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  • × theme_ss:"Informetrie"
  1. Schramm, R.; Bartkowski, A.: Patentindikatoren zur Ermittlung von Kerninformationen (1996) 0.05
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    Source
    Nachrichten für Dokumentation. 47(1996) H.5, S.293-300
  2. Marx, W.; Gramm, G.: Literaturflut - Informationslawine - Wissensexplosion : Wächst der Wissenschaft das Wissen über den Kopf? (1997) 0.04
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    Abstract
    Scientific information has stopped growing exponentially as in the last 300 years. Nevertheless, the number of scientific papers published yearly remains dramatic. Well orderd databases and sophisticated search systems allow scientists to find the needle in the haystack. A growing number of factual databases as well as more reviews compress and refine information. Not searching but controlling and working up information appear to become the most important problem in the future
  3. Juchem, K.: ¬Der Bibliotheksdienst in szientometrischer Analyse (2002) 0.04
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    Content
    Der BIBLIOTHEKSDIENST Ist das Organ der Bundesvereinigung Deutscher Bibliotheksverbände (BDB) und wird von der Zentral- und Landesbibliothek Berlin herausgegeben. Er ist eine Fachzeitschrift mit Mitteilungen und Berichten aus allen Bereichen der Bibliotheksarbeit. Der BIBLIOTHEKSDIENST erscheint monatlich (11mal im Jahr), die durchschnittliche Seitenzahl (im DIN A5-Format) beträgt 2.250 pro Jahrgang, wovon rund 200 bis 300 Seiten auf Anzeigen entfallen. Mit einer verkauften Auflage von 4.000 Exemplaren hat er eine große Reichweite in der deutschen Bibliothekswelt. 90% der Abonnenten leben in Deutschland, 10% im Ausland. Der Bezieherkreis setzt sich aus Bibliothekaren und verwandten Berufsgruppen (50%), aus Bibliotheken (40%) und Institutionen des Informationswesens (10%) zusammen. Der BIBLIOTHEKSDIENST erscheint als Printorgan, mit einer Verzögerung von drei Monaten werden die Artikel zusätzlich digital (http://bibliotheksdienst.zib.de) zur Verfügung gestellt. Wie werden die Beiträge des BIBLIOTHEKSDIENST rezipiert? Wo steht der BIBLIOTHEKSDIENST In der wissenschaftlichen Kommunikation?
  4. Butkovich, N.J.: Reshelving study of review literature in the physical sciences (1996) 0.03
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    Abstract
    State of the art reviews are publications that contain articles that give overviews on specific topics and, although some review titles are published more frequently, many appear only once a year. At the Physical Sciences Library, Pennsylvania State University, a 1 year reshelving study of the review publications collection was undertaken to determine usage of the titles. This was encouraged by a lack of shelf space, storage considerations, and the threat of periodicals cancellations. 300 review titles were examined and data collected in terms of LCC and publication date. Results indicated that: approximately half of all the titles were used at least once; periodicals had a higher percentage of use than did monographic series. As a result of the study, periodical titles were incorporated into the periodicals collection, while series were merged into the monograph collection
  5. Umstätter, W.: Szientometrische Verfahren (2004) 0.03
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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.
  6. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.03
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    Source
    Information processing and management. 22(1986), S.417-419
  7. Nicolaisen, J.: Citation analysis (2007) 0.03
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    Date
    13. 7.2008 19:53:22
  8. Fiala, J.: Information flood : fiction and reality (1987) 0.03
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    Source
    Thermochimica acta. 110(1987), S.11-22
  9. Arora, S.K.; Li, Y.; Youtie, J.; Shapira, P.: Using the wayback machine to mine websites in the social sciences : a methodological resource (2016) 0.03
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    Abstract
    Websites offer an unobtrusive data source for developing and analyzing information about various types of social science phenomena. In this paper, we provide a methodological resource for social scientists looking to expand their toolkit using unstructured web-based text, and in particular, with the Wayback Machine, to access historical website data. After providing a literature review of existing research that uses the Wayback Machine, we put forward a step-by-step description of how the analyst can design a research project using archived websites. We draw on the example of a project that analyzes indicators of innovation activities and strategies in 300 U.S. small- and medium-sized enterprises in green goods industries. We present six steps to access historical Wayback website data: (a) sampling, (b) organizing and defining the boundaries of the web crawl, (c) crawling, (d) website variable operationalization, (e) integration with other data sources, and (f) analysis. Although our examples draw on specific types of firms in green goods industries, the method can be generalized to other areas of research. In discussing the limitations and benefits of using the Wayback Machine, we note that both machine and human effort are essential to developing a high-quality data set from archived web information.
  10. Ikae, C.; Savoy, J.: Gender identification on Twitter (2022) 0.03
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    Abstract
    To determine the author of a text's gender, various feature types have been suggested (e.g., function words, n-gram of letters, etc.) leading to a huge number of stylistic markers. To determine the target category, different machine learning models have been suggested (e.g., logistic regression, decision tree, k nearest-neighbors, support vector machine, naïve Bayes, neural networks, and random forest). In this study, our first objective is to know whether or not the same model always proposes the best effectiveness when considering similar corpora under the same conditions. Thus, based on 7 CLEF-PAN collections, this study analyzes the effectiveness of 10 different classifiers. Our second aim is to propose a 2-stage feature selection to reduce the feature size to a few hundred terms without any significant change in the performance level compared to approaches using all the attributes (increase of around 5% after applying the proposed feature selection). Based on our experiments, neural network or random forest tend, on average, to produce the highest effectiveness. Moreover, empirical evidence indicates that reducing the feature set size to around 300 without penalizing the effectiveness is possible. Finally, based on such reduced feature sizes, an analysis reveals some of the specific terms that clearly discriminate between the 2 genders.
  11. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.02
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    Date
    22. 5.1999 19:22:35
  12. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.02
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    Date
    22. 7.2006 15:22:28
  13. Diodato, V.: Dictionary of bibliometrics (1994) 0.02
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
  14. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.02
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    Date
    22. 7.2006 18:55:29
  15. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.02
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    Date
    22. 7.2006 18:55:55
  16. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.02
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    Date
    20. 1.2007 17:02:22
  17. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.02
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    Date
    18. 3.2014 19:13:22
  18. Raan, A.F.J. van: Statistical properties of bibliometric indicators : research group indicator distributions and correlations (2006) 0.01
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    Date
    22. 7.2006 16:20:22
  19. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.01
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    Date
    22. 3.2009 19:22:35
  20. Li, T.-C.: Reference sources in periodicals : research note (1995) 0.01
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    Abstract
    Presents a list of 53 periodicals in 22 subject fields which regularly provide bibliographies of theses, research in progress and patents in their particular subject field. The fields of business, economics, history and literature have most periodical listings of dissertations and theses. Also lists 63 periodicals in 25 sub-disciplines which provide rankings or ratings. Rankings and ratings information predominates in the fields of business, sports and games, finance and banking, and library and information science

Years

Languages

  • e 111
  • d 12
  • ro 1
  • More… Less…

Types

  • a 122
  • m 2
  • el 1
  • s 1
  • More… Less…