-
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)
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- Source
- Mitteilungen der Deutschen Mathematiker-Vereinigung. 2017, H.4, S.215-224
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Fang, H.: ¬A discussion of citations from the perspective of the contribution of the cited paper to the citing paper (2018)
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Park, H.; You, S.; Wolfram, D.: Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields (2018)
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Chen, L.; Fang, H.: ¬An automatic method for ex-tracting innovative ideas based on the Scopus® database (2019)
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-
Aung, H.H.; Zheng, H.; Erdt, M.; Aw, A.S.; Sin, S.-C.J.; Theng, Y.-L.: Investigating familiarity and usage of traditional metrics and altmetrics (2019)
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-
Zhou, H.; Guns, R.; Engels, T.C.E.: Are social sciences becoming more interdisciplinary? : evidence from publications 1960-2014 (2022)
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Cui, Y.; Wang, Y.; Liu, X.; Wang, X.; Zhang, X.: Multidimensional scholarly citations : characterizing and understanding scholars' citation behaviors (2023)
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- Abstract
- This study investigates scholars' citation behaviors from a fine-grained perspective. Specifically, each scholarly citation is considered multidimensional rather than logically unidimensional (i.e., present or absent). Thirty million articles from PubMed were accessed for use in empirical research, in which a total of 15 interpretable features of scholarly citations were constructed and grouped into three main categories. Each category corresponds to one aspect of the reasons and motivations behind scholars' citation decision-making during academic writing. Using about 500,000 pairs of actual and randomly generated scholarly citations, a series of Random Forest-based classification experiments were conducted to quantitatively evaluate the correlation between each constructed citation feature and citation decisions made by scholars. Our experimental results indicate that citation proximity is the category most relevant to scholars' citation decision-making, followed by citation authority and citation inertia. However, big-name scholars whose h-indexes rank among the top 1% exhibit a unique pattern of citation behaviors-their citation decision-making correlates most closely with citation inertia, with the correlation nearly three times as strong as that of their ordinary counterparts. Hopefully, the empirical findings presented in this paper can bring us closer to characterizing and understanding the complex process of generating scholarly citations in academia.
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Jiao, H.; Qiu, Y.; Ma, X.; Yang, B.: Dissmination effect of data papers on scientific datasets (2024)
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Czepel, R.: ¬Die Geographie der wissenschaftlichen Zitierung (2003)
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- Source
- Online Mitteilungen. 2003, Nr.77, S.34-36 [=Mitteilungen VÖB 56(2003) H.3/4]
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Bibliometrische Analysen - ein Beitrag für ein gerechtes Notensystem in der Forschung? : Konferenz in Jülich (2004)
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- Source
- BuB. 56(2004) H.2, S.101
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Glänzel, W.; Debackere, K.: Messen von Wissenschaftlicher Kommunikation und Forschungsleistung : Möglichkeiten und Beschränkungen bibliometrischer Methoden (2005)
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- Source
- Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 58(2005) H.2, S.9-20
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Petersen, A.; Münch, V.: STN® AnaVist(TM) holt verborgenes Wissen aus Recherche-Ergebnissen : Neue Software analysiert und visualisiert Marktaufteilung, Forschung und Patentaktivitäten (2005)
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- Source
- Information - Wissenschaft und Praxis. 56(2005) H.5/6, S.319-322
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Stock, W.G.; Weber, S.: Facets of informetrics : Preface (2006)
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- Source
- Information - Wissenschaft und Praxis. 57(2006) H.8, S.385-389
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Egghe, L.: Empirical and combinatorial study of country occurrences in multi-authored papers (2006)
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- Information - Wissenschaft und Praxis. 57(2006) H.8, S.427-432
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Bornmann, L.; Daniel, H.-D.: Selecting manuscripts for a high-impact journal through peer review : a citation analysis of communications that were accepted by Angewandte Chemie International Edition, or rejected but published elsewhere (2008)
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-
Neuhaus, C.; Marx, W.; Daniel, H.-W.: ¬The publication and citation impact profiles of Angewandte Chemie and the Journal of the American Chemical Society based on the sections of Chemical Abstracts : a case study on the limitations of the Journal Impact Factor (2009)
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-
De Bellis, N.: Bibliometrics and citation analysis : from the Science citation index to cybermetrics (2008)
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- Footnote
- Rez. in: JASIS 61(2010) no.1, S.205-207 (Jeppe Nicolaisen) Weitere Rez. in: Mitt VÖB 63(2010) H.1/2, S.134-135 (J. Gorraiz u. M. Wieland): "Das Buch entwickelte sich aus einem mehrjährigen Forschungsprojekt mit dem Ziel, den schwer verständlichen quantitativen Kern der Bibliometrie in einem für primär italienische Bibliothekare leichteren historischen und philosophischen Kontext zu vermitteln, wie der Autor im Vorwort erklärt. Dank einer Empfehlung von Eugene Garfield steht dieses Werk nun auch in englischer Übersetzung einer internationalen Leserschaft zur Verfügung. Die über 400 Seiten lange Monografie von de Bellis gibt in acht Kapiteln einen detaillierten und sehr präzisen Überblick über die Bibliometrie und die Zitationsanalyse, ihre Natur und Entwicklung, ihre Kontroverse und Prognose. . . . Das Buch von de Bellis ist sehr empfehlenswert für alle die beabsichtigen, sich mit dieser neuen Wissenschaft zu beschäftigen. Es endet mit folgendem Statement: "Scientometricians have to learn to live in a multidimensional world". Und genau hier liegt die Herausforderung und Schönheit dieses Metiers."
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Gingras, Y.: Bibliometrics and research evaluation : uses and abuses (2016)
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- Abstract
- The research evaluation market is booming. "Ranking," "metrics," "h-index," and "impact factors" are reigning buzzwords. Government and research administrators want to evaluate everything -- teachers, professors, training programs, universities -- using quantitative indicators. Among the tools used to measure "research excellence," bibliometrics -- aggregate data on publications and citations -- has become dominant. Bibliometrics is hailed as an "objective" measure of research quality, a quantitative measure more useful than "subjective" and intuitive evaluation methods such as peer review that have been used since scientific papers were first published in the seventeenth century. In this book, Yves Gingras offers a spirited argument against an unquestioning reliance on bibliometrics as an indicator of research quality. Gingras shows that bibliometric rankings have no real scientific validity, rarely measuring what they pretend to. Although the study of publication and citation patterns, at the proper scales, can yield insights on the global dynamics of science over time, ill-defined quantitative indicators often generate perverse and unintended effects on the direction of research. Moreover, abuse of bibliometrics occurs when data is manipulated to boost rankings. Gingras looks at the politics of evaluation and argues that using numbers can be a way to control scientists and diminish their autonomy in the evaluation process. Proposing precise criteria for establishing the validity of indicators at a given scale of analysis, Gingras questions why universities are so eager to let invalid indicators influence their research strategy.
-
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)
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- 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."
