-
Trkulja, V.: Weltgrößte Abstracts- und Zitationsdatenbank aus dem wissenschaftlichen Web (2005)
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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.
- Date
- 23. 5.2005 11:38:28
- Source
- Password. 2005, H.5, S.37-40
-
Trivison, D.: Term co-occurrence in cited/citing journal articles as a measure of document similarity (1987)
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- Source
- Information processing and management. 23(1987), S.183-194
-
Sen, B.K.; Pandalai, T.A.; Karanjai, A.: Ranking of scientists - a new approach (1998)
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- Date
- 6. 9.2000 14:23:30
- Source
- Journal of documentation. 54(1998) no.5, S.622-628
-
Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003)
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- Date
- 29. 3.2003 19:52:23
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.5, S.400-412
-
Mayr, P.; Walter, A.-K.: Abdeckung und Aktualität des Suchdienstes Google Scholar (2006)
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- Abstract
- Der Beitrag widmet sich dem neuen Google-Suchdienst Google Scholar. Die Suchmaschine, die ausschließlich wissenschaftliche Dokumente durchsuchen soll, wird mit ihren wichtigsten Funktionen beschrieben und anschließend einem empirischen Test unterzogen. Die durchgeführte Studie basiert auf drei Zeitschriftenlisten: Zeitschriften von Thomson Scientific, Open AccessZeitschriften des Verzeichnisses DOAJ und in der Fachdatenbank SOLIS ausgewertete sozialwissenschaftliche Zeitschriften. Die Abdeckung dieser Zeitschriften durch Google Scholar wurde per Abfrage der Zeitschriftentitel überprüft. Die Studie zeigt Defizite in der Abdeckung und Aktualität des Google Scholarlndex. Weiterhin macht die Studie deutlich, wer die wichtigsten Datenlieferanten für den neuen Suchdienst sind und welche wissenschaftlichen Informationsquellen im Index repräsentiert sind. Die Pluspunkte von Google Scholar liegen in seiner Einfachheit, seiner Suchgeschwindigkeit und letztendlich seiner Kostenfreiheit. Die Recherche in Fachdatenbanken kann Google Scholar trotz sichtbarer Potenziale (z. B. Zitationsanalyse) aber heute aufgrund mangelnder fachlicher Abdeckung und Transparenz nicht ersetzen.
- Date
- 5. 7.2006 9:31:16
- Source
- Information - Wissenschaft und Praxis. 57(2006) H.3, S.133-140
-
Safder, I.; Ali, M.; Aljohani, N.R.; Nawaz, R.; Hassan, S.-U.: Neural machine translation for in-text citation classification (2023)
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- Abstract
- The quality of scientific publications can be measured by quantitative indices such as the h-index, Source Normalized Impact per Paper, or g-index. However, these measures lack to explain the function or reasons for citations and the context of citations from citing publication to cited publication. We argue that citation context may be considered while calculating the impact of research work. However, mining citation context from unstructured full-text publications is a challenging task. In this paper, we compiled a data set comprising 9,518 citations context. We developed a deep learning-based architecture for citation context classification. Unlike feature-based state-of-the-art models, our proposed focal-loss and class-weight-aware BiLSTM model with pretrained GloVe embedding vectors use citation context as input to outperform them in multiclass citation context classification tasks. Our model improves on the baseline state-of-the-art by achieving an F1 score of 0.80 with an accuracy of 0.81 for citation context classification. Moreover, we delve into the effects of using different word embeddings on the performance of the classification model and draw a comparison between fastText, GloVe, and spaCy pretrained word embeddings.
- Date
- 23. 9.2023 14:37:41
-
Wildner, B.: Web of Science - Scopus : Auf der Suche nach Zitierungen (2006)
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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
-
Umstätter, W.: Szientometrische Verfahren (2004)
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- Abstract
- Die Szientometrie beschäftigt sich mit der Messbarkeit wissenschaftlicher Leistungen anhand bibliothekarisch nachweisbarer Publikationsergebnisse. Bei genauer Betrachtung ist es ihr Ziel, die Wissenszunahme der Wissenschaft zu messen. Die wissenschaftliche Produktion in Form von Publikationen wächst seit über dreihundert Jahren konstant mit ca. 3,5% pro Jahr. Das entspricht einerVerdopplungsrate von 20 Jahren, die zuerst dem Bibliothekar Fremont Rider 1948 bei Büchern auffiel und die 1963 von Derek J. de Solla Price auch für das Wachstum von Zeitschriften und Bibliografien bestätigt wurde. Die Konstanz dieser Evolution, unabhängig aller sich ereignenden Katastrophen, ist nur zum Teil verstanden, macht aber den unaufhaltsamen Fortschritt der Wissenschaft deutlich. Alle 20 Jahre wird so viel publiziert wie in allen Jahrhunderten davor. Eine etwa gleiche Zunahme verzeichnen die Wissenschaftler, die damit etwa gleich produktiv bleiben. Von ihnen allen sind damit ca. 87% unsere heutigen Zeitgenossen. Aus diesem Wachstum heraus können wir abschätzen, dass in 100.000 laufenden Zeitschriften heute etwa 10 Mio. Publikationen jährlich erscheinen, die von 10 Mio. Wissenschaftlern verfasst werden. Dabei definieren sich nur die als Wissenschaftler, die durchschnittlich eine Publikation jährlich verfassen. Die gesamte Produktion an Buchtiteln, die bisher erschien, dürfte bei etwa 100 Mio. liegen. Davon sind etwa 20 Mio. als wissenschaftlich einzustufen. Wenn folglich 87% aller Wissenschaftler noch heute leben, so betrug die Gesamtzahl der Wissenschaftler in der Welt bisher 11,5 Mio., die in ihrem Leben durchschnittlich 1,5 Bücher pro Kopf verfassten, und etwa das 10-20fache an Zeitschriftenbeiträgen leisteten. Ein Teil dieser Bücher sind allerdings Neuauflagen und Übersetzungen. Nach Lotka, A. J. ist die Produktivität der Wissenschaftler eine schiefe Verteilung von der Form A/n**2, wobei A die Zahl der Autoren mit nur einer Publikation ist und n die Publikationen pro Autor. Während Price in seinen "Networks of Scientific Papers" Vergleichswerte von n**2,5 bis n**3 angab, zeigten Untersuchungen am Science Citation Index (SCI), die auf die gesamte naturwissenschaftliche Literatur hochgerechnet wurden, eher einen Wert von n**1,7. Auf die Tatsache, dass eine Verdopplungsrate der Wissenschaftler von 20 Jahren und eine solche der Menschheit von etwa 50 Jahren dazu führt, dass eines Tages alle Menschen Wissenschaftler werden, hat Price bereits 1963 hingewiesen. Dieser Zustand müsste bei 10 Mio. Wissenschaftlern und 6 Mrd. Menschen in etwa 300 Jahren eintreten, ein nur scheinbar absurder Gedanke, wenn man bedenkt, dass man sich vor 300 Jahren auch kaum vorstellen konnte, dass alle Menschen Lesen, Schreiben und Rechnen lernen können, und dass wir uns ungebildete Menschen immer weniger leisten können.
- Date
- 5. 4.2013 10:18:51
- Source
- Grundlagen der praktischen Information und Dokumentation. 5., völlig neu gefaßte Ausgabe. 2 Bde. Hrsg. von R. Kuhlen, Th. Seeger u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried. Bd.1: Handbuch zur Einführung in die Informationswissenschaft und -praxis
-
Nicolaisen, J.: ¬The J-shaped distribution of citedness (2002)
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- Date
- 6.11.2005 19:15:23
-
Vanclay, J.K.: On the robustness of the h-index (2007)
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- Date
- 1.11.2007 19:16:23
-
Glänzel, W.: Visual bibliometrics : eine visuelle Oberfläche zur Erweiterung der Nutzungsmöglichkeiten bibliographischer Datenbanken (1996)
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- Abstract
- In einer früheren Studie wurde bereits der 'informationelle Mehrwert' von bibliographischen Datenbanken durch bibliometrische Nutzung untersucht. Im folgenden soll nun eine visuelle Oberfläche vorgestellt werden, die mit Hilfe einer bibliometrischen 'Sekundärdatenbank' einerseits die Nutzungsmöglichkeiten der zugrundeliegenden bibliographischen Datenbanken vor allem in den Bereichen Wissenschaftsinformation, Forschungsevaluation und Wissenschaftspolitik erweitern soll, andererseits aber auch eine Rückkopplung zu den Aufgaben des traditionellen Retrievals erlaubt. Die visuelle Oberfläche 'Visual Bibliometrics' ist eine Erweiterung des CD-Edition des 'Science Citation Index' und des 'Social Science Citation Index'
- Source
- Herausforderungen an die Informationswirtschaft: Informationsverdichtung, Informationsbewertung und Datenvisualisierung. Proceedings des 5. Internationalen Symposiums für Informationswissenschaft (ISI'96), Humboldt-Universität zu Berlin, 17.-19. Oktober 1996. Hrsg.: J. Krause u.a
-
Stock, W.G.: Journal Citation Reports : Ein Impact Factor für Bibliotheken, Verlage und Autoren? (2001)
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- Abstract
- Gibt es objektive Kriterien für die Bestellung und Abbestellung wissenschaftlicher Zeitschriften? Wie lange sollte eine Bibliothek Periodikabestände benutzernah aufstellen? Kann ein Verlag -außer via Verkaufszahlen - auf Kriterien des Erfolgs seiner Zeitschriften zurückgreifen? Hat ein Autor eine Entscheidungsgrundlage, welcher Zeitschrift er seinen Artikel anbietet? Ist die Forschungsaktivität eines Instituts oder eines Wissenschaftlers über den Impact derjenigen Zeitschriftentitel zu evaluieren, die die Forschungsergebnisse drucken? Können die 'Journal Citation Reports (JCR) "des "Institute for Scientific Information" bei der Klärung solcher Fragen helfen? Sind die JCR ein nützliches oder gar ein notwendiges Hilfsmittel für Bibliotheken, für Verlage, für Wissenschaftsmanager und für wissenschaftliche Autoren? Die 'Journal Citation Reports" geben im Jahresrhythmus informetrische Kennzahlen wie die Zitationsrate, den Impact Factor, den Immediacy Index, die Halbwertszeit für eine Auswahl wissenschaftlicher Zeitschriften an. Zusätzlich berichten sie darüber, weiche Zeitschriften weiche anderen Zeitschriften zitieren bzw. von diesen zitiert werden, so dass "Soziogramme" wissenschaftlicher Zeitschriftenkommunikation entstehen. Wir wollen am Beispiel des aktuellen Jahrgangs ( 1999) die JCR detailliert beschreiben, die Auswahlkriterien der Zeitschriften beleuchten, die verwendeten informetrischen Kennwerte - vor allem den Impact Factor - kritisch hinterfragen, um danach die Einsatzgebiete bei Bibliotheken, in der Wissenschaftsevaluation, bei Verlagen und bei Autoren zu diskutieren. Das Fazit sei vorweggenommen: Die JCR sind ein nicht umgehbares Hilfsmittel für die fokussierten Anwendungsbereiche. Sie sind mitnichten frei von Problemen. Wir schließen daher mit einigen Verbesserungsvorschlägen
- Source
- Password. 2001, H.5, S.24-38
-
Johnson, B.; Oppenheim, C.: How socially connected are citers to those that they cite? (2007)
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- Date
- 23.12.2007 14:07:23
- Source
- Journal of documentation. 63(2007) no.5, S.609-637
-
Garfield, E.: Agony and ecstasy of the Internet : experiences of an information scientist qua publisher (1996)
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- Source
- Towards a worldwide library: a ten year forecast. Proceedings of the 19th International Essen Symposium, 23-26 Sept 1996. Ed.: A.H. Helal u. J.W. Weiss
-
Stock, W.G.: Wissenschaftsevaluation mittels Datenbanken : methodisch einwandfrei? (1995)
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- Abstract
- Als Maß für die Produktivität und den Einfluß von Forschern, wissenschaftlichen Einrichtungen und Fachbereichen dienen häufig anhand von Publikations- und Zitationsanalysen erstellte Ranglisten. Doch nach welchen Kriterien sind die in elektronischen Fachdatenbanken gespeicherten Informationen auszuwerten, um ein einigermaßen zutreffendes Abbild der Forschungsleistung zu erhalten?
-
wst: Cut-and-paste-Wissenschaft (2003)
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- Content
- "Mikhail Simkin und Vwani Roychowdhury von der University of Califomia, Los Angeles, haben eine in der wissenschaftlichen Gemeinschaft verbreitete Unsitte erstmals quantitativ erfasst. Die Wissenschaftler analysierten die Verbreitung von Druckfehlern in den Literaturlisten wissenschaftlicher Arbeiten (www.arxiv.org/abs/cond-mat/0212043). 78 Prozent aller zitierten Aufsätze - so schätzen die Forscher - haben die zitierenden Wissenschaftler demnach nicht gelesen, sondern nur per 'cut and paste' von einer Vorlage in ihre eigene Literaturliste übernommen. Das könne man beispielsweise abschätzen aus der Analyse fehlerhafter Seitenangaben in der Literaturliste eines 1973 veröffentlichten Aufsatzes über die Struktur zweidimensionaler Kristalle: Dieser Aufsatz ist rund 4300 mal zitiert worden. In 196 Fällen enthalten die Zitate jedoch Fehler in der Jahreszahl, dem Band der Zeitschrift oder der Seitenzahl, die als Indikatoren für cut and paste genommen werden können, denn man kann, obwohl es Milliarden Möglichkeiten gibt, nur 45 verschiedene Arten von Druckfehlern unterscheiden. In erster Näherung ergibt sich eine Obergrenze für die Zahl der `echten Leser' daher aus der Zahl der unterscheidbaren Druckfehler (45) geteilt durch die Gesamtzahl der Publikationen mit Druckfehler (196), das macht etwa 22 Prozent."
- Footnote
- Vgl. auch den Beitrag von H.F. Goenner zu A. Einstein und S.B. Preuss
-
MacCain, K.W.: Descriptor and citation retrieval in the medical behavioral sciences literature : retrieval overlaps and novelty distribution (1989)
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- Abstract
- Search results for nine topics in the medical behavioral sciences are reanalyzed to compare the overall perfor-mance of descriptor and citation search strategies in identifying relevant and novel documents. Overlap per- centages between an aggregate "descriptor-based" database (MEDLINE, EXERPTA MEDICA, PSYCINFO) and an aggregate "citation-based" database (SCISEARCH, SOCIAL SCISEARCH) ranged from 1% to 26%, with a median overlap of 8% relevant retrievals found using both search strategies. For seven topics in which both descriptor and citation strategies produced reasonably substantial retrievals, two patterns of search performance and novelty distribution were observed: (1) where descriptor and citation retrieval showed little overlap, novelty retrieval percentages differed by 17-23% between the two strategies; (2) topics with a relatively high percentage retrieval overlap shoed little difference (1-4%) in descriptor and citation novelty retrieval percentages. These results reflect the varying partial congruence of two literature networks and represent two different types of subject relevance
-
Moed, H.F.; Bruin, R.E.D.; Leeuwen, T.N.V.: New bibliometric tools for the assessment of national research performance : database description, overview of indicators and first applications (1995)
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- Date
- 23. 2.1996 18:31:20
-
Leydesdorff, L.; Bihui, J.: Mapping the Chinese Science Citation Database in terms of aggregated journal-journal citation relations (2005)
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- Date
- 8. 1.2006 18:53:23
-
Sidiropoulos, A.; Manolopoulos, Y.: ¬A new perspective to automatically rank scientific conferences using digital libraries (2005)
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- Date
- 26.12.2007 19:40:23
