finally, although we found many significant trends, there were also numerous exceptions, suggesting that replacing traditional citation sources with the Web or Google Scholar for research impact calculations would be problematic.
  8. Trkulja, V.: Weltgrößte Abstracts- und Zitationsdatenbank aus dem wissenschaftlichen Web (2005) 0.01 
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    Abstract
    Scopus ist ein Such- und Navigationssystem für interdisziplinäre, wissenschaftliche Literatur. Die zur Zeit weltgrößte Abstract- & Zitationsdatenbank deckt 14.000 WTM-Titel von 4.000 Verlagen ab und liefert Ergebnisse aus dem wissenschaftlichen Web, inklusive Patentinformationen. Darüber hinaus unterstützt Scopus ein Volltext-Linking sowie eine erweiterte Bibliotheksintegration mit personalisierten Konfigurationsmöglichkeiten. Das neue Angebot ist überzeugend.
    Content
    Datenbestand Scopus beinhaltet - 12.650 akademische Zeitschriften (davon 1.100 Medline-Zeitschriften und 465 Open Access-Zeitschriften), - 750 Conference Proceedings, - 600 Trade Publications, - 27 Millionen Kurzfassungen der letzten zwanzig Jahre, - 230 Millionen Referenzen zu allen Kurzfassungen ab 1996 und - 180 Millionen wissenschaftliche Webseiten via Scirus. Der Inhalt wird täglich aktualisiert. Auf die Fachbereiche teilen sich die Quellen wie folgt auf: - 4.500 Chemistry, Physics, Mathematics and Engineering, - 5.900 Life and Health Sciences (100 Medline-Abdeckung), - 2.700 Social Sciences, Psychology and Economics und - 2.500 Biological, Agricultural and Environmental Sciences.
  9. Zhao, D.; Strotmann, A.: Can citation analysis of Web publications better detect research fronts? (2007) 0.01 
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    Abstract
    We present evidence that in some research fields, research published in journals and reported on the Web may collectively represent different evolutionary stages of the field, with journals lagging a few years behind the Web on average, and that a "two-tier" scholarly communication system may therefore be evolving. We conclude that in such fields, (a) for detecting current research fronts, author co-citation analyses (ACA) using articles published on the Web as a data source can outperform traditional ACAs using articles published in journals as data, and that (b) as a result, it is important to use multiple data sources in citation analysis studies of scholarly communication for a complete picture of communication patterns. Our evidence stems from comparing the respective intellectual structures of the XML research field, a subfield of computer science, as revealed from three sets of ACA covering two time periods: (a) from the field's beginnings in 1996 to 2001, and (b) from 2001 to 2006. For the first time period, we analyze research articles both from journals as indexed by the Science Citation Index (SCI) and from the Web as indexed by CiteSeer. We follow up by an ACA of SCI data for the second time period. We find that most trends in the evolution of this field from the first to the second time period that we find when comparing ACA results from the SCI between the two time periods already were apparent in the ACA results from CiteSeer during the first time period.
  10. Daquino, M.; Peroni, S.; Shotton, D.; Colavizza, G.; Ghavimi, B.; Lauscher, A.; Mayr, P.; Romanello, M.; Zumstein, P.: ¬The OpenCitations Data Model (2020) 0.01 
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    Abstract
    A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations. This diversity, and the reuse of the same ontology terms with different nuances, generates inconsistencies in data. Adoption of a single data model would facilitate data integration tasks regardless of the data supplier or context application. In this paper we present the OpenCitations Data Model (OCDM), a generic data model for describing bibliographic entities and citations, developed using Semantic Web technologies. We also evaluate the effective reusability of OCDM according to ontology evaluation practices, mention existing users of OCDM, and discuss the use and impact of OCDM in the wider open science community.
    Content
    Erschienen in: The Semantic Web - ISWC 2020, 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part II. Vgl.: DOI: 10.1007/978-3-030-62466-8_28.
  11. Gorraiz, J.; Purnell, P.J.; Glänzel, W.: Opportunities for and limitations of the Book Citation Index (2013) 0.01 
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    Abstract
    This article offers important background information about a new product, the Book Citation Index (BKCI), launched in 2011 by Thomson Reuters. Information is illustrated by some new facts concerning The BKCI's use in bibliometrics, coverage analysis, and a series of idiosyncrasies worthy of further discussion. The BKCI was launched primarily to assist researchers identify useful and relevant research that was previously invisible to them, owing to the lack of significant book content in citation indexes such as the Web of Science. So far, the content of 33,000 books has been added to the desktops of the global research community, the majority in the arts, humanities, and social sciences fields. Initial analyses of the data from The BKCI have indicated that The BKCI, in its current version, should not be used for bibliometric or evaluative purposes. The most significant limitations to this potential application are the high share of publications without address information, the inflation of publication counts, the lack of cumulative citation counts from different hierarchical levels, and inconsistency in citation counts between the cited reference search and the book citation index. However, The BKCI is a first step toward creating a reliable and necessary citation data source for monographs - a very challenging issue, because, unlike journals and conference proceedings, books have specific requirements, and several problems emerge not only in the context of subject classification, but also in their role as cited publications and in citing publications.
  12. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.01 
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    Abstract
    Conclusion There is a reason why Google Scholar and Web of Science/Scopus are kings of the hills in their various arenas. They have strong brand recogniton, a head start in development and a mass of eyeballs and users that leads to an almost virtious cycle of improvement. Competing against such well established competitors is not easy even when one has deep pockets (Microsoft) or a killer idea (scite). It will be interesting to see how the landscape will look like in 2030. Stay tuned for part II where I review each particular index.
    Date
    17.11.2020 12:22:59
    Object
    Web of Science
  13. H-Index auch im Web of Science (2008) 0.01 
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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
    Web of Science
  14. Klein, A.: Von der Schneeflocke zur Lawine : Möglichkeiten der Nutzung freier Zitationsdaten in Bibliotheken (2017) 0.01 
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    Abstract
    Zitationen spielen eine wichtige Rolle im wissenschaftlichen Diskurs, in der Recherchepraxis sowie im Bereich der Bibliometrie. In jüngster Zeit gibt es zunehmend Initiativen, die Zitationen als Open Data zur freien Nachnutzung verfügbar machen. Der Beitrag beschreibt den Stand der Entwicklung dieser Initiativen und zeigt, dass in nächster Zeit eine kritische Masse von Daten entstehen könnte, aus denen sich gerade für Bibliotheken neue Perspektiven ergeben. Als konkrete Möglichkeit zur Partizipation für Bibliotheken wird das DFG-Projekt Linked Open Citation Database (LOC-DB) vorgestellt.
    Object
    Linked Open Citation Database (LOC-DB)
  15. Magri, M.; Solari, A.: ¬The SCI Journal Citation Reports : a potential tool for studying journals? (1996) 0.01 
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    Abstract
    Analyses 6 indicators of the Science Citation Index Journals Citation Reports over a 19 year period: number of total citations, number of citations to the previous 2 years, number of source items, impact factor, immediacy index and cited half life. Proposes a box plot method to aggregate the values of each indicator so as to obtain at a glance portrayals of the JCR population from 1974 to 1993. This 'rereading' of the JCR, which presents the JCR product differently, makes it possible to shed new light on the large sub population of journals not at the top of the rankings
    Issue
    1. Description of the JCR journal population based on the number of citations received, number of source items, impact factor, immediacy index and cited half life
  16. Huber, C.: Web of science (1999) 0.01 
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    Web of science
  17. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.01 
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    Abstract
    This article challenges recent research (Evans, 2008) reporting that the concentration of cited scientific literature increases with the online availability of articles and journals. Using Thomson Reuters' Web of Science, the present article analyses changes in the concentration of citations received (2- and 5-year citation windows) by papers published between 1900 and 2005. Three measures of concentration are used: the percentage of papers that received at least one citation (cited papers); the percentage of papers needed to account for 20%, 50%, and 80% of the citations; and the Herfindahl-Hirschman index (HHI). These measures are used for four broad disciplines: natural sciences and engineering, medical fields, social sciences, and the humanities. All these measures converge and show that, contrary to what was reported by Evans, the dispersion of citations is actually increasing.
    Date
    22. 3.2009 19:22:35
  18. Rosenberg, V.: ¬An assessment of ISI's new Web of Science : ISI's services brings citiation indexing to new and advanced researchers (1998) 0.01 
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    Abstract
    Comments on the affinity of Web technology and citation indexes and reviews the ISI service, Web of Science. Although still requiring refinement, it multiplies the effectiveness of an already effective search tool
    Object
    Web of Science
  19. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.01 
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    Abstract
    Um sich einer Antwort auf die Frage anzunähern, welche Bedeutung der Nachlass eines Wissenschaftlers wie jener Paul F. Lazarsfelds (mit zahlreichen noch unveröffentlichten Schriften) für die aktuelle Forschung haben könne, kann untersucht werden, wie häufig dieser Wissenschaftler zitiert wird. Wenn ein Autor zitiert wird, wird er auch genutzt. Wird er über einen langen Zeitraum oft genutzt, ist vermutlich auch die Auseinandersetzung mit seinem Nachlass von Nutzen. Außerdem kann aufgrund der Zitierungen festgestellt werden, was aus dem Lebenswerk eines Wissenschaftlers für die aktuelle Forschung relevant erscheint. Daraus können die vordringlichen Fragestellungen in der Bearbeitung des Nachlasses abgeleitet werden. Die Aufgabe für die folgende Untersuchung lautete daher: Wie oft wird Paul F. Lazarsfeld zitiert? Dabei interessierte auch: Wer zitiert wo? Die Untersuchung wurde mit Hilfe der Meta-Datenbank "ISI Web of Knowledge" durchgeführt. In dieser wurde im "Web of Science" mit dem Werkzeug "Cited Reference Search" nach dem zitierten Autor (Cited Author) "Lazarsfeld P*" gesucht. Diese Suche ergab 1535 Referenzen (References). Werden alle Referenzen gewählt, führt dies zu 4839 Ergebnissen (Results). Dabei wurden die Datenbanken SCI-Expanded, SSCI und A&HCI verwendet. Bei dieser Suche wurden die Publikationsjahre 1941-2008 analysiert. Vor 1956 wurden allerdings nur sehr wenige Zitate gefunden: 1946 fünf, ansonsten maximal drei, 1942-1944 und 1949 überhaupt keines. Zudem ist das Jahr 2008 noch lange nicht zu Ende. (Es gab jedoch schon vor Ende März 24 Zitate!)
    Date
    22. 6.2008 12:54:12
  20. Meng, L.: ¬The creation of [the] Chinese Science Citation Database : status quo and future development (1997) 0.00 
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    Abstract
    The Chinese Science Citation Database (CSCD) is a significant document database on mainland China, which has been built up by the Documentation and Information Centre of the Chinese Academy of Sciences. Briefly introduces the background to CSCD, and discusses in detail its development and application, source journals and citation data, data processing methods, subject scope, compilation regulations, stylistic rules and layout, and usage directions for both the printed and CD-ROM editions of CSCD which have been published from the data

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