-
Leydesdorff, L.; Bornmann, L.: How fractional counting of citations affects the impact factor : normalization in terms of differences in citation potentials among fields of science (2011)
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- Abstract
- The Impact Factors (IFs) of the Institute for Scientific Information suffer from a number of drawbacks, among them the statistics-Why should one use the mean and not the median?-and the incomparability among fields of science because of systematic differences in citation behavior among fields. Can these drawbacks be counteracted by fractionally counting citation weights instead of using whole numbers in the numerators? (a) Fractional citation counts are normalized in terms of the citing sources and thus would take into account differences in citation behavior among fields of science. (b) Differences in the resulting distributions can be tested statistically for their significance at different levels of aggregation. (c) Fractional counting can be generalized to any document set including journals or groups of journals, and thus the significance of differences among both small and large sets can be tested. A list of fractionally counted IFs for 2008 is available online at http:www.leydesdorff.net/weighted_if/weighted_if.xls The between-group variance among the 13 fields of science identified in the U.S. Science and Engineering Indicators is no longer statistically significant after this normalization. Although citation behavior differs largely between disciplines, the reflection of these differences in fractionally counted citation distributions can not be used as a reliable instrument for the classification.
- Date
- 22. 1.2011 12:51:07
-
Schubert, T.; Michels, C.: Placing articles in the large publisher nations : is there a "free lunch" in terms of higher impact? (2013)
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- Date
- 22. 3.2013 19:45:49
-
Liu, S.; Chen, C.: ¬The differences between latent topics in abstracts and citation contexts of citing papers (2013)
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- Date
- 22. 3.2013 19:50:00
-
Kuan, C.-H.; Liu, J.S.: ¬A new approach for main path analysis : decay in knowledge diffusion (2016)
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- Date
- 22. 1.2016 14:23:00
-
Folly, G.; Hajtman, B.; Nagy, J.I.; Ruff, I.: Some methodological problems in ranking scientists by citation analysis (1981)
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-
Wormell, I.: Infometrics exploring databases as analytical tools (1998)
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-
Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003)
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- Abstract
- Ahlgren, Jarneving, and. Rousseau review accepted procedures for author co-citation analysis first pointing out that since in the raw data matrix the row and column values are identical i,e, the co-citation count of two authors, there is no clear choice for diagonal values. They suggest the number of times an author has been co-cited with himself excluding self citation rather than the common treatment as zeros or as missing values. When the matrix is converted to a similarity matrix the normal procedure is to create a matrix of Pearson's r coefficients between data vectors. Ranking by r and by co-citation frequency and by intuition can easily yield three different orders. It would seem necessary that the adding of zeros to the matrix will not affect the value or the relative order of similarity measures but it is shown that this is not the case with Pearson's r. Using 913 bibliographic descriptions form the Web of Science of articles form JASIS and Scientometrics, authors names were extracted, edited and 12 information retrieval authors and 12 bibliometric authors each from the top 100 most cited were selected. Co-citation and r value (diagonal elements treated as missing) matrices were constructed, and then reconstructed in expanded form. Adding zeros can both change the r value and the ordering of the authors based upon that value. A chi-squared distance measure would not violate these requirements, nor would the cosine coefficient. It is also argued that co-citation data is ordinal data since there is no assurance of an absolute zero number of co-citations, and thus Pearson is not appropriate. The number of ties in co-citation data make the use of the Spearman rank order coefficient problematic.
- Date
- 9. 7.2006 10:22:35
-
Mulkay, M.J.: Sociology of the scientific research community (1977)
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- Source
- Science, technology and society: a cross-disciplinary perspective. Ed: I. Spiegel-Rosing u. D. de Solla Price
-
Epifanio, I.: Mapping the asymmetrical citation relationships between journals by h-plots (2014)
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- Abstract
- I propose the use of h-plots for visualizing the asymmetric relationships between the citing and cited profiles of journals in a common map. With this exploratory tool, we can understand better the journal's dual roles of citing and being cited in a reference network. The h-plot is introduced and its use is validated with a set of 25 journals belonging to the statistics area. The relatedness factor is considered for describing the relations of citations from a journal "i" to a journal "j," and the citations from the journal "j" to the journal "i." More information has been extracted from the h-plot, compared with other statistical techniques for modelling and representing asymmetric data, such as multidimensional unfolding.
-
Tanaka, M.: Domain analysis of computational science : fifty years of a scientific computing group
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- Abstract
- I employed bibliometric and historical methods to study the domain of the Scientific Computing group at Brookhaven National Laboratory (BNL) for an extended period of fifty years, from 1958 to 2007. I noted and confirmed the growing emergence of interdisciplinarity within the group. I also identified a strong, consistent mathematics and physics orientation within it.
-
Nicholls, P.T.: Empirical validation of Lotka's law (1986)
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- Source
- Information processing and management. 22(1986), S.417-419
-
Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
-
Fiala, J.: Information flood : fiction and reality (1987)
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- Source
- Thermochimica acta. 110(1987), S.11-22
-
Tonta, Y.; Ünal, Y.: Scatter of journals and literature obsolescence reflected in document delivery requests (2005)
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- Abstract
- In this paper we investigate the scattering of journals and literature obsolescence reflected in more than 137,000 document delivery requests submitted to a national document delivery service. We first summarize the major findings of the study with regards to the performance of the service. We then identify the "core" journals from which article requests were satisfied and address the following research questions: (a) Does the distribution of (core) journals conform to the Bradford's Law of Scattering? (b) Is there a relationship between usage of journals and impact factors, journals with high impact factors being used more often than the rest? (c) Is there a relationship between usage of journals and total citation counts, journals with high total citation counts being used more often than the rest? (d) What is the median age of use (half-life) of requested articles in general? (e) Do requested articles that appear in core journals get obsolete more slowly? (f) Is there a relationship between obsolescence and journal impact factors, journals with high impact factors being obsolete more slowly? (g) Is there a relationship between obsolescence and total citation counts, journals with high total citation counts being obsolete more slowly? Based an the analysis of findings, we found that the distribution of highly and moderately used journal titles conform to Bradford's Law. The median age of use was 8 years for all requested articles. Ninety percent of the articles requested were 21 years of age or younger. Articles that appeared in 168 core journal titles seem to get obsolete slightly more slowly than those of all titles. We observed no statistically significant correlations between the frequency of journal use and ISI journal impact factors, and between the frequency of journal use and ISI- (Institute for Scientific Information, Philadelphia, PA) cited half-lives for the most heavily used 168 core journal titles. There was a weak correlation between usage of journals and ISI-reported total citation counts. No statistically significant relationship was found between median age of use and journal impact factors and between median age of use and total citation counts. There was a weak negative correlation between ISI journal impact factors and cited half-lives of 168 core journals, and a weak correlation between ISI citation halflives and use half-lives of core journals. No correlation was found between cited half-lives of 168 core journals and their corresponding total citation counts as reported by ISI. Findings of the current study are discussed along with those of other studies.
- Date
- 20. 3.2005 10:54:22
-
Su, Y.; Han, L.-F.: ¬A new literature growth model : variable exponential growth law of literature (1998)
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- Date
- 22. 5.1999 19:22:35
-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
-
Diodato, V.: Dictionary of bibliometrics (1994)
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- Footnote
- Rez. in: Journal of library and information science 22(1996) no.2, S.116-117 (L.C. Smith)
-
Bookstein, A.: Informetric distributions : II. Resilience to ambiguity (1990)
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- Date
- 22. 7.2006 18:55:55
-
Schwendtke, A.: Wissenschaftssystematik und Scientometrologie (1979)
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- Source
- Klassifikation und Erkenntnis I. Proc. der Plenarvorträge und der Sektion 1 "Klassifikation und Wissensgewinnung" der 3. Fachtagung der Gesellschaft für Klassifikation, Königstein/Ts., 5.-6.4.1979
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Abbasi, M. K.; Frommholz, I.: Cluster-based polyrepresentation as science modelling approach for information retrieval (2015)
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