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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) 0.18
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    Abstract
    Wissenschaftliche Karrieren und Publikationen benötigen Reputation und möglichst viel Beachtung. Literatur, die diese Aufmerksamkeit findet, wird - so die gängige Annahme - häufig zitiert. Ausgehend von dieser Überlegung wurden Verfahren der Zitationsmessung entwickelt, die Auskunft über die Relevanz oder (wie im- und explizit oft auch postuliert wird) gar die Qualität einer Publikation oder eines Wissenschaftlers geben sollen.
    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  2. Bannister, A.; Hulek, K.; Teschke, O.: ¬Das Zitationsverhalten in mathematischen Arbeiten : einige Anmerkungen (2017) 0.14
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    Abstract
    Das Ziel dieses Beitrages ist es, einige Daten zum Zitationsverhalten mathematischer Arbeiten vorzustellen und zu diskutieren.
    Field
    Mathematik
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2017, H.4, S.208-214
  3. Stock, W.G.: Themenanalytische informetrische Methoden (1990) 0.14
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    Source
    Psychologie und Philosophie der Grazer Schule: eine Dokumentation zu Werk und Wirkungsgeschichte. Hrsg.: M. Stock und W.G. Stock
  4. Göbel, S.: Aspekte der Mathematikliteratur : Untersuchungen in verschiedenen Datenbanken (1997) 0.13
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    Abstract
    Literaturdatenbanken wurden eigentlich mit zwei Zielen aufgebaut: einerseits Fachliteratur zu archivieren und zu dokumentieren und andererseits die Literaturhinweise den Wissenschaftlern für Recherchen zur Verfügung zu stellen. Aus diesen gespeicherten Datenmengen kann man baer auch allgemeine Erkenntnisse über die Literatur eines Fachgebietes und das Verhalten der Forscher gewinnen. Vor allem seit den sechziger Jahren, seit dem Aufbau des Science Citation Index - in dem man auch nach zitierten Arbeiten suchen kann - gibt es eine Fülle von informationswisenschaftlichen und wissenssoziologischen Untersuchungen mit Datenbanken
    Field
    Mathematik
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 1997, H.2, S.48-53
  5. Zitaten-Statistiken (2008) 0.12
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    Abstract
    Die International Mathematical Union (IMU) hat in Kooperation mit dem "International Council of Industrial and Applied Mathematics (ICIAM)" und dem "Institute of Mathematical Statistics (IMS)" einen Bericht mit dem Titel Citation Statistics herausgegeben, für den das "Joint Committee on Quantitative Assessment of Research", bestehend aus Robert Adler, John Ewing (Chair) und Peter Taylor verantwortlich zeichnet. Wir drucken im Folgenden zunächst das "Executive Summary" dieses Berichts ab und geben anschließend einen Überblick über einige der wichtigsten Argumente und Ergebnisse des Berichts. Die darin wiedergegebenen Tabellen und Grafiken sind dem Bericht entnommen, wir danken den Autoren für die Genehmigung des Abdrucks des Executive Summary und dieser Tabellen und Grafiken. Soweit wir den Bericht in Übersetzung zitieren, handelt es sich nicht um eine autorisierte Übersetzung.
    Content
    Der vollständige Bericht ist im Internet unter der folgenden Adresse zugänglich: http://www.mathunion.org/fileadmin/IMU/Report/CitationStatistics.pdf.
    Field
    Mathematik
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2008, H.3, S.198-203
  6. Positionspapier der DMV zur Verwendung bibliometrischer Daten (2020) 0.11
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    Abstract
    Bibliometrische Daten werden heute zunehmend in der Evaluation von Forschungsergebnissen benutzt. Diese Anwendungen reichen von der (indirekten) Verwendung bei der Peer-Evaluation von Drittmittelanträgen über die Beurteilung von Bewerbungen in Berufungskommissionen oder Anträgen für Forschungszulagen bis hin zur systematischen Erhebung von forschungsorientierten Kennzahlen von Institutionen. Mit diesem Dokument will die DMV ihren Mitgliedern eine Diskussionsgrundlage zur Verwendung bibliometrischer Daten im Zusammenhang mit der Evaluation von Personen und Institutionen im Fachgebiet Mathematik zur Verfügung stellen, insbesondere auch im Vergleich zu anderen Fächern. Am Ende des Texts befindet sich ein Glossar, in dem die wichtigsten Begriffe kurz erläutert werden.
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2019, H.3-4, S.112-117
  7. Vier bibliometrische Kennzahlen auf Grundlage von zbMATH-Daten (2017) 0.09
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    Abstract
    Die Karte stellt für die deutschen Universitäten und einige zu Vergleichszwecken ausgewählte außeruniversitäre Forschungseinrichtungen vier bibliometrische Kennzahlen auf Grundlage von zbMATH-Daten dar: Die Zahl der 2010 publizierten Arbeiten (links oben) und ihre gesamten zugehörigen Zitationen (links unten) sowie die Zahl der 2014 publizierten Arbeiten (rechts oben) und ihre gesamten zugehörigen Zitationen (rechts unten). Die Zusammenfassung auf Universitätsebene begründet sich damit, dass mathematische Arbeiten an einer Universität ggf. von Mitgliedern verschiedener Einrichtungen und/oder Fakultäten geschrieben werden. Die unterschiedliche Struktur der einzelnen Universitäten macht einen Vergleich von Einzeleinrichtungen sehr aufwändig. Zu beachten ist auch, dass die inhärente Fehlerquote sowohl bei der Zuordnung von Referenzstrings zu Arbeiten als auch von Arbeiten zu Autoren und Institutionen sich bei den Gesamtzahlen zu einer Abweichung von bis zu 20 % kumulieren kann. Die Jahre 2010 und 2014 wurden gewählt, da zum einen nach vier Jahren ein signifikanter Anteil der Zitationen relativ zum Publikationswachstum verfügbar ist (vgl. Abb. 4 auf S. 211), zum anderen für 2014 zumindest die Publikationsdaten einschließlich gedruckter Konferenzbände weitgehend vollständig erfasst sind (s. Anmerkung 2 auf Seite S. 213).
    Field
    Mathematik
    Footnote
    Die Karte wurde nachträglich per Mail vom 19.04.2018 korrigiert und in dem Mitt DMV 2018, H.1, S.4 abgedruckt.
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2017, H.4, S.204-205
  8. Sieben Fragen zu Bibliometrie : Antworten von Ilka Agricola, Friedrich Götze, Martin Grötschel, Klaus Hulek, Peter Michor, Gabriele Nebe, Hans Jürgen Prömel, Jens Vygen, Gerhard Woeginger (2017) 0.09
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    Abstract
    Wissenschaftliche Institutionen und einzelne WissenschaftlerInnen werden zunehmend nach bibliometrischen Daten beurteilt. Jeder Mathematiker hat Vorbehalte gegenüber dieser Praxis. Über diese beiden Dinge waren sich alle TeilnemerInnen und Wortmeldungen des Panels zur Bibliometrie auf der DMV-Jahrestagung in Salzburg einig. Für einzelne WissenschaftlerInnen hat die IMU bereits 2014 (tinyurl.com/ycd7wvh7) die Vorbehalte gegenüber rein bibliometrischen Beurteilungen klar formuliert. Universitätsleitungen, Politik und andere bis hin zur öffentlichen Diskussion verlassen sich aber teilweise aif diese Art der Bewertung. Konkret kann das so aussehen: Zur Beurteilung von Departements zählt eine Universität Publikationen und gewichtet sie nach ihrer Güte. Die Güte entnimmt man einer Einteilung von Fachzeitschriften etwa in A, B und C. Liegt eine solche Einteilung nicht vor, sind alle Journale des Faches mit 1 gewichtet, d.h. 'junk'. Die Diskrepanz zwischen unserer Einschätzung und der allgemeinen Wirkmächtigkeit von Biblimetrie wirft für die DMV als Fachgegsellschaft die Frage auf, wie sie Einfluss nehmen kann und soll. Die 'Mitteilungen' versuchen an dieser Stelle zunächst, ein möglichst breites Meinungsbild zu sammeln. Wir haben sieben Fragen an eine Reihe von Kolleginnen und Kollegen gestellt, die am Panel teilgenmmen haben oder aus anderen Gründen mit dem Thema besfasst sind.
    Field
    Mathematik
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2017, H.4, S.215-224
  9. Dorsch, I.; Haustein, S.: Bibliometrie (2023) 0.08
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    Abstract
    Die Bibliometrie ist eine sozialwissenschaftliche Disziplin, die historisch gesehen auf drei Entwicklungen fußt: die positivistisch-funktionalistische Philosophie, soziale Fakten objektiv untersuchen zu können; die Entwicklung von Zitationsindizes und -analyse, um Forschungsleistung zu messen; und die Entdeckung mathematischer Gesetzmäßigkeiten, die die Anwendung von Indikatoren in der Wissenschaftsevaluation ermöglichten.
    Source
    Grundlagen der Informationswissenschaft. Hrsg.: Rainer Kuhlen, Dirk Lewandowski, Wolfgang Semar und Christa Womser-Hacker. 7., völlig neu gefasste Ausg
  10. Jovanovic, M.: ¬Eine kleine Frühgeschichte der Bibliometrie (2012) 0.06
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    Abstract
    In der Bibliometrie werden meist zwei Größen vermessen: die Anzahl von Publikationen und Zitationen. Publiziert und zitiert haben Menschen bereits sehr früh in der Geschichte. Schon in der Antike sind bei überlieferten Werken Zitationen zu finden. Der englische Begriff "Bibliometrics" selbst wurde aber erst 1969 definiert. In dem folgenden Artikel wird eine kleine Frühgeschichte der Bibliometrie, einer Unterdisziplin der Informationswissenschaft, bis zu diesem wichtigen Jahr anhand von beispielhaften Studien und Arbeiten dargestellt. Es wird auf die Anfänge von Publikationen und Zitationen und den fachlichen Rahmen der Bibliometrie eingegangen. Der Ursprung der Bibliometriegeschichte selbst wird von unterschiedlichen Autoren unterschiedlich früh angesetzt. Die verschiedenen Ansätze werden vorgestellt und diskutiert. Der Artikel schließt mit einer Beschreibung der wachsenden Bedeutung dieses Fachs im heutigen Informationszeitalter.
    Date
    22. 7.2012 19:23:32
    Source
    Information - Wissenschaft und Praxis. 63(2012) H.2, S.71-80
  11. Hooydonk, G. Van: Journal production and journal impact factor (1996) 0.05
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    Field
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  12. Braun, T.; Glanzel, W.; Grupp, H.: ¬The scientometric weight of 50 nations in 27 scientific areas, 1989-1993 : Pt.1: All fields combined, mathematics, engineering, chemistry and physics (1995) 0.04
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    Field
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  13. Lercher, A.: Correlation over time for citations to mathematics articles (2013) 0.04
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    Date
    22. 3.2013 19:23:35
    Field
    Mathematik
  14. Dees, W.: Aktuelle Themen der Szientometrie : Bericht über die 12th International Conference on Scientometrics and Informetrics vom 14. bis 17. Juli 2009 (2009) 0.04
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    Abstract
    Vom 14. bis 17. Juli fand in Rio de Janeiro die 12th International Conference on Scientometrics and Informetrics statt. Das von den Organisatoren formulierte Ziel der Tagung war es, ein internationals Forum für Wissenschaftler, Wissenschaftsmanager und im Informationsbereich Tätige zu bieten, um den gegenwärtigen Stand und die Fortschritte im Feld szientometrischer Theorien und Anwendungen zu diskutieren. Nachdem die letzten beiden Konferenzen in Europa stattgefunden hatten (Stockholm und Madrid), war mit der Wahl des Tagungsortes zudem der Anspruch verknüpft, einen Beitrag zur weiteren Verbreitung der Szientometrie in lateinamerikanischen Ländern zu leisten. Die Konferenz verzeichnete die in ihrer bisherigen Geschichte höchste Zahl von eingereichten Beiträgen (254), von denen 66 Prozent angenommen wurden. Das endgültige Programm umfasste damit zwei Keynotes, über 90 Vorträge in 21 Sessions sowie 64 Poster. Vor dem Beginn dieses Hauptprogramms der Konferenz fanden darüber hinaus ein Doctoral Forum und drei Workshops zu den Themen "Tracking and evaluating interdisciplinary research: metric and maps", "Visualizing and Analyzing Scientific Literature with CiteSpace" und "Using Maps of Science to Teach Science" statt.
    Source
    Information - Wissenschaft und Praxis. 60(2009) H.8, S.455-457
  15. Frandsen, T.F.: ¬The integration of open access journals in the scholarly communication system : three science fields (2009) 0.04
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  16. Egghe, L.; Guns, R.; Rousseau, R.: Thoughts on uncitedness : Nobel laureates and Fields medalists as case studies (2011) 0.04
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  17. Ball, R.: Wissenschaftsindikatoren im Zeitalter digitaler Wissenschaft (2007) 0.03
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    Abstract
    Die Bereitstellung und Nutzung digitaler Bibliotheken entwickelt sich allmählich zum Standard der Literatur und Informationsversorgung in Wissenschaft und Forschung. Ganzen Disziplinen genügt oftmals die verfügbare digitale Information, Printmedien werden besonders im STM-Segment zu einem Nischenprodukt. Digitale Texte können beliebig eingebaut, kopiert und nachgenutzt werden, die Verlinkung zwischen Metadaten und Volltexten bringt weitere Nutzungsvorteile. Dabei sind die Angebote von Digital Libraries Bestandteil eines ganzheitlichen digitalen Ansatzes, wonach die elektronische Informations- und Literaturversorgung integraler Bestandteil von E-Science (Enhanced Science) oder Cyberinfrastructure darstellt. Hierbei verschmelzen dann Produktion, Diskussion, Distribution und Rezeption der wissenschaftlichen Inhalte auf einer einzigen digitalen Plattform. Damit sind dann nicht nur die Literatur- und Informationsversorgung (Digital Libraries), sondern auch die Wissenschaft selbst digital geworden. Diese dramatische Veränderung in der Wissenschaftskommunikation hat direkte Auswirkungen auf die Messung der Wissenschaftskommunikation, also auf die Evaluation von wissenschaftlichem Output. Bisherige Systeme der Wissenschaftsvermessung basieren hauptsächlich auf bibliometrischen Analysen, d.h. der Quantifizierung des Outputs und dessen Rezeption (Zitierhäufigkeit). Basis dafür sind insbesondere im STM-Bereich die international anerkannten Datenbanken des ISI (Thomson Scientific) insbesondere der Science Citation Index, SCI) oder vielleicht zukünftig das Konkurrenzprodukt SCOPUS des Wissenschaftskonzerns Reed Elsevier. Die Digitalisierung der Wissenschaft in ihrem kompletten Lebenszyklus, die zunehmende Nutzung und Akzeptanz von Dokumentenrepositorien, Institutsservern und anderen elektronischen Publikationsformen im Rahmen von E-Science erfordern und ermöglichen zugleich den Nachweis von Output und Rezeption durch neue bibliometrische Formen, etwa der Webometrie (Webmetrics). Im vorliegenden Paper haben wir hierzu Analysen durchgeführt und stellen eine Abschätzung vor, wie sich der Anteil von webometrisch erfassbarer und zugänglicher wissenschaftlicher Literatur im Vergleich zu Literatur, die mit den Standardsystemen nachgewiesen werden kann im Laufe der letzten Jahre verändert hat. Dabei haben wir unterschiedliche Disziplinen und Länder berücksichtigt. Zudem wird ein Vergleich der webometrischen Nachweisqualität so unterschiedlicher Systeme wie SCI, SCOPUS und Google Scholar vorgestellt.
    Date
    23.12.2007 19:22:21
  18. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.03
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    Abstract
    Die Webometrie ist ein Teilbereich der Informationswissenschaft der zur Zeit auf die Analyse von Linkstrukturen konzentriert ist. Er ist stark von der Zitationsanalyse geprägt, wie der empirische Schwerpunkt auf der Wissenschaftsanalyse zeigt. In diesem Beitrag diskutieren wir die Nutzung linkbasierter Maße in einem breiten informetrischen Kontext und bewerten verschiedene Verfahren, auch im Hinblick auf ihr generelles Potentialfür die Sozialwissenschaften. Dabei wird auch ein allgemeiner Rahmenfür Linkanalysen mit den erforderlichen Arbeitsschritten vorgestellt. Abschließend werden vielversprechende zukünftige Anwendungsfelder der Webometrie benannt, unter besonderer Berücksichtigung der Analyse von Blogs.
    Date
    4.12.2006 12:12:22
    Source
    Information - Wissenschaft und Praxis. 57(2006) H.8, S.401-406
  19. Norris, M.; Oppenheim, C.; Rowland, F.: ¬The citation advantage of open-access articles (2008) 0.03
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  20. Schlögl, C.: Internationale Sichtbarkeit der europäischen und insbesondere der deutschsprachigen Informationswissenschaft (2013) 0.03
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    Abstract
    In diesem Beitrag wird eine Publikationsanalyse von Beiträgen in von im Web of Science (WoS) indexierten bibliotheks- und informationswissenschaftlichen Zeitschriften vorgestellt. Die Ergebnisse dieser Analyse bestätigen die anglo-amerikanische Dominanz in der facheinschlägigen Literatur, die bei den primär informationswissenschaftlichen Zeitschriften sogar noch deutlicher ausfällt. Die skandinavischen Länder und der Bereich der Szientometrie stellen gewisse Ausnahmen dar. Die internationale Sichtbarkeit Deutschlands und Österreichs ist hingegen "ausbaufähig".
    Date
    22. 3.2013 14:04:09
    Source
    Information - Wissenschaft und Praxis. 64(2013) H.1, S.1-8

Years

Languages

  • e 144
  • d 115
  • m 1
  • ro 1
  • More… Less…

Types

  • a 240
  • el 14
  • m 10
  • s 4
  • r 3
  • x 2
  • More… Less…