Search (272 results, page 1 of 14)

  • × theme_ss:"Informetrie"
  1. Burrell, Q.L.: Predicting future citation behavior (2003) 0.05
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    Date
    29. 3.2003 19:22:48
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.372-378
    Year
    2003
  2. Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003) 0.04
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    Date
    29. 3.2003 19:52:23
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.400-412
    Year
    2003
  3. Morris, S.A.; Yen, G.; Wu, Z.; Asnake, B.: Time line visualization of research fronts (2003) 0.04
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    Date
    29. 3.2003 19:51:59
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.413-422
    Year
    2003
  4. Small, H.: Paradigms, citations, and maps of science : a personal history (2003) 0.03
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    Date
    29. 3.2003 19:33:36
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.394-399
    Year
    2003
  5. Leydesdorff, L.: Can networks of journal-journal citations be used as indicators of change in the social sciences? (2003) 0.03
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    Date
    6.11.2005 19:02:22
    Source
    Journal of documentation. 59(2003) no.1, S.84-104
    Year
    2003
  6. Vaughan, L.; Thelwall, M.: Scholarly use of the Web : what are the key inducers of links to journal Web sites? (2003) 0.03
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.1, S.29-38
    Year
    2003
  7. Brown, C.: ¬The role of electronic preprints in chemical communication : analysis of citation, usage, and acceptance in the journal literature (2003) 0.03
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    Date
    29. 3.2003 19:23:05
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.362-371
    Year
    2003
  8. White, H.D.: Pathfinder networks and author cocitation analysis : a remapping of paradigmatic information scientists (2003) 0.03
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    Date
    29. 3.2003 19:55:24
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.423-434
    Year
    2003
  9. Burrell, Q.L.: "Type/Token-Taken" informetrics : Some comments and further examples (2003) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1260-1263
    Year
    2003
  10. Wolfram, D.: Applied informetrics for information retrieval research (2003) 0.02
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    Year
    2003
  11. González, L.; Campanario, J.M.: Structure of the impact factor of journals included in the Social Sciences Citation Index : citations from documents labeled "Editorial Material" (2007) 0.02
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    Abstract
    We investigated how citations from documents labeled by the Institute for Scientific Information (ISI) as "editorial material" contribute to the impact factor of academic journals in which they were published. Our analysis is based on records corresponding to the documents classified by the ISI as editorial material published in journals covered by the Social Sciences Citation Index between 1999 and 2003 (50,273 records corresponding to editorial material published in 2,374 journals). The results appear to rule out widespread manipulation of the impact factor by academic journals publishing large amounts of editorial material with many citations to the journal itself as a strategy to increase the impact factor.
    Date
    3. 3.2007 18:29:17
  12. Song, M.; Kim, S.Y.; Zhang, G.; Ding, Y.; Chambers, T.: Productivity and influence in bioinformatics : a bibliometric analysis using PubMed central (2014) 0.02
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    Abstract
    Bioinformatics is a fast-growing field based on the optimal use of "big data" gathered in genomic, proteomics, and functional genomics research. In this paper, we conduct a comprehensive and in-depth bibliometric analysis of the field of bioinformatics by extracting citation data from PubMed Central full-text. Citation data for the period 2000 to 2011, comprising 20,869 papers with 546,245 citations, was used to evaluate the productivity and influence of this emerging field. Four measures were used to identify productivity; most productive authors, most productive countries, most productive organizations, and most popular subject terms. Research impact was analyzed based on the measures of most cited papers, most cited authors, emerging stars, and leading organizations. Results show the overall trends between the periods 2000 to 2003 and 2004 to 2007 were dissimilar, while trends between the periods 2004 to 2007 and 2008 to 2011 were similar. In addition, the field of bioinformatics has undergone a significant shift, co-evolving with other biomedical disciplines.
    Date
    29. 1.2014 16:40:41
  13. Leydesdorff, L.; Bornmann, L.; Wagner, C.S.: ¬The relative influences of government funding and international collaboration on citation impact (2019) 0.02
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    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
  14. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.02
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    Date
    9. 7.2006 10:22:35
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.6, S.549-568
    Year
    2003
  15. Huber, J.C.; Wagner-Döbler, R.: Using the Mann-Whitney test on informetric data (2003) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.798-801
    Year
    2003
  16. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.02
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    Date
    22. 7.2006 18:55:29
  17. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.02
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    Abstract
    This article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature. The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization. A specialty is conceptualized and visualized as a time-variant duality between two fundamental concepts in information science: research fronts and intellectual bases. A research front is defined as an emergent and transient grouping of concepts and underlying research issues. The intellectual base of a research front is its citation and co-citation footprint in scientific literature - an evolving network of scientific publications cited by research-front concepts. Kleinberg's (2002) burst-detection algorithm is adapted to identify emergent research-front concepts. Freeman's (1979) betweenness centrality metric is used to highlight potential pivotal points of paradigm shift over time. Two complementary visualization views are designed and implemented: cluster views and time-zone views. The contributions of the approach are that (a) the nature of an intellectual base is algorithmically and temporally identified by emergent research-front terms, (b) the value of a co-citation cluster is explicitly interpreted in terms of research-front concepts, and (c) visually prominent and algorithmically detected pivotal points substantially reduce the complexity of a visualized network. The modeling and visualization process is implemented in CiteSpace II, a Java application, and applied to the analysis of two research fields: mass extinction (1981-2004) and terrorism (1990-2003). Prominent trends and pivotal points in visualized networks were verified in collaboration with domain experts, who are the authors of pivotal-point articles. Practical implications of the work are discussed. A number of challenges and opportunities for future studies are identified.
    Date
    22. 7.2006 16:11:05
  18. Burrell, Q.L.: Fitting Lotka's law : some cautionary observations on a recent paper by Newby et al. (2003) (2004) 0.02
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  19. Chen, C.; Kuljis, J.: ¬The rising landscape : a visual exploration of superstring revolutions in physics (2003) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.435-446
    Year
    2003
  20. Cronin, B.; Shaw, D.; LaBarre, K.: ¬A cast of thousands : Coauthorship and subauthorship collaboration in the 20th century as manifested in the scholarly journal literature of psychology and philosophy (2003) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.9, S.855-871
    Year
    2003

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