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Williams, B.: Dimensions & VOSViewer bibliometrics in the reference interview (2020) 0.05

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Abstract: The VOSviewer software provides easy access to bibliometric mapping using data from Dimensions, Scopus and Web of Science. The properly formatted and structured citation data, and the ease in which it can be exported open up new avenues for use during citation searches and eference interviews. This paper details specific techniques for using advanced searches in Dimensions, exporting the citation data, and drawing insights from the maps produced in VOS Viewer. These search techniques and data export practices are fast and accurate enough to build into reference interviews for graduate students, faculty, and post-PhD researchers. The search results derived from them are accurate and allow a more comprehensive view of citation networks embedded in ordinary complex boolean searches.

Calculating the h-index : Web of Science, Scopus or Google Scholar? (2011) 0.02

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Object: Web of Science

Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.01

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Date: 22. 7.2006 15:22:28

Bagrow, J.P.; Rozenfeld, H.D.; Bollt, E.M.; Ben-Avraham, D.: How famous is a scientist? : famous to those who know us (2004) 0.01
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Abstract

Following a recent idea, to measure fame by the number of \Google hits found in a search on the WWW, we study the relation between fame (\Google hits) and merit (number of papers posted on an electronic archive) for a random group of scientists in condensed matter and statistical physics. Our findings show that fame and merit in science are linearly related, and that the probability distribution for a certain level of fame falls off exponentially. This is in sharp contrast with the original findings about WW II ace pilots, for which fame is exponentially related to merit (number of downed planes), and the probability of fame decays in power-law fashion. Other groups in our study show similar patterns of fame as for ace pilots.

Harzing, A.-W.: Comparing the Google Scholar h-index with the ISI Journal Impact Factor (2008) 0.01

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Object: Web of Science

Lamb, I.; Larson, C.: Shining a light on scientific data : building a data catalog to foster data sharing and reuse (2016) 0.01
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Abstract

The scientific community's growing eagerness to make research data available to the public provides libraries - with our expertise in metadata and discovery - an interesting new opportunity. This paper details the in-house creation of a "data catalog" which describes datasets ranging from population-level studies like the US Census to small, specialized datasets created by researchers at our own institution. Based on Symfony2 and Solr, the data catalog provides a powerful search interface to help researchers locate the data that can help them, and an administrative interface so librarians can add, edit, and manage metadata elements at will. This paper will outline the successes, failures, and total redos that culminated in the current manifestation of our data catalog.
Braun, S.: Manifold: a custom analytics platform to visualize research impact (2015) 0.01
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Abstract

The use of research impact metrics and analytics has become an integral component to many aspects of institutional assessment. Many platforms currently exist to provide such analytics, both proprietary and open source; however, the functionality of these systems may not always overlap to serve uniquely specific needs. In this paper, I describe a novel web-based platform, named Manifold, that I built to serve custom research impact assessment needs in the University of Minnesota Medical School. Built on a standard LAMP architecture, Manifold automatically pulls publication data for faculty from Scopus through APIs, calculates impact metrics through automated analytics, and dynamically generates report-like profiles that visualize those metrics. Work on this project has resulted in many lessons learned about challenges to sustainability and scalability in developing a system of such magnitude.
Scientometrics pioneer Eugene Garfield dies : Eugene Garfield, founder of the Institute for Scientific Information and The Scientist, has passed away at age 91 (2017) 0.01
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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.

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