Search (412 results, page 3 of 21)

  • × theme_ss:"Informetrie"
  1. Zhao, D.; Strotmann, A.: ¬The knowledge base and research front of information science 2006-2010 : an author cocitation and bibliographic coupling analysis (2014) 0.02
    0.023242442 = product of:
      0.069727324 = sum of:
        0.036957435 = weight(_text_:web in 1259) [ClassicSimilarity], result of:
          0.036957435 = score(doc=1259,freq=4.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.25496176 = fieldWeight in 1259, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1259)
        0.03276989 = weight(_text_:computer in 1259) [ClassicSimilarity], result of:
          0.03276989 = score(doc=1259,freq=2.0), product of:
            0.16231956 = queryWeight, product of:
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.044416238 = queryNorm
            0.20188503 = fieldWeight in 1259, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1259)
      0.33333334 = coord(2/6)
    
    Abstract
    This study continues a long history of author cocitation analysis (and more recently, author bibliographic coupling analysis) of the intellectual structure of information science (IS) into the time period 2006 to 2010 (IS 2006-2010). We find that web technologies continue to drive developments, especially at the research front, although perhaps more indirectly than before. A broadening of perspectives is visible in IS 2006-2010, where network science becomes influential and where full-text analysis methods complement traditional computer science influences. Research in the areas of the h-index and mapping of science appears to have been highlights of IS 2006-2011. This study tests and confirms a forecast made previously by comparing knowledge-base and research-front findings for IS 2001-2005, which expected both the information retrieval (IR) systems and webometrics specialties to shrink in 2006 to 2010. A corresponding comparison of the knowledge base and research front of IS 2006-2010 suggests a continuing decline of the IR systems specialty in the near future, but also a considerable (re)growth of the webometrics area after a period of decline from 2001 to 2005 and 2006 to 2010, with the latter due perhaps in part to its contribution to an emerging web science.
  2. Zhu, Q.; Kong, X.; Hong, S.; Li, J.; He, Z.: Global ontology research progress : a bibliometric analysis (2015) 0.02
    0.022179842 = product of:
      0.066539526 = sum of:
        0.045263432 = weight(_text_:web in 2590) [ClassicSimilarity], result of:
          0.045263432 = score(doc=2590,freq=6.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.3122631 = fieldWeight in 2590, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2590)
        0.02127609 = product of:
          0.04255218 = sum of:
            0.04255218 = weight(_text_:22 in 2590) [ClassicSimilarity], result of:
              0.04255218 = score(doc=2590,freq=4.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.27358043 = fieldWeight in 2590, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2590)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Purpose - The purpose of this paper is to analyse the global scientific outputs of ontology research, an important emerging discipline that has huge potential to improve information understanding, organization, and management. Design/methodology/approach - This study collected literature published during 1900-2012 from the Web of Science database. The bibliometric analysis was performed from authorial, institutional, national, spatiotemporal, and topical aspects. Basic statistical analysis, visualization of geographic distribution, co-word analysis, and a new index were applied to the selected data. Findings - Characteristics of publication outputs suggested that ontology research has entered into the soaring stage, along with increased participation and collaboration. The authors identified the leading authors, institutions, nations, and articles in ontology research. Authors were more from North America, Europe, and East Asia. The USA took the lead, while China grew fastest. Four major categories of frequently used keywords were identified: applications in Semantic Web, applications in bioinformatics, philosophy theories, and common supporting technology. Semantic Web research played a core role, and gene ontology study was well-developed. The study focus of ontology has shifted from philosophy to information science. Originality/value - This is the first study to quantify global research patterns and trends in ontology, which might provide a potential guide for the future research. The new index provides an alternative way to evaluate the multidisciplinary influence of researchers.
    Date
    20. 1.2015 18:30:22
    17. 9.2018 18:22:23
  3. Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Why are coauthored academic articles more cited : higher quality or larger audience? (2023) 0.02
    0.021071352 = product of:
      0.063214056 = sum of:
        0.04816959 = weight(_text_:wide in 995) [ClassicSimilarity], result of:
          0.04816959 = score(doc=995,freq=2.0), product of:
            0.19679762 = queryWeight, product of:
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.044416238 = queryNorm
            0.24476713 = fieldWeight in 995, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.4307585 = idf(docFreq=1430, maxDocs=44218)
              0.0390625 = fieldNorm(doc=995)
        0.0150444675 = product of:
          0.030088935 = sum of:
            0.030088935 = weight(_text_:22 in 995) [ClassicSimilarity], result of:
              0.030088935 = score(doc=995,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.19345059 = fieldWeight in 995, 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=995)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Collaboration is encouraged because it is believed to improve academic research, supported by indirect evidence in the form of more coauthored articles being more cited. Nevertheless, this might not reflect quality but increased self-citations or the "audience effect": citations from increased awareness through multiple author networks. We address this with the first science wide investigation into whether author numbers associate with journal article quality, using expert peer quality judgments for 122,331 articles from the 2014-20 UK national assessment. Spearman correlations between author numbers and quality scores show moderately strong positive associations (0.2-0.4) in the health, life, and physical sciences, but weak or no positive associations in engineering and social sciences, with weak negative/positive or no associations in various arts and humanities, and a possible negative association for decision sciences. This gives the first systematic evidence that greater numbers of authors associates with higher quality journal articles in the majority of academia outside the arts and humanities, at least for the UK. Positive associations between team size and citation counts in areas with little association between team size and quality also show that audience effects or other nonquality factors account for the higher citation rates of coauthored articles in some fields.
    Date
    22. 6.2023 18:11:50
  4. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.02
    0.020800762 = product of:
      0.062402282 = sum of:
        0.04434892 = weight(_text_:web in 2742) [ClassicSimilarity], result of:
          0.04434892 = score(doc=2742,freq=4.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.3059541 = fieldWeight in 2742, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=2742)
        0.01805336 = product of:
          0.03610672 = sum of:
            0.03610672 = weight(_text_:22 in 2742) [ClassicSimilarity], result of:
              0.03610672 = score(doc=2742,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.23214069 = fieldWeight in 2742, 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=2742)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    In this research, we aim to identify factors that significantly affect the clickthrough of Web searchers. Our underlying goal is determine more efficient methods to optimize the clickthrough rate. We devise a clickthrough metric for measuring customer satisfaction of search engine results using the number of links visited, number of queries a user submits, and rank of clicked links. We use a neural network to detect the significant influence of searching characteristics on future user clickthrough. Our results show that high occurrences of query reformulation, lengthy searching duration, longer query length, and the higher ranking of prior clicked links correlate positively with future clickthrough. We provide recommendations for leveraging these findings for improving the performance of search engine retrieval and result ranking, along with implications for search engine marketing.
    Date
    22. 3.2009 17:49:11
  5. Metrics in research : for better or worse? (2016) 0.02
    0.01973276 = product of:
      0.05919828 = sum of:
        0.02621591 = weight(_text_:computer in 3312) [ClassicSimilarity], result of:
          0.02621591 = score(doc=3312,freq=2.0), product of:
            0.16231956 = queryWeight, product of:
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.044416238 = queryNorm
            0.16150802 = fieldWeight in 3312, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.03125 = fieldNorm(doc=3312)
        0.032982368 = product of:
          0.065964736 = sum of:
            0.065964736 = weight(_text_:programs in 3312) [ClassicSimilarity], result of:
              0.065964736 = score(doc=3312,freq=2.0), product of:
                0.25748047 = queryWeight, product of:
                  5.79699 = idf(docFreq=364, maxDocs=44218)
                  0.044416238 = queryNorm
                0.25619316 = fieldWeight in 3312, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.79699 = idf(docFreq=364, maxDocs=44218)
                  0.03125 = fieldNorm(doc=3312)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    If you are an academic researcher but did not earn (yet) your Nobel prize or your retirement, it is unlikely you never heard about research metrics. These metrics aim at quantifying various aspects of the research process, at the level of individual researchers (e.g. h-index, altmetrics), scientific journals (e.g. impact factors) or entire universities/ countries (e.g. rankings). Although such "measurements" have existed in a simple form for a long time, their widespread calculation was enabled by the advent of the digital era (large amount of data available worldwide in a computer-compatible format). And in this new era, what becomes technically possible will be done, and what is done and appears to simplify our lives will be used. As a result, a rapidly growing number of statistics-based numerical indices are nowadays fed into decisionmaking processes. This is true in nearly all aspects of society (politics, economy, education and private life), and in particular in research, where metrics play an increasingly important role in determining positions, funding, awards, research programs, career choices, reputations, etc.
  6. Tian, W.; Cai, R.; Fang, Z.; Geng, Y.; Wang, X.; Hu, Z.: Understanding co-corresponding authorship : a bibliometric analysis and detailed overview (2024) 0.02
    0.019634247 = product of:
      0.05890274 = sum of:
        0.026132854 = weight(_text_:web in 1196) [ClassicSimilarity], result of:
          0.026132854 = score(doc=1196,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.18028519 = fieldWeight in 1196, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1196)
        0.03276989 = weight(_text_:computer in 1196) [ClassicSimilarity], result of:
          0.03276989 = score(doc=1196,freq=2.0), product of:
            0.16231956 = queryWeight, product of:
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.044416238 = queryNorm
            0.20188503 = fieldWeight in 1196, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1196)
      0.33333334 = coord(2/6)
    
    Abstract
    The phenomenon of co-corresponding authorship is becoming more and more common. To understand the practice of authorship credit sharing among multiple corresponding authors, we comprehensively analyzed the characteristics of the phenomenon of co-corresponding authorships from the perspectives of countries, disciplines, journals, and articles. This researcher was based on a dataset of nearly 8 million articles indexed in the Web of Science, which provides systematic, cross-disciplinary, and large-scale evidence for understanding the phenomenon of co-corresponding authorship for the first time. Our findings reveal that higher proportions of co-corresponding authorship exist in Asian countries, especially in China. From the perspective of disciplines, there is a relatively higher proportion of co-corresponding authorship in the fields of engineering and medicine, while a lower proportion exists in the humanities, social sciences, and computer science fields. From the perspective of journals, high-quality journals usually have higher proportions of co-corresponding authorship. At the level of the article, our findings proved that, compared to articles with a single corresponding author, articles with multiple corresponding authors have a significant citation advantage.
  7. Neth, M.: Citation analysis and the Web (1998) 0.02
    0.019216085 = product of:
      0.057648253 = sum of:
        0.036585998 = weight(_text_:web in 108) [ClassicSimilarity], result of:
          0.036585998 = score(doc=108,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.25239927 = fieldWeight in 108, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=108)
        0.021062255 = product of:
          0.04212451 = sum of:
            0.04212451 = weight(_text_:22 in 108) [ClassicSimilarity], result of:
              0.04212451 = score(doc=108,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.2708308 = fieldWeight in 108, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=108)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Date
    10. 1.1999 16:22:37
  8. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.02
    0.019216085 = product of:
      0.057648253 = sum of:
        0.036585998 = weight(_text_:web in 4188) [ClassicSimilarity], result of:
          0.036585998 = score(doc=4188,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.25239927 = fieldWeight in 4188, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4188)
        0.021062255 = product of:
          0.04212451 = sum of:
            0.04212451 = weight(_text_:22 in 4188) [ClassicSimilarity], result of:
              0.04212451 = score(doc=4188,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.2708308 = fieldWeight in 4188, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4188)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    This article aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information retrieval (IR) was selected as a test field and data from 1956-2008 were collected from Web of Science. Weighted PageRank with citation and publication as weighted vectors were calculated on author citation networks. The results indicate that both popularity rank and prestige rank were highly correlated with the weighted PageRank. Principal component analysis was conducted to detect relationships among these different measures. For capturing prize winners within the IR field, prestige rank outperformed all the other measures
    Date
    22. 1.2011 13:02:21
  9. Schlögl, C.: Internationale Sichtbarkeit der europäischen und insbesondere der deutschsprachigen Informationswissenschaft (2013) 0.02
    0.019216085 = product of:
      0.057648253 = sum of:
        0.036585998 = weight(_text_:web in 900) [ClassicSimilarity], result of:
          0.036585998 = score(doc=900,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.25239927 = fieldWeight in 900, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=900)
        0.021062255 = product of:
          0.04212451 = sum of:
            0.04212451 = weight(_text_:22 in 900) [ClassicSimilarity], result of:
              0.04212451 = score(doc=900,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.2708308 = fieldWeight in 900, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=900)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    In diesem Beitrag wird eine Publikationsanalyse von Beiträgen in von im Web of Science (WoS) indexierten bibliotheks- und informationswissenschaftlichen Zeitschriften vorgestellt. Die Ergebnisse dieser Analyse bestätigen die anglo-amerikanische Dominanz in der facheinschlägigen Literatur, die bei den primär informationswissenschaftlichen Zeitschriften sogar noch deutlicher ausfällt. Die skandinavischen Länder und der Bereich der Szientometrie stellen gewisse Ausnahmen dar. Die internationale Sichtbarkeit Deutschlands und Österreichs ist hingegen "ausbaufähig".
    Date
    22. 3.2013 14:04:09
  10. Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014) 0.02
    0.019125743 = product of:
      0.057377227 = sum of:
        0.039323866 = weight(_text_:computer in 1350) [ClassicSimilarity], result of:
          0.039323866 = score(doc=1350,freq=2.0), product of:
            0.16231956 = queryWeight, product of:
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.044416238 = queryNorm
            0.24226204 = fieldWeight in 1350, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.6545093 = idf(docFreq=3109, maxDocs=44218)
              0.046875 = fieldNorm(doc=1350)
        0.01805336 = product of:
          0.03610672 = sum of:
            0.03610672 = weight(_text_:22 in 1350) [ClassicSimilarity], result of:
              0.03610672 = score(doc=1350,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.23214069 = fieldWeight in 1350, 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=1350)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Literature citation analysis plays a very important role in bibliometrics and scientometrics, such as the Science Citation Index (SCI) impact factor, h-index. Existing citation analysis methods assume that all citations in a paper are equally important, and they simply count the number of citations. Here we argue that the citations in a paper are not equally important and some citations are more important than the others. We use a strength value to assess the importance of each citation and propose to use the regression method with a few useful features for automatically estimating the strength value of each citation. Evaluation results on a manually labeled data set in the computer science field show that the estimated values can achieve good correlation with human-labeled values. We further apply the estimated citation strength values for evaluating paper influence and author influence, and the preliminary evaluation results demonstrate the usefulness of the citation strength values.
    Date
    22. 8.2014 17:12:35
  11. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.02
    0.01896358 = product of:
      0.056890734 = sum of:
        0.031359423 = weight(_text_:web in 2763) [ClassicSimilarity], result of:
          0.031359423 = score(doc=2763,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.21634221 = fieldWeight in 2763, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=2763)
        0.02553131 = product of:
          0.05106262 = sum of:
            0.05106262 = weight(_text_:22 in 2763) [ClassicSimilarity], result of:
              0.05106262 = score(doc=2763,freq=4.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.32829654 = fieldWeight in 2763, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2763)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    This article challenges recent research (Evans, 2008) reporting that the concentration of cited scientific literature increases with the online availability of articles and journals. Using Thomson Reuters' Web of Science, the present article analyses changes in the concentration of citations received (2- and 5-year citation windows) by papers published between 1900 and 2005. Three measures of concentration are used: the percentage of papers that received at least one citation (cited papers); the percentage of papers needed to account for 20%, 50%, and 80% of the citations; and the Herfindahl-Hirschman index (HHI). These measures are used for four broad disciplines: natural sciences and engineering, medical fields, social sciences, and the humanities. All these measures converge and show that, contrary to what was reported by Evans, the dispersion of citations is actually increasing.
    Date
    22. 3.2009 19:22:35
  12. Ingwersen, P.: ¬The calculation of Web impact factors (1998) 0.02
    0.018292997 = product of:
      0.10975798 = sum of:
        0.10975798 = weight(_text_:web in 1071) [ClassicSimilarity], result of:
          0.10975798 = score(doc=1071,freq=18.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.75719774 = fieldWeight in 1071, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1071)
      0.16666667 = coord(1/6)
    
    Abstract
    Reports investigations into the feasibility and reliability of calculating impact factors for web sites, called Web Impact Factors (Web-IF). analyzes a selection of 7 small and medium scale national and 4 large web domains as well as 6 institutional web sites over a series of snapshots taken of the web during a month. Describes the data isolation and calculation methods and discusses the tests. The results thus far demonstrate that Web-IFs are calculable with high confidence for national and sector domains whilst institutional Web-IFs should be approached with caution
  13. Koehler, W.: Web page change and persistence : a four-year longitudinal study (2002) 0.02
    0.017334577 = product of:
      0.10400745 = sum of:
        0.10400745 = weight(_text_:web in 203) [ClassicSimilarity], result of:
          0.10400745 = score(doc=203,freq=22.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.717526 = fieldWeight in 203, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=203)
      0.16666667 = coord(1/6)
    
    Abstract
    Changes in the topography of the Web can be expressed in at least four ways: (1) more sites on more servers in more places, (2) more pages and objects added to existing sites and pages, (3) changes in traffic, and (4) modifications to existing text, graphic, and other Web objects. This article does not address the first three factors (more sites, more pages, more traffic) in the growth of the Web. It focuses instead on changes to an existing set of Web documents. The article documents changes to an aging set of Web pages, first identified and "collected" in December 1996 and followed weekly thereafter. Results are reported through February 2001. The article addresses two related phenomena: (1) the life cycle of Web objects, and (2) changes to Web objects. These data reaffirm that the half-life of a Web page is approximately 2 years. There is variation among Web pages by top-level domain and by page type (navigation, content). Web page content appears to stabilize over time; aging pages change less often than once they did
  14. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.02
    0.017333968 = product of:
      0.0520019 = sum of:
        0.036957435 = weight(_text_:web in 1934) [ClassicSimilarity], result of:
          0.036957435 = score(doc=1934,freq=4.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.25496176 = fieldWeight in 1934, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1934)
        0.0150444675 = product of:
          0.030088935 = sum of:
            0.030088935 = weight(_text_:22 in 1934) [ClassicSimilarity], result of:
              0.030088935 = score(doc=1934,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.19345059 = fieldWeight in 1934, 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=1934)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Um sich einer Antwort auf die Frage anzunähern, welche Bedeutung der Nachlass eines Wissenschaftlers wie jener Paul F. Lazarsfelds (mit zahlreichen noch unveröffentlichten Schriften) für die aktuelle Forschung haben könne, kann untersucht werden, wie häufig dieser Wissenschaftler zitiert wird. Wenn ein Autor zitiert wird, wird er auch genutzt. Wird er über einen langen Zeitraum oft genutzt, ist vermutlich auch die Auseinandersetzung mit seinem Nachlass von Nutzen. Außerdem kann aufgrund der Zitierungen festgestellt werden, was aus dem Lebenswerk eines Wissenschaftlers für die aktuelle Forschung relevant erscheint. Daraus können die vordringlichen Fragestellungen in der Bearbeitung des Nachlasses abgeleitet werden. Die Aufgabe für die folgende Untersuchung lautete daher: Wie oft wird Paul F. Lazarsfeld zitiert? Dabei interessierte auch: Wer zitiert wo? Die Untersuchung wurde mit Hilfe der Meta-Datenbank "ISI Web of Knowledge" durchgeführt. In dieser wurde im "Web of Science" mit dem Werkzeug "Cited Reference Search" nach dem zitierten Autor (Cited Author) "Lazarsfeld P*" gesucht. Diese Suche ergab 1535 Referenzen (References). Werden alle Referenzen gewählt, führt dies zu 4839 Ergebnissen (Results). Dabei wurden die Datenbanken SCI-Expanded, SSCI und A&HCI verwendet. Bei dieser Suche wurden die Publikationsjahre 1941-2008 analysiert. Vor 1956 wurden allerdings nur sehr wenige Zitate gefunden: 1946 fünf, ansonsten maximal drei, 1942-1944 und 1949 überhaupt keines. Zudem ist das Jahr 2008 noch lange nicht zu Ende. (Es gab jedoch schon vor Ende März 24 Zitate!)
    Date
    22. 6.2008 12:54:12
  15. Park, H.W.; Barnett, G.A.; Nam, I.-Y.: Hyperlink - affiliation network structure of top Web sites : examining affiliates with hyperlink in Korea (2002) 0.02
    0.017246805 = product of:
      0.10348082 = sum of:
        0.10348082 = weight(_text_:web in 584) [ClassicSimilarity], result of:
          0.10348082 = score(doc=584,freq=16.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.71389294 = fieldWeight in 584, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=584)
      0.16666667 = coord(1/6)
    
    Abstract
    This article argues that individual Web sites form hyperlink-affiliations with others for the purpose of strengthening their individual trust, expertness, and safety. It describes the hyperlink-affiliation network structure of Korea's top 152 Web sites. The data were obtained from their Web sites for October 2000. The results indicate that financial Web sites, such as credit card and stock Web sites, occupy the most central position in the network. A cluster analysis reveals that the structure of the hyperlink-affiliation network is influenced by the financial Web sites with which others are affiliated. These findings are discussed from the perspective of Web site credibility.
  16. Impe, S. van; Rousseau, R.: Web-to-print citations and the humanities (2006) 0.02
    0.016527869 = product of:
      0.09916721 = sum of:
        0.09916721 = weight(_text_:web in 82) [ClassicSimilarity], result of:
          0.09916721 = score(doc=82,freq=20.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.6841342 = fieldWeight in 82, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=82)
      0.16666667 = coord(1/6)
    
    Abstract
    References to printed documents made on the web are called web-to-print references. These printed documents then in turn receive web-to-print citations. Webto-print citations and web-to-print references are the topic of this article, in which we study the online impact of printed sources. Web-to-print citations are discussed from a structural point of view and a small-scale experiment related to web-to-print citations for local history journals is performed. The main research question in setting up this experiment concerns the possibility of using web-to-print citations as a substitute for classical citation indexes by gauging the importance, visibility and impact of journals in the humanities. Results show the importance of web bibliographies in the field, but, at least for what concerns the journals and the period studied here, the amount of received web-to-print citations is too small to draw general conclusions.
  17. He, Z.-L.: International collaboration does not have greater epistemic authority (2009) 0.02
    0.016470928 = product of:
      0.049412783 = sum of:
        0.031359423 = weight(_text_:web in 3122) [ClassicSimilarity], result of:
          0.031359423 = score(doc=3122,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.21634221 = fieldWeight in 3122, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=3122)
        0.01805336 = product of:
          0.03610672 = sum of:
            0.03610672 = weight(_text_:22 in 3122) [ClassicSimilarity], result of:
              0.03610672 = score(doc=3122,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.23214069 = fieldWeight in 3122, 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=3122)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    The consistent finding that internationally coauthored papers are more heavily cited has led to a tacit agreement among politicians and scientists that international collaboration in scientific research should be particularly promoted. However, existing studies of research collaboration suffer from a major weakness in that the Thomson Reuters Web of Science until recently did not link author names with affiliation addresses. The general approach has been to hierarchically code papers into international paper, national paper, or local paper based on the address information. This hierarchical coding scheme severely understates the level and contribution of local or national collaboration on an internationally coauthored paper. In this research, I code collaboration variables by hand checking each paper in the sample, use two measures of a paper's impact, and try several regression models. I find that both international collaboration and local collaboration are positively and significantly associated with a paper's impact, but international collaboration does not have more epistemic authority than local collaboration. This result suggests that previous findings based on hierarchical coding might be misleading.
    Date
    26. 9.2009 11:22:05
  18. Li, J.; Shi, D.: Sleeping beauties in genius work : when were they awakened? (2016) 0.02
    0.016470928 = product of:
      0.049412783 = sum of:
        0.031359423 = weight(_text_:web in 2647) [ClassicSimilarity], result of:
          0.031359423 = score(doc=2647,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.21634221 = fieldWeight in 2647, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=2647)
        0.01805336 = product of:
          0.03610672 = sum of:
            0.03610672 = weight(_text_:22 in 2647) [ClassicSimilarity], result of:
              0.03610672 = score(doc=2647,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.23214069 = fieldWeight in 2647, 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=2647)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    "Genius work," proposed by Avramescu, refers to scientific articles whose citations grow exponentially in an extended period, for example, over 50 years. Such articles were defined as "sleeping beauties" by van Raan, who quantitatively studied the phenomenon of delayed recognition. However, the criteria adopted by van Raan at times are not applicable and may confer recognition prematurely. To revise such deficiencies, this paper proposes two new criteria, which are applicable (but not limited) to exponential citation curves. We searched for genius work among articles of Nobel Prize laureates during the period of 1901-2012 on the Web of Science, finding 25 articles of genius work out of 21,438 papers including 10 (by van Raan's criteria) sleeping beauties and 15 nonsleeping-beauties. By our new criteria, two findings were obtained through empirical analysis: (a) the awakening periods for genius work depend on the increase rate b in the exponential function, and (b) lower b leads to a longer sleeping period.
    Date
    22. 1.2016 14:13:32
  19. Ridenour, L.: Boundary objects : measuring gaps and overlap between research areas (2016) 0.02
    0.016470928 = product of:
      0.049412783 = sum of:
        0.031359423 = weight(_text_:web in 2835) [ClassicSimilarity], result of:
          0.031359423 = score(doc=2835,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.21634221 = fieldWeight in 2835, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=2835)
        0.01805336 = product of:
          0.03610672 = sum of:
            0.03610672 = weight(_text_:22 in 2835) [ClassicSimilarity], result of:
              0.03610672 = score(doc=2835,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = queryNorm
                0.23214069 = fieldWeight in 2835, 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=2835)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    The aim of this paper is to develop methodology to determine conceptual overlap between research areas. It investigates patterns of terminology usage in scientific abstracts as boundary objects between research specialties. Research specialties were determined by high-level classifications assigned by Thomson Reuters in their Essential Science Indicators file, which provided a strictly hierarchical classification of journals into 22 categories. Results from the query "network theory" were downloaded from the Web of Science. From this file, two top-level groups, economics and social sciences, were selected and topically analyzed to provide a baseline of similarity on which to run an informetric analysis. The Places & Spaces Map of Science (Klavans and Boyack 2007) was used to determine the proximity of disciplines to one another in order to select the two disciplines use in the analysis. Groups analyzed share common theories and goals; however, groups used different language to describe their research. It was found that 61% of term words were shared between the two groups.
  20. Leydesdorff, L.; Bornmann, L.; Wagner, C.S.: ¬The relative influences of government funding and international collaboration on citation impact (2019) 0.02
    0.016470928 = product of:
      0.049412783 = sum of:
        0.031359423 = weight(_text_:web in 4681) [ClassicSimilarity], result of:
          0.031359423 = score(doc=4681,freq=2.0), product of:
            0.14495286 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.044416238 = queryNorm
            0.21634221 = fieldWeight in 4681, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=4681)
        0.01805336 = product of:
          0.03610672 = sum of:
            0.03610672 = weight(_text_:22 in 4681) [ClassicSimilarity], result of:
              0.03610672 = score(doc=4681,freq=2.0), product of:
                0.1555381 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.044416238 = 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)
      0.33333334 = coord(2/6)
    
    Abstract
    A recent publication in Nature reports that public R&D funding is only weakly correlated with the citation impact of a nation's articles as measured by the field-weighted citation index (FWCI; defined by Scopus). On the basis of the supplementary data, we up-scaled the design using Web of Science data for the decade 2003-2013 and OECD funding data for the corresponding decade assuming a 2-year delay (2001-2011). Using negative binomial regression analysis, we found very small coefficients, but the effects of international collaboration are positive and statistically significant, whereas the effects of government funding are negative, an order of magnitude smaller, and statistically nonsignificant (in two of three analyses). In other words, international collaboration improves the impact of research articles, whereas more government funding tends to have a small adverse effect when comparing OECD countries.
    Date
    8. 1.2019 18:22:45

Years

Languages

  • e 389
  • d 20
  • ro 1
  • More… Less…

Types

  • a 401
  • el 8
  • m 7
  • s 3
  • r 1
  • More… Less…