Search (8 results, page 1 of 1)

  • × theme_ss:"Informetrie"
  • × author_ss:"Leydesdorff, L."
  1. Leydesdorff, L.: Can networks of journal-journal citations be used as indicators of change in the social sciences? (2003) 0.01
    0.010605331 = product of:
      0.021210661 = sum of:
        0.021210661 = product of:
          0.042421322 = sum of:
            0.042421322 = weight(_text_:22 in 4460) [ClassicSimilarity], result of:
              0.042421322 = score(doc=4460,freq=2.0), product of:
                0.1827397 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052184064 = queryNorm
                0.23214069 = fieldWeight in 4460, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4460)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    6.11.2005 19:02:22
  2. Leydesdorff, L.; Sun, Y.: National and international dimensions of the Triple Helix in Japan : university-industry-government versus international coauthorship relations (2009) 0.01
    0.010605331 = product of:
      0.021210661 = sum of:
        0.021210661 = product of:
          0.042421322 = sum of:
            0.042421322 = weight(_text_:22 in 2761) [ClassicSimilarity], result of:
              0.042421322 = score(doc=2761,freq=2.0), product of:
                0.1827397 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052184064 = queryNorm
                0.23214069 = fieldWeight in 2761, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2761)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    22. 3.2009 19:07:20
  3. Leydesdorff, L.; Bornmann, L.; Wagner, C.S.: ¬The relative influences of government funding and international collaboration on citation impact (2019) 0.01
    0.010605331 = product of:
      0.021210661 = sum of:
        0.021210661 = product of:
          0.042421322 = sum of:
            0.042421322 = weight(_text_:22 in 4681) [ClassicSimilarity], result of:
              0.042421322 = score(doc=4681,freq=2.0), product of:
                0.1827397 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052184064 = queryNorm
                0.23214069 = fieldWeight in 4681, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4681)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    8. 1.2019 18:22:45
  4. Leydesdorff, L.; Wagner, C.S.; Porto-Gomez, I.; Comins, J.A.; Phillips, F.: Synergy in the knowledge base of U.S. innovation systems at national, state, and regional levels : the contributions of high-tech manufacturing and knowledge-intensive services (2019) 0.01
    0.009625921 = product of:
      0.019251842 = sum of:
        0.019251842 = product of:
          0.038503684 = sum of:
            0.038503684 = weight(_text_:systems in 5390) [ClassicSimilarity], result of:
              0.038503684 = score(doc=5390,freq=4.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.24009174 = fieldWeight in 5390, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5390)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Using information theory, we measure innovation systemness as synergy among size-classes, ZIP Codes, and technological classes (NACE-codes) for 8.5 million American companies. The synergy at the national level is decomposed at the level of states, Core-Based Statistical Areas (CBSA), and Combined Statistical Areas (CSA). We zoom in to the state of California and in more detail to Silicon Valley. Our results do not support the assumption of a national system of innovations in the U.S.A. Innovation systems appear to operate at the level of the states; the CBSA are too small, so that systemness spills across their borders. Decomposition of the sample in terms of high-tech manufacturing (HTM), medium-high-tech manufacturing (MHTM), knowledge-intensive services (KIS), and high-tech services (HTKIS) does not change this pattern, but refines it. The East Coast-New Jersey, Boston, and New York-and California are the major players, with Texas a third one in the case of HTKIS. Chicago and industrial centers in the Midwest also contribute synergy. Within California, Los Angeles contributes synergy in the sectors of manufacturing, the San Francisco area in KIS. KIS in Silicon Valley and the Bay Area-a CSA composed of seven CBSA-spill over to other regions and even globally.
  5. Leydesdorff, L.; Bornmann, L.: How fractional counting of citations affects the impact factor : normalization in terms of differences in citation potentials among fields of science (2011) 0.01
    0.008837775 = product of:
      0.01767555 = sum of:
        0.01767555 = product of:
          0.0353511 = sum of:
            0.0353511 = weight(_text_:22 in 4186) [ClassicSimilarity], result of:
              0.0353511 = score(doc=4186,freq=2.0), product of:
                0.1827397 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052184064 = queryNorm
                0.19345059 = fieldWeight in 4186, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4186)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    22. 1.2011 12:51:07
  6. Leydesdorff, L.; Opthof, T.: Citation analysis with medical subject Headings (MeSH) using the Web of Knowledge : a new routine (2013) 0.01
    0.008167865 = product of:
      0.01633573 = sum of:
        0.01633573 = product of:
          0.03267146 = sum of:
            0.03267146 = weight(_text_:systems in 943) [ClassicSimilarity], result of:
              0.03267146 = score(doc=943,freq=2.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.2037246 = fieldWeight in 943, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.046875 = fieldNorm(doc=943)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Citation analysis of documents retrieved from the Medline database (at the Web of Knowledge) has been possible only on a case-by-case basis. A technique is presented here for citation analysis in batch mode using both Medical Subject Headings (MeSH) at the Web of Knowledge and the Science Citation Index at the Web of Science (WoS). This freeware routine is applied to the case of "Brugada Syndrome," a specific disease and field of research (since 1992). The journals containing these publications, for example, are attributed to WoS categories other than "cardiac and cardiovascular systems", perhaps because of the possibility of genetic testing for this syndrome in the clinic. With this routine, all the instruments available for citation analysis can now be used on the basis of MeSH terms. Other options for crossing between Medline, WoS, and Scopus are also reviewed.
  7. Ye, F.Y.; Yu, S.S.; Leydesdorff, L.: ¬The Triple Helix of university-industry-government relations at the country level and its dynamic evolution under the pressures of globalization (2013) 0.01
    0.008167865 = product of:
      0.01633573 = sum of:
        0.01633573 = product of:
          0.03267146 = sum of:
            0.03267146 = weight(_text_:systems in 1110) [ClassicSimilarity], result of:
              0.03267146 = score(doc=1110,freq=2.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.2037246 = fieldWeight in 1110, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1110)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Using data from the Web of Science (WoS), we analyze the mutual information among university, industry, and government addresses (U-I-G) at the country level for a number of countries. The dynamic evolution of the Triple Helix can thus be compared among developed and developing nations in terms of cross-sectional coauthorship relations. The results show that the Triple Helix interactions among the three subsystems U-I-G become less intensive over time, but unequally for different countries. We suggest that globalization erodes local Triple Helix relations and thus can be expected to have increased differentiation in national systems since the mid-1990s. This effect of globalization is more pronounced in developed countries than in developing ones. In the dynamic analysis, we focus on a more detailed comparison between China and the United States. Specifically, the Chinese Academy of the (Social) Sciences is changing increasingly from a public research institute to an academic one, and this has a measurable effect on China's position in the globalization.
  8. Leydesdorff, L.; Heimeriks, G.: ¬The self-organization of the European information society : the case of "biotechnology" (2001) 0.01
    0.0068065543 = product of:
      0.013613109 = sum of:
        0.013613109 = product of:
          0.027226217 = sum of:
            0.027226217 = weight(_text_:systems in 6524) [ClassicSimilarity], result of:
              0.027226217 = score(doc=6524,freq=2.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.1697705 = fieldWeight in 6524, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=6524)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Fields of technoscience like biotechnology develop in a network mode: disciplinary insights from different backgrounds are recombined as competing innovation systems are continuously reshaped. The ongoing process of integration at the European level generates an additional network of transnational collaborations. Using the title words of scientific publications in five core journals of biotechnology, multivariate analysis is used to distinguish between the intellectual organization of the publications in terms of title words and the institutional network in terms of addresses of documents. The interaction among the representation of intellectual space in terms of words and co-words, and the potentially European network system is compared with the document sets with American and Japanese addresses. The European system can also be decomposed in terms of the contributions of member states. Whereas a European vocabulary can be made visible at the global level, this communality disappears by this decomposition. The network effect at the European level can be considered as institutional more than cognitive