Search (186 results, page 1 of 10)

0.10502851 = product of:
  0.15754277 = sum of:
    0.082582794 = weight(_text_:interest in 2751) [ClassicSimilarity], result of:
      0.082582794 = score(doc=2751,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.3293521 = fieldWeight in 2751, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.046875 = fieldNorm(doc=2751)
    0.07495997 = sum of:
      0.03393283 = weight(_text_:classification in 2751) [ClassicSimilarity], result of:
        0.03393283 = score(doc=2751,freq=2.0), product of:
          0.16072905 = queryWeight, product of:
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.05046903 = queryNorm
          0.21111822 = fieldWeight in 2751, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.046875 = fieldNorm(doc=2751)
      0.04102714 = weight(_text_:22 in 2751) [ClassicSimilarity], result of:
        0.04102714 = score(doc=2751,freq=2.0), product of:
          0.17673394 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.05046903 = queryNorm
          0.23214069 = fieldWeight in 2751, 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=2751)
  0.6666667 = coord(2/3)

Abstract

Why authors choose some references in preference to others is a question that is still not wholly answered despite its being of interest to scientists. The relevance of references is twofold: They are a mechanism for tracing the evolution of science, and because they enhance the image of the cited authors, citations are a widely known and used indicator of scientific endeavor. Following an extensive review of the literature, we selected all papers that seek to answer the central question and demonstrate that the existing theories are not sufficient: Neither citation nor indicator theory provides a complete and convincing answer. Some perspectives in this arena remain, which are isolated from the core literature. The purpose of this article is to offer a fresh perspective on a 30-year-old problem by extending the context of the discussion. We suggest reviving the discussion about citation theories with a new perspective, that of the readers, by layers or phases, in the final choice of references, allowing for a new classification in which any paper, to date, could be included.

Date

22. 3.2009 19:05:07

0.09164122 = product of:
  0.13746183 = sum of:
    0.110110395 = weight(_text_:interest in 80) [ClassicSimilarity], result of:
      0.110110395 = score(doc=80,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.43913615 = fieldWeight in 80, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0625 = fieldNorm(doc=80)
    0.027351426 = product of:
      0.054702852 = sum of:
        0.054702852 = weight(_text_:22 in 80) [ClassicSimilarity], result of:
          0.054702852 = score(doc=80,freq=2.0), product of:
            0.17673394 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05046903 = queryNorm
            0.30952093 = fieldWeight in 80, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=80)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Footnote

Report presented at the 16th National Indian Association of Special Libraries and Information Centres Seminar Special Interest Group Meeting on Informatrics in Bombay, 19-22 Dec 94

0.08018607 = product of:
  0.1202791 = sum of:
    0.0963466 = weight(_text_:interest in 108) [ClassicSimilarity], result of:
      0.0963466 = score(doc=108,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.38424414 = fieldWeight in 108, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0546875 = fieldNorm(doc=108)
    0.023932498 = product of:
      0.047864996 = sum of:
        0.047864996 = weight(_text_:22 in 108) [ClassicSimilarity], result of:
          0.047864996 = score(doc=108,freq=2.0), product of:
            0.17673394 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05046903 = 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)
  0.6666667 = coord(2/3)

Abstract

Citation analysis has long been used by librarians as an important tool of collection development and the advent of Internet technology and especially the WWW adds a new facet to the role played by citation analysis. One of the reasons why librarians create WWW homepages is to provide users with further sources of interest or reference and to do this libraries include links from their own homepages to other information sources. Reports current research on the analysis of WWW pages as an introduction to an examination of the homepages of 25 art libraries to determine what sites are most often included. The types of linked sites are analyzed based on 3 criteria: location, focus and evidence that the link was evaluated before the connection was establisheds

Date

10. 1.1999 16:22:37

0.08018607 = product of:
  0.1202791 = sum of:
    0.0963466 = weight(_text_:interest in 3030) [ClassicSimilarity], result of:
      0.0963466 = score(doc=3030,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.38424414 = fieldWeight in 3030, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3030)
    0.023932498 = product of:
      0.047864996 = sum of:
        0.047864996 = weight(_text_:22 in 3030) [ClassicSimilarity], result of:
          0.047864996 = score(doc=3030,freq=2.0), product of:
            0.17673394 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05046903 = queryNorm
            0.2708308 = fieldWeight in 3030, 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=3030)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Abstract

The theory of diffusion can be successfully applied to scientific information dissemination by identifying space with a series of successive authors, and potential (temperature) with the interest of new authors towards earlier published papers, measured by the number of citations. As the total number of citation equals the number of references, the conservation law is fulfilled and Fourier's parabolic differential equation can be applied

Date

22. 2.1999 16:16:11

0.06873091 = product of:
  0.103096366 = sum of:
    0.082582794 = weight(_text_:interest in 656) [ClassicSimilarity], result of:
      0.082582794 = score(doc=656,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.3293521 = fieldWeight in 656, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.046875 = fieldNorm(doc=656)
    0.02051357 = product of:
      0.04102714 = sum of:
        0.04102714 = weight(_text_:22 in 656) [ClassicSimilarity], result of:
          0.04102714 = score(doc=656,freq=2.0), product of:
            0.17673394 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05046903 = queryNorm
            0.23214069 = fieldWeight in 656, 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=656)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Abstract

According to current research in bibliometrics, percentiles (or percentile rank classes) are the most suitable method for normalizing the citation counts of individual publications in terms of the subject area, the document type, and the publication year. Up to now, bibliometric research has concerned itself primarily with the calculation of percentiles. This study suggests how percentiles (and percentile rank classes) can be analyzed meaningfully for an evaluation study. Publication sets from four universities are compared with each other to provide sample data. These suggestions take into account on the one hand the distribution of percentiles over the publications in the sets (universities here) and on the other hand concentrate on the range of publications with the highest citation impact-that is, the range that is usually of most interest in the evaluation of scientific performance.

Date

22. 3.2013 19:44:17

0.06636614 = product of:
  0.09954921 = sum of:
    0.082582794 = weight(_text_:interest in 589) [ClassicSimilarity], result of:
      0.082582794 = score(doc=589,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.3293521 = fieldWeight in 589, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.046875 = fieldNorm(doc=589)
    0.016966416 = product of:
      0.03393283 = sum of:
        0.03393283 = weight(_text_:classification in 589) [ClassicSimilarity], result of:
          0.03393283 = score(doc=589,freq=2.0), product of:
            0.16072905 = queryWeight, product of:
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.05046903 = queryNorm
            0.21111822 = fieldWeight in 589, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1847067 = idf(docFreq=4974, maxDocs=44218)
              0.046875 = fieldNorm(doc=589)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Abstract

Q-analysis is a methodology for investigating a wide range of structural phenomena. Strutures are defined in terms of relations between members of sets and their salient features are revealed using techniques of algebraic topology. However, the basic method can be mastered by non-mathematicians. Q-analysis has been applied to problems as diverse as discovering the rules for the diagnosis of a rare disease and the study of tactics in a football match. Other applications include some of interest to librarians and information scientists. In bibliometrics, Q-analysis has proved capable of emulating techniques such as bibliographic coupling, co-citation analysis and co-word analysis. It has also been used to produce a classification scheme for television programmes based on different principles from most bibliographic classifications. This paper introduces the basic ideas of Q-analysis. Applications relevant to librarianship and information science are reviewed and present limitations of the approach described. New theoretical advances including some in other fields such as planning and design theory and artificial intelligence may lead to a still more powerful method of investigating structure

0.057275757 = product of:
  0.085913636 = sum of:
    0.068818994 = weight(_text_:interest in 4130) [ClassicSimilarity], result of:
      0.068818994 = score(doc=4130,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.27446008 = fieldWeight in 4130, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4130)
    0.017094642 = product of:
      0.034189284 = sum of:
        0.034189284 = weight(_text_:22 in 4130) [ClassicSimilarity], result of:
          0.034189284 = score(doc=4130,freq=2.0), product of:
            0.17673394 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05046903 = queryNorm
            0.19345059 = fieldWeight in 4130, 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=4130)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Abstract

The mapping of scientific fields, based on principles established in the seventies, has recently shown a remarkable development and applications are now booming with progress in computing efficiency. We examine here the convergence of two thematic mapping approaches, citation-based and word-based, which rely on quite different sociological backgrounds. A corpus in the nanoscience field was broken down into research themes, using the same clustering technique on the 2 networks separately. The tool for comparison is the table of intersections of the M clusters (here M=50) built on either side. A classical visual exploitation of such contingency tables is based on correspondence analysis. We investigate a rearrangement of the intersection table (block modeling), resulting in pseudo-map. The interest of this representation for confronting the two breakdowns is discussed. The amount of convergence found is, in our view, a strong argument in favor of the reliability of bibliometric mapping. However, the outcomes are not convergent at the degree where they can be substituted for each other. Differences highlight the complementarity between approaches based on different networks. In contrast with the strong informetric posture found in recent literature, where lexical and citation markers are considered as miscible tokens, the framework proposed here does not mix the two elements at an early stage, in compliance with their contrasted logic.

Date

8. 1.2011 18:22:50

0.057275757 = product of:
  0.085913636 = sum of:
    0.068818994 = weight(_text_:interest in 4147) [ClassicSimilarity], result of:
      0.068818994 = score(doc=4147,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.27446008 = fieldWeight in 4147, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4147)
    0.017094642 = product of:
      0.034189284 = sum of:
        0.034189284 = weight(_text_:22 in 4147) [ClassicSimilarity], result of:
          0.034189284 = score(doc=4147,freq=2.0), product of:
            0.17673394 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05046903 = queryNorm
            0.19345059 = fieldWeight in 4147, 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=4147)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

Abstract

Purpose - This review aims to show, broadly, how the h-index has become a subject of widespread debate, how it has spawned many variants and diverse applications since first introduced in 2005 and some of the issues in its use. Design/methodology/approach - The review drew on a range of material published in 1990 or so sources published since 2005. From these sources, a number of themes were identified and discussed ranging from the h-index's advantages to which citation database might be selected for its calculation. Findings - The analysis shows how the h-index has quickly established itself as a major subject of interest in the field of bibliometrics. Study of the index ranges from its mathematical underpinning to a range of variants perceived to address the indexes' shortcomings. The review illustrates how widely the index has been applied but also how care must be taken in its application. Originality/value - The use of bibliometric indicators to measure research performance continues, with the h-index as its latest addition. The use of the h-index, its variants and many applications to which it has been put are still at the exploratory stage. The review shows the breadth and diversity of this research and the need to verify the veracity of the h-index by more studies.

Date

8. 1.2011 19:22:13

0.038929906 = product of:
  0.11678971 = sum of:
    0.11678971 = weight(_text_:interest in 4474) [ClassicSimilarity], result of:
      0.11678971 = score(doc=4474,freq=4.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.46577424 = fieldWeight in 4474, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.046875 = fieldNorm(doc=4474)
  0.33333334 = coord(1/3)

Abstract

There has been much recent interest in extracting information from collections of Web links. One tool that has been used is Ingwersen's Web impact factor. It has been demonstrated that several versions of this metric can produce results that correlate with research ratings of British universities showing that, despite being a measure of a purely Internet phenomenon, the results are susceptible to a wider interpretation. This paper addresses the question of which is the best possible domain to count backlinks from, if research is the focus of interest. WIFs for British universities calculated from several different source domains are compared, primarily the .edu, .ac.uk and .uk domains, and the entire Web. The results show that all four areas produce WIFs that correlate strongly with research ratings, but that none produce incontestably superior figures. It was also found that the WIF was less able to differentiate in more homogeneous subsets of universities, although positive results are still possible.

0.03805658 = product of:
  0.11416973 = sum of:
    0.11416973 = sum of:
      0.07998045 = weight(_text_:classification in 4189) [ClassicSimilarity], result of:
        0.07998045 = score(doc=4189,freq=16.0), product of:
          0.16072905 = queryWeight, product of:
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.05046903 = queryNorm
          0.49761042 = fieldWeight in 4189, product of:
            4.0 = tf(freq=16.0), with freq of:
              16.0 = termFreq=16.0
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.0390625 = fieldNorm(doc=4189)
      0.034189284 = weight(_text_:22 in 4189) [ClassicSimilarity], result of:
        0.034189284 = score(doc=4189,freq=2.0), product of:
          0.17673394 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.05046903 = queryNorm
          0.19345059 = fieldWeight in 4189, 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=4189)
  0.33333334 = coord(1/3)

Abstract

Effective patent management is essential for organizations to maintain their competitive advantage. The classification of patents is a critical part of patent management and industrial analysis. This study proposes a hybrid-patent-classification approach that combines a novel patent-network-based classification method with three conventional classification methods to analyze query patents and predict their classes. The novel patent network contains various types of nodes that represent different features extracted from patent documents. The nodes are connected based on the relationship metrics derived from the patent metadata. The proposed classification method predicts a query patent's class by analyzing all reachable nodes in the patent network and calculating their relevance to the query patent. It then classifies the query patent with a modified k-nearest neighbor classifier. To further improve the approach, we combine it with content-based, citation-based, and metadata-based classification methods to develop a hybrid-classification approach. We evaluate the performance of the hybrid approach on a test dataset of patent documents obtained from the U.S. Patent and Trademark Office, and compare its performance with that of the three conventional methods. The results demonstrate that the proposed patent-network-based approach yields more accurate class predictions than the patent network-based approach.

Date

22. 1.2011 13:04:21

0.032441586 = product of:
  0.09732476 = sum of:
    0.09732476 = weight(_text_:interest in 1200) [ClassicSimilarity], result of:
      0.09732476 = score(doc=1200,freq=4.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.38814518 = fieldWeight in 1200, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1200)
  0.33333334 = coord(1/3)

Abstract

Portfolio analysis of the publication profile of a unit of interest, ranging from individuals and organizations to a scientific field or interdisciplinary programs, aims to inform analysts and decision makers about the position of the unit, where it has been, and where it may go in a complex adaptive environment. A portfolio analysis may aim to identify the gap between the current position of an organization and a goal that it intends to achieve or identify competencies of multiple institutions. We introduce a new visual analytic method for analyzing, comparing, and contrasting characteristics of publication portfolios. The new method introduces a novel design of dual-map thematic overlays on global maps of science. Each publication portfolio can be added as one layer of dual-map overlays over 2 related, but distinct, global maps of science: one for citing journals and the other for cited journals. We demonstrate how the new design facilitates a portfolio analysis in terms of patterns emerging from the distributions of citation threads and the dynamics of trajectories as a function of space and time. We first demonstrate the analysis of portfolios defined on a single source article. Then we contrast publication portfolios of multiple comparable units of interest; namely, colleges in universities and corporate research organizations. We also include examples of overlays of scientific fields. We expect that our method will provide new insights to portfolio analysis.

0.032115534 = product of:
  0.0963466 = sum of:
    0.0963466 = weight(_text_:interest in 2566) [ClassicSimilarity], result of:
      0.0963466 = score(doc=2566,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.38424414 = fieldWeight in 2566, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2566)
  0.33333334 = coord(1/3)

Abstract

We present a bibliometric study of a corpus of 839 bibliographic references about automatic indexing, covering the period 1956-2000. We analyse the distribution of authors and works, the obsolescence and its dispersion, and the distribution of the literature by topic, year, and source type. We conclude that: (i) there has been a constant interest on the part of researchers; (ii) the most studied topics were the techniques and methods employed and the general aspects of automatic indexing; (iii) the productivity of the authors does fit a Lotka distribution (Dmax=0.02 and critical value=0.054); (iv) the annual aging factor is 95%; and (v) the dispersion of the literature is low.

0.032115534 = product of:
  0.0963466 = sum of:
    0.0963466 = weight(_text_:interest in 3329) [ClassicSimilarity], result of:
      0.0963466 = score(doc=3329,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.38424414 = fieldWeight in 3329, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3329)
  0.33333334 = coord(1/3)

Abstract

This article studies citation practices in the arts and humanities from a theoretical and conceptual viewpoint, drawing on studies from fields like linguistics, history, library & information science, and the sociology of science. The use of references in the humanities is discussed in connection with the growing interest in the possibilities of applying citation analysis to humanistic disciplines. The study shows how the use of references within the humanities is connected to concepts of originality, to intellectual organization, and to searching and writing. Finally, it is acknowledged that the use of references is connected to stylistic, epistemological, and organizational differences, and these differences must be taken into account when applying citation analysis to humanistic disciplines.

0.032115534 = product of:
  0.0963466 = sum of:
    0.0963466 = weight(_text_:interest in 1821) [ClassicSimilarity], result of:
      0.0963466 = score(doc=1821,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.38424414 = fieldWeight in 1821, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1821)
  0.33333334 = coord(1/3)

Abstract

Applying a recently developed method for measuring the level of specialization over time for a selection of library and information science (LIS)-core journals seems to reveal that Journal of the Association for Information Science and Technology (JASIST) is slowly transforming into a specialty journal. The transformation seems to originate from a growing interest in bibliometric topics. This is evident from a longitudinal study (1990-2012) of the bibliometric coupling strength between Scientometrics and other LIS-core journals (including JASIST). The cause of this gradual transformation is discussed, and possible explanations are analyzed.

0.032115534 = product of:
  0.0963466 = sum of:
    0.0963466 = weight(_text_:interest in 3442) [ClassicSimilarity], result of:
      0.0963466 = score(doc=3442,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.38424414 = fieldWeight in 3442, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3442)
  0.33333334 = coord(1/3)

Abstract

Thomson Reuters's Web of Science (WoS) began systematically collecting acknowledgment information in August 2008. Since then, bibliometric analysis of funding acknowledgment (FA) has been growing and has aroused intense interest and attention from both academia and policy makers. Examining the distribution of FA by citation index database, by language, and by acknowledgment type, we noted coverage limitations and potential biases in each analysis. We argue that despite its great value, bibliometric analysis of FA should be used with caution.

0.029671803 = product of:
  0.08901541 = sum of:
    0.08901541 = sum of:
      0.04798827 = weight(_text_:classification in 1639) [ClassicSimilarity], result of:
        0.04798827 = score(doc=1639,freq=4.0), product of:
          0.16072905 = queryWeight, product of:
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.05046903 = queryNorm
          0.29856625 = fieldWeight in 1639, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.046875 = fieldNorm(doc=1639)
      0.04102714 = weight(_text_:22 in 1639) [ClassicSimilarity], result of:
        0.04102714 = score(doc=1639,freq=2.0), product of:
          0.17673394 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.05046903 = queryNorm
          0.23214069 = fieldWeight in 1639, 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=1639)
  0.33333334 = coord(1/3)

Abstract

We explore classifying scientific disciplines including their temporal features by focusing on their collaboration structures over time. Bibliometric data for Slovenian researchers registered at the Slovenian Research Agency were used. These data were obtained from the Slovenian National Current Research Information System. We applied a recently developed hierarchical clustering procedure for symbolic data to the coauthorship structure of scientific disciplines. To track temporal changes, we divided data for the period 1986-2010 into five 5-year time periods. The clusters of disciplines for the Slovene science system revealed 5 clusters of scientific disciplines that, in large measure, correspond with the official national classification of sciences. However, there were also some significant differences pointing to the need for a dynamic classification system of sciences to better characterize them. Implications stemming from these results, especially with regard to classifying scientific disciplines, understanding the collaborative structure of science, and research and development policies, are discussed.

Date

21. 1.2015 14:55:22

0.027527599 = product of:
  0.082582794 = sum of:
    0.082582794 = weight(_text_:interest in 4228) [ClassicSimilarity], result of:
      0.082582794 = score(doc=4228,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.3293521 = fieldWeight in 4228, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.046875 = fieldNorm(doc=4228)
  0.33333334 = coord(1/3)

Abstract

By using the data from two recent survey-based rankings of knowledge management / intellectual capital and eHealth journals, this study tests the impact of personal research interests of journal raters on their ranking scores. The rationale is that raters assign higher scores to journals that cater to their area of expertise because they are more familiar with them. The results indicate the existence of raters' bias toward the journals focusing on their preferred areas of interest, but this bias does not uniformly apply across all research topics. In some subdomains, such as intellectual capital, this bias may be very strong, whereas in others, such as soft-side knowledge management research, it may be nonexistent. Although management eHealth researchers rate management-focused journals higher than their clinical-centered counterparts, this bias does not exist among scholars favoring clinical topics. While this limitation is not fatal, the results from expert-survey journal ranking studies should be interpreted with caution.

0.02554277 = product of:
  0.076628305 = sum of:
    0.076628305 = sum of:
      0.028277358 = weight(_text_:classification in 1291) [ClassicSimilarity], result of:
        0.028277358 = score(doc=1291,freq=2.0), product of:
          0.16072905 = queryWeight, product of:
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.05046903 = queryNorm
          0.17593184 = fieldWeight in 1291, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1291)
      0.04835095 = weight(_text_:22 in 1291) [ClassicSimilarity], result of:
        0.04835095 = score(doc=1291,freq=4.0), product of:
          0.17673394 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.05046903 = queryNorm
          0.27358043 = fieldWeight in 1291, 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=1291)
  0.33333334 = coord(1/3)

Abstract

This article studies the impact of differences in citation practices at the subfield, or Web of Science subject category level, using the model introduced in Crespo, Li, and Ruiz-Castillo (2013a), according to which the number of citations received by an article depends on its underlying scientific influence and the field to which it belongs. We use the same Thomson Reuters data set of about 4.4 million articles used in Crespo et al. (2013a) to analyze 22 broad fields. The main results are the following: First, when the classification system goes from 22 fields to 219 subfields the effect on citation inequality of differences in citation practices increases from ?14% at the field level to 18% at the subfield level. Second, we estimate a set of exchange rates (ERs) over a wide [660, 978] citation quantile interval to express the citation counts of articles into the equivalent counts in the all-sciences case. In the fractional case, for example, we find that in 187 of 219 subfields the ERs are reliable in the sense that the coefficient of variation is smaller than or equal to 0.10. Third, in the fractional case the normalization of the raw data using the ERs (or subfield mean citations) as normalization factors reduces the importance of the differences in citation practices from 18% to 3.8% (3.4%) of overall citation inequality. Fourth, the results in the fractional case are essentially replicated when we adopt a multiplicative approach.

0.024986658 = product of:
  0.07495997 = sum of:
    0.07495997 = sum of:
      0.03393283 = weight(_text_:classification in 2835) [ClassicSimilarity], result of:
        0.03393283 = score(doc=2835,freq=2.0), product of:
          0.16072905 = queryWeight, product of:
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.05046903 = queryNorm
          0.21111822 = fieldWeight in 2835, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.1847067 = idf(docFreq=4974, maxDocs=44218)
            0.046875 = fieldNorm(doc=2835)
      0.04102714 = weight(_text_:22 in 2835) [ClassicSimilarity], result of:
        0.04102714 = score(doc=2835,freq=2.0), product of:
          0.17673394 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.05046903 = 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)
  0.33333334 = coord(1/3)

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.

0.022939665 = product of:
  0.068818994 = sum of:
    0.068818994 = weight(_text_:interest in 4060) [ClassicSimilarity], result of:
      0.068818994 = score(doc=4060,freq=2.0), product of:
        0.25074318 = queryWeight, product of:
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.05046903 = queryNorm
        0.27446008 = fieldWeight in 4060, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.9682584 = idf(docFreq=835, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4060)
  0.33333334 = coord(1/3)

Abstract

Although the Internet is not without its critics, many popular and academic writers are particular effusive in the praise of the WWW's interactive features. A content analysis of the formal features of 496 Web sites, drawn randomly from a sample of the top 5.000 most visited sites determined by 100hot.com, was performed to explore whether the capabilities of the WWW are being exploited by Web page designers to the extent that the literature suggests they are. Specifically, the study examines the differences between the formal features of commercial versus non-commercial sites as well as the relationship between Web page complexity and the amount of traffic a site receives. Findings indicate that, although most pages in this stage of the Web's development remain technological simple and noninteractive, there are significant relationships between site traffic and home-page structure for Web sites in the commercial (.com) as well as educational (.edu) domains. As the Web continues to expand and the amount of information redundancy increases, it is argued that a site's information packaging will become increasingly important in gaining users' attention and interest