Search (6 results, page 1 of 1)

0.017662229 = product of:
  0.035324458 = sum of:
    0.035324458 = product of:
      0.070648916 = sum of:
        0.070648916 = weight(_text_:22 in 4992) [ClassicSimilarity], result of:
          0.070648916 = score(doc=4992,freq=2.0), product of:
            0.18260197 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.052144732 = queryNorm
            0.38690117 = fieldWeight in 4992, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=4992)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

14. 2.2012 12:53:22

0.014256276 = product of:
  0.028512552 = sum of:
    0.028512552 = product of:
      0.057025105 = sum of:
        0.057025105 = weight(_text_:data in 2723) [ClassicSimilarity], result of:
          0.057025105 = score(doc=2723,freq=4.0), product of:
            0.16488427 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.052144732 = queryNorm
            0.34584928 = fieldWeight in 2723, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2723)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The research question studied in this contribution is how to find an adequate representation to describe the diffusion of scientific ideas over time. We claim that citation data, at least of articles that act as concept symbols, can be considered to contain this information. As a case study we show how the founding article by Nobel Prize winner Kao illustrates the evolution of the field of fiber optics communication. We use a continuous description of discrete citation data in order to accentuate turning points and breakthroughs in the history of this field. Applying the principles explained in this contribution informetrics may reveal the trajectories along which science is developing.

0.01152081 = product of:
  0.02304162 = sum of:
    0.02304162 = product of:
      0.04608324 = sum of:
        0.04608324 = weight(_text_:data in 1197) [ClassicSimilarity], result of:
          0.04608324 = score(doc=1197,freq=2.0), product of:
            0.16488427 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.052144732 = queryNorm
            0.2794884 = fieldWeight in 1197, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.0625 = fieldNorm(doc=1197)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Using citation data of articles written by some Nobel Prize winners in physics, we show that concave, convex, and straight curves represent different types of interactions between old ideas and new insights. These cases illustrate different diffusion characteristics of academic knowledge, depending on the nature of the knowledge in the new publications. This work adds to the study of the development of science and links this development to citation analysis.

0.01152081 = product of:
  0.02304162 = sum of:
    0.02304162 = product of:
      0.04608324 = sum of:
        0.04608324 = weight(_text_:data in 3210) [ClassicSimilarity], result of:
          0.04608324 = score(doc=3210,freq=2.0), product of:
            0.16488427 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.052144732 = queryNorm
            0.2794884 = fieldWeight in 3210, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.0625 = fieldNorm(doc=3210)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

0.008640608 = product of:
  0.017281216 = sum of:
    0.017281216 = product of:
      0.03456243 = sum of:
        0.03456243 = weight(_text_:data in 297) [ClassicSimilarity], result of:
          0.03456243 = score(doc=297,freq=2.0), product of:
            0.16488427 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.052144732 = queryNorm
            0.2096163 = fieldWeight in 297, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.046875 = fieldNorm(doc=297)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Purpose - This paper aims to introduce a general framework for the analysis of knowledge integration and diffusion using bibliometric data. Design/methodology/approach - The authors propose that in order to characterise knowledge integration and diffusion of a given issue (the source, for example articles on a topic or by an organisation, etc.), one has to choose a set of elements from the source (the intermediary set, for example references, keywords, etc.). This set can then be classified into categories (cats), thus making it possible to investigate its diversity. The set can also be characterised according to the coherence of a network associated to it. Findings - This framework allows a methodology to be developed to assess knowledge integration and diffusion. Such methodologies can be useful for a number of science policy issues, including the assessment of interdisciplinarity in research and dynamics of research networks. Originality/value - The main contribution of this article is to provide a simple and easy to use generalisation of an existing approach to study interdisciplinarity, bringing knowledge integration and knowledge diffusion together in one framework.

0.007200507 = product of:
  0.014401014 = sum of:
    0.014401014 = product of:
      0.028802028 = sum of:
        0.028802028 = weight(_text_:data in 4461) [ClassicSimilarity], result of:
          0.028802028 = score(doc=4461,freq=2.0), product of:
            0.16488427 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.052144732 = queryNorm
            0.17468026 = fieldWeight in 4461, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4461)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Software programs are among the most important tools in data-driven research. The popularity of well-known packages and corresponding large numbers of citations received bear testimony of the contribution of scientific software to academic research. Yet software is not generally recognized as an academic outcome. In this study, a usage-based model is proposed with varied indicators including citations, mentions, and downloads to measure the importance of scientific software. We performed an investigation on a sample of international bioinformatics research articles, and on a sample from the Chinese community. Our analysis shows that scientists in the field of bioinformatics rely heavily on scientific software: the major differences between the international community and the Chinese example being how scientific packages are mentioned in publications and the time gap between the introduction of a package and its use. Biologists publishing in international journals tend to apply the latest tools earlier; Chinese scientists publishing in Chinese tend to follow later. Further, journals with higher impact factors tend to publish articles applying the latest tools earlier.