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  1. Scientometrics pioneer Eugene Garfield dies : Eugene Garfield, founder of the Institute for Scientific Information and The Scientist, has passed away at age 91 (2017) 0.04 
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    Content
    Vgl. auch Open Password, Nr.167 vom 01.03.2017 :"Eugene Garfield, Begründer und Pionier der Zitationsindexierung und der Ziationsanalyse, ohne den die Informationswissenschaft heute anders aussähe, ist im Alter von 91 Jahren gestorben. Er hinterlässt Frau, drei Söhne, eine Tochter, eine Stieftochter, zwei Enkeltöchter und zwei Großelternkinder. Garfield machte seinen ersten Abschluss als Bachelor in Chemie an der Columbia University in New York City im Jahre 1949. 1954 sattelte er einen Abschluss in Bibliothekswissenschaft drauf. 1961 sollte er im Fach strukturelle Linguistik promovieren. Als Chemie-Student war er nach eigenen Angaben weder besonders gut noch besonders glücklich. Sein "Erweckungserlebnis" hatte er auf einer Tagung der American Chemical Society, als er entdeckte, dass sich mit der Suche nach Literatur womöglich ein Lebensunterhalt bestreiten lasse. "So I went to the Chairman of the meeting and said: "How do you get a job in this racket?" Ab 1955 war Garfield zunächst als Berater für pharmazeutische Unternehmen tätig. Dort spezialisierte er sich auf Fachinformationen, indem er Inhalte relevanter Fachzeitschriften erarbeitete. 1955 schlug er in "Science" seine bahnbrechende Idee vor, Zitationen wissenschaftlicher Veröffentlichungen systematisch zu erfassen und Zusammenhänge zwischen Zitaten deutlich zu machen. 1960 gründete Garfield das Institute für Scientific Informationen, dessen CEO er bis 1992 blieb. 1964 brachte er den Scientific Information Index heraus. Weitere Maßgrößen wie der Social Science Index (ab 1973), der Arts and Humanities Citation Index (ab 1978) und der Journal Citation Index folgten. Diese Verzeichnisse wurden in dem "Web of Science" zusammengefasst und als Datenbank elektronisch zugänglich gemacht. Damit wurde es den Forschern ermöglich, die für sie relevante Literatur "at their fingertips" zu finden und sich in ihr zurechtzufinden. Darüber hinaus wurde es mit Hilfe der Rankings von Garfields Messgrößen möglich, die relative wissenschaftliche Bedeutung wissenschaftlicher Beiträge, Autoren, wissenschaftlicher Einrichtungen, Regionen und Länder zu messen.
    Garfield wandte sich im Zusammenhang mit seinen Messgrößen gegen "Bibliographic Negligence" und "Citation Amnesia", Er schrieb 2002: "There will never be a perfect solution to the problem of acknowledging intellectual debts. But a beginning can be made if journal editors will demand a signed pledge from authors that they have searched Medline, Science Citation Index, or other appropriate print and electronic databases." Er warnte aber auch vor einen unsachgemäßen Umgang mit seinen Messgößen und vor übertriebenen Erwartungen an sie in Zusammenhang mit Karriereentscheidungen über Wissenschaftler und Überlebensentscheidungen für wissenschaftliche Einrichtungen. 1982 übernahm die Thomson Corporation ISI für 210 Millionen Dollar. In der heutigen Nachfolgeorganisation Clarivate Analytics sind mehr als 4000 Mitarbeitern in über hundert Ländern beschäftigt. Garfield gründete auch eine Zeitung für Wissenschaftler, speziell für Biowissenschaftler, "The Scientist", die weiterbesteht und als kostenfreier Pushdienst bezogen werden kann. In seinen Beiträgen zur Wissenschaftspolitik kritisierte er beispielsweise die Wissenschaftsberater von Präsident Reagen 1986 als "Advocats of the administration´s science policies, rather than as objective conduits for communication between the president and the science community." Seinen Beitrag, mit dem er darum warb, die Förderung von UNESCO-Forschungsprogrammen fortzusetzen, gab er den Titel: "Let´s stand up für Global Science". Das ist auch in Trump-Zeiten ein guter Titel, da die US-Regierung den Wahrheitsbegriff, auf der Wissenschaft basiert, als bedeutungslos verwirft und sich auf Nationalismus und Abschottung statt auf internationale Kommunikation, Kooperation und gemeinsame Ausschöpfung von Interessen fokussiert."
  2. Dees, W.: "Publication power approach" (2013) 0.03 
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    Abstract
    Die Publikationslandschaft der Erziehungswissenschaft ist durch eine enorme Breite undVielfalt sowie zahlreiche Verbindungen in benachbarte Felder gekennzeichnet. Aktuelle Analysen zum Publikationsverhalten von Erziehungswissenschaftlern zeigen, dass diese Hunderte von verschiedenen Zeitschriften und Verlagen zur Veröffentlichung nutzen. Um aus dieser Fülle an Publikationsorten die bedeutendsten zu ermitteln, wird ein neuer Ansatz zur Zeitschriftenbewertung, der "publication power approach" von Holsapple, auf die deutsche Erziehungswissenschaft übertragen. Dieser Ansatz basiert auf dem Publikationsverhalten von Forschern an ausgewählten Institutionen und stellt eine Alternative zu Expertenbefragungen und Zitationsanalysen dar. Der Beitrag stellt wesentlich Ergebnisse zur "publication power" von Zeitschriften und Verlagen der Erziehungswissenschaft vor und diskutiert Vor- und Nachteile dieses Ansatzes im Vergleich zu den herkömmlichen Bewertungsmethoden.
    Series
    Fortschritte in der Wissensorganisation; Bd.12
    Source
    Wissen - Wissenschaft - Organisation: Proceedings der 12. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Bonn, 19. bis 21. Oktober 2009. Hrsg.: H.P. Ohly
  3. McCain, K.W.: Assessing obliteration by incorporation : issues and caveats (2012) 0.03 
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  4. Tavakolizadeh-Ravari, M.: Analysis of the long term dynamics in thesaurus developments and its consequences (2017) 0.02 
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    Abstract
    Die Arbeit analysiert die dynamische Entwicklung und den Gebrauch von Thesaurusbegriffen. Zusätzlich konzentriert sie sich auf die Faktoren, die die Zahl von Indexbegriffen pro Dokument oder Zeitschrift beeinflussen. Als Untersuchungsobjekt dienten der MeSH und die entsprechende Datenbank "MEDLINE". Die wichtigsten Konsequenzen sind: 1. Der MeSH-Thesaurus hat sich durch drei unterschiedliche Phasen jeweils logarithmisch entwickelt. Solch einen Thesaurus sollte folgenden Gleichung folgen: "T = 3.076,6 Ln (d) - 22.695 + 0,0039d" (T = Begriffe, Ln = natürlicher Logarithmus und d = Dokumente). Um solch einen Thesaurus zu konstruieren, muss man demnach etwa 1.600 Dokumente von unterschiedlichen Themen des Bereiches des Thesaurus haben. Die dynamische Entwicklung von Thesauri wie MeSH erfordert die Einführung eines neuen Begriffs pro Indexierung von 256 neuen Dokumenten. 2. Die Verteilung der Thesaurusbegriffe erbrachte drei Kategorien: starke, normale und selten verwendete Headings. Die letzte Gruppe ist in einer Testphase, während in der ersten und zweiten Kategorie die neu hinzukommenden Deskriptoren zu einem Thesauruswachstum führen. 3. Es gibt ein logarithmisches Verhältnis zwischen der Zahl von Index-Begriffen pro Aufsatz und dessen Seitenzahl für die Artikeln zwischen einer und einundzwanzig Seiten. 4. Zeitschriftenaufsätze, die in MEDLINE mit Abstracts erscheinen erhalten fast zwei Deskriptoren mehr. 5. Die Findablity der nicht-englisch sprachigen Dokumente in MEDLINE ist geringer als die englische Dokumente. 6. Aufsätze der Zeitschriften mit einem Impact Factor 0 bis fünfzehn erhalten nicht mehr Indexbegriffe als die der anderen von MEDINE erfassten Zeitschriften. 7. In einem Indexierungssystem haben unterschiedliche Zeitschriften mehr oder weniger Gewicht in ihrem Findability. Die Verteilung der Indexbegriffe pro Seite hat gezeigt, dass es bei MEDLINE drei Kategorien der Publikationen gibt. Außerdem gibt es wenige stark bevorzugten Zeitschriften."
    Footnote
    Dissertation, Humboldt-Universität zu Berlin - Institut für Bibliotheks- und Informationswissenschaft.
    Imprint
    Berlin : Humboldt-Universität zu Berlin / Institut für Bibliotheks- und Informationswissenschaft
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  5. Dobrota, M.; Dobrota, M.: ARWU ranking uncertainty and sensitivity : what if the award factor was Excluded? (2016) 0.01 
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    Date
    22. 1.2016 14:40:53
    Footnote
    Autoren: Milan Dobrota und Marina Dobrota
  6. Sen, B.K.: Ranganathan's contribution to bibliometrics (2015) 0.01 
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    Footnote
    Beitrag in einem Themenheft zu Leben und Werk von S.R. Ranganathan.
  7. Stuart, D.: Web metrics for library and information professionals (2014) 0.01 
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    BK
    06.00 Information und Dokumentation: Allgemeines
    Classification
    06.00 Information und Dokumentation: Allgemeines
  8. Tüür-Fröhlich, T.: ¬The non-trivial effects of trivial errors in scientific communication and evaluation (2016) 0.00 
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    Field
    Wissenschaftstheorie
  9. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.00 
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    Date
    18. 3.2014 19:13:22
  10. Haustein, S.; Sugimoto, C.; Larivière, V.: Social media in scholarly communication : Guest editorial (2015) 0.00 
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    Date
    20. 1.2015 18:30:22
    Footnote
    Teil eines Special Issue: Social Media Metrics in Scholarly Communication: exploring tweets, blogs, likes and other altmetrics. Der Beitrag ist frei verfügbar.
  11. Calculating the h-index : Web of Science, Scopus or Google Scholar? (2011) 0.00 
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    Abstract
    Gegenüberstellung der Berechnung des h-Index in den drei Tools mit Beispiel Stephen Hawking (WoS: 59, Scopus: 19, Google Scholar: 76)
  12. Vezzani, A.; Coad, A.; Gkotsis, P.: Concerns about the consequences of patenting on scientometric research (2017) 0.00 
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    Content
    Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23762/full. - Der Brief ist dort frei verfügbar.
  13. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.00 
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    Date
    22. 1.2017 17:12:50
  14. Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.00 
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    22. 8.2014 17:05:18
  15. Ohly, P.: Dimensions of globality : a bibliometric analysis (2016) 0.00 
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    Date
    20. 1.2019 11:22:31
  16. Crespo, J.A.; Herranz, N.; Li, Y.; Ruiz-Castillo, J.: ¬The effect on citation inequality of differences in citation practices at the web of science subject category level (2014) 0.00 
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    Abstract
    This article studies the impact of differences in citation practices at the subfield, or Web of Science subject category level, using the model introduced in Crespo, Li, and Ruiz-Castillo (2013a), according to which the number of citations received by an article depends on its underlying scientific influence and the field to which it belongs. We use the same Thomson Reuters data set of about 4.4 million articles used in Crespo et al. (2013a) to analyze 22 broad fields. The main results are the following: First, when the classification system goes from 22 fields to 219 subfields the effect on citation inequality of differences in citation practices increases from ?14% at the field level to 18% at the subfield level. Second, we estimate a set of exchange rates (ERs) over a wide [660, 978] citation quantile interval to express the citation counts of articles into the equivalent counts in the all-sciences case. In the fractional case, for example, we find that in 187 of 219 subfields the ERs are reliable in the sense that the coefficient of variation is smaller than or equal to 0.10. Third, in the fractional case the normalization of the raw data using the ERs (or subfield mean citations) as normalization factors reduces the importance of the differences in citation practices from 18% to 3.8% (3.4%) of overall citation inequality. Fourth, the results in the fractional case are essentially replicated when we adopt a multiplicative approach.
  17. Yan, E.: Finding knowledge paths among scientific disciplines (2014) 0.00 
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    26.10.2014 20:22:22
  18. Zhu, Q.; Kong, X.; Hong, S.; Li, J.; He, Z.: Global ontology research progress : a bibliometric analysis (2015) 0.00 
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    20. 1.2015 18:30:22
    17. 9.2018 18:22:23
  19. Campanario, J.M.: Large increases and decreases in journal impact factors in only one year : the effect of journal self-citations (2011) 0.00 
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    22. 1.2011 12:53:00
  20. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.00 
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    Date
    22. 1.2011 13:02:21

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