Search (222 results, page 1 of 12)

  • × theme_ss:"Informetrie"
  1. Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003) 0.12 
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    Date
    29. 3.2003 19:52:23
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.400-412
  2. Campanario, J.M.: Using 'Citation Classics' to study the incidence of serendipity in scientific discovery (1996) 0.05 
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    Abstract
    Suggests that the literature on the role of chance, error or accident in scientific progress tends to be anecdotal, hagiographic and rarely systematic. In contrast, presents a new approach to this topic, the study of serendipity in scietific discovery. Bases the approach on the study of highly cited papers obtained from the 'Citation Classics' feature of 'Current Contents'. Reports on the analysis of 205 'Citation Classics' commentaries from the 400 most cited papers in the recent history of science, and presents the results of the analysis
  3. Garfield, E.; Paris, S.W.; Stock, W.G.: HistCite(TM) : a software tool for informetric analysis of citation linkage (2006) 0.05 
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.8, S.391-400
  4. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.04 
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    Date
    22. 7.2006 18:55:29
  5. De Bellis, N.: Bibliometrics and citation analysis : from the Science citation index to cybermetrics (2008) 0.03 
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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."
  6. Ohly, P.: Dimensions of globality : a bibliometric analysis (2016) 0.02 
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    Date
    20. 1.2019 11:22:31
    Source
    Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei
  7. Neth, M.: Citation analysis and the Web (1998) 0.02 
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    Date
    10. 1.1999 16:22:37
    Source
    Art documentation. 17(1998) no.1, S.29-33
  8. Burrell, Q.L.: Predicting future citation behavior (2003) 0.02 
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    Date
    29. 3.2003 19:22:48
  9. Haycock, L.A.: Citation analysis of education dissertations for collection development (2004) 0.02 
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    Date
    10. 9.2000 17:38:22
    17.12.2006 19:44:29
  10. Huang, M.-H.; Huang, W.-T.; Chang, C.-C.; Chen, D. Z.; Lin, C.-P.: The greater scattering phenomenon beyond Bradford's law in patent citation (2014) 0.02 
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    Date
    22. 8.2014 17:11:29
  11. Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020) 0.01 
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    Abstract
    Purpose Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This article investigates important issues reflected on Twitter in the early stages of the public reaction to COVID-19. Design/methodology/approach A thematic analysis of the most retweeted English-language tweets mentioning COVID-19 during March 10-29, 2020. Findings The main themes identified for the 87 qualifying tweets accounting for 14 million retweets were: lockdown life; attitude towards social restrictions; politics; safety messages; people with COVID-19; support for key workers; work; and COVID-19 facts/news. Research limitations/implications Twitter played many positive roles, mainly through unofficial tweets. Users shared social distancing information, helped build support for social distancing, criticised government responses, expressed support for key workers and helped each other cope with social isolation. A few popular tweets not supporting social distancing show that government messages sometimes failed. Practical implications Public health campaigns in future may consider encouraging grass roots social web activity to support campaign goals. At a methodological level, analysing retweet counts emphasised politics and ignored practical implementation issues. Originality/value This is the first qualitative analysis of general COVID-19-related retweeting.
    Date
    20. 1.2015 18:30:22
  12. Nicholls, P.T.: Empirical validation of Lotka's law (1986) 0.01 
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    Source
    Information processing and management. 22(1986), S.417-419
  13. Nicolaisen, J.: Citation analysis (2007) 0.01 
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    Date
    13. 7.2008 19:53:22
  14. Fiala, J.: Information flood : fiction and reality (1987) 0.01 
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    Source
    Thermochimica acta. 110(1987), S.11-22
  15. Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998) 0.01 
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    Date
    22. 5.1999 19:22:35
  16. 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
  17. Khurshid, A.; Sahai, H.: Bibliometric, scientometric and informetric distributions and laws : a selected bibliography (1991) 0.01 
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    Source
    International forum on information and documentation. 16(1991) no.2, S.18-29
  18. Diodato, V.: Dictionary of bibliometrics (1994) 0.01 
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    Footnote
    Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
  19. Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990) 0.01 
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    Date
    22. 7.2006 18:55:55
  20. Herb, U.: Überwachungskapitalismus und Wissenschaftssteuerung (2019) 0.01 
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    Date
    29. 6.2019 17:46:17
    4. 8.2019 19:52:29
    Issue
    [29. Juli 2019].

Authors

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