Abstract:This study examined the relationship between journal productivity and journal obsolescence for a database of references from articles dealing with desalination. Although these two variables have often been studied in isolation, no previous studies have examined their interaction within a single subject literature. It was hypothesized that those journals that were most productive would, on the average, have relatively short active lives, and that as journal productivity decreased, the average active lives of th… Show more
“…They observed that as thermoluminescent dosimetry literature grew it became increasingly scattered in terms of the number of contributing journals and that the rate, in terms of median citation age, of obsolescence decrease. WALLACE [1985] examined the relationship between journal productivity and journal obsolescence. After conducting a statistical test, he found that "highly productive journals did tend to have low journal median citation ages, and that high journal median citation ages were always associated with journals that were unproductive in terms of the number of references to those journals in the database."…”
By employing the Pearson correlation, Fisher-and t-tests, the present study analyzes and compares scientometric data including number of source items, number of citations, impact factor, immediacy index, citing half-life and cited half-life, for essential journals in physics, chemistry and engineering, from SCI JCR on the Web 2002. The results of the study reveal that for all the scientometric indicators, except the cited half-life, there is no significant mean difference between physics and chemistry subjects indicating similar citation behavior among the scientists. There is no significant mean difference in the citing half-life among the three subjects. Significant mean difference is generally observed for most of the scientometric indicators between engineering and physics (or chemistry) demonstrating the difference in citation behavior among engineering researchers and scientists in physics or chemistry.Significant correlations among number of source items, number of citations, impact factor, and immediacy index and between cited half-life and citing half-life generally prevail for each of the three subjects. On the contrary, in general, there is no significant correlation between the cited half-life and other scientometric indicators. The three subjects present the same strength of the correlations between number of source items and number of citations, between number of citations and impact factor, and between cited half-life and citing half-life.
“…They observed that as thermoluminescent dosimetry literature grew it became increasingly scattered in terms of the number of contributing journals and that the rate, in terms of median citation age, of obsolescence decrease. WALLACE [1985] examined the relationship between journal productivity and journal obsolescence. After conducting a statistical test, he found that "highly productive journals did tend to have low journal median citation ages, and that high journal median citation ages were always associated with journals that were unproductive in terms of the number of references to those journals in the database."…”
By employing the Pearson correlation, Fisher-and t-tests, the present study analyzes and compares scientometric data including number of source items, number of citations, impact factor, immediacy index, citing half-life and cited half-life, for essential journals in physics, chemistry and engineering, from SCI JCR on the Web 2002. The results of the study reveal that for all the scientometric indicators, except the cited half-life, there is no significant mean difference between physics and chemistry subjects indicating similar citation behavior among the scientists. There is no significant mean difference in the citing half-life among the three subjects. Significant mean difference is generally observed for most of the scientometric indicators between engineering and physics (or chemistry) demonstrating the difference in citation behavior among engineering researchers and scientists in physics or chemistry.Significant correlations among number of source items, number of citations, impact factor, and immediacy index and between cited half-life and citing half-life generally prevail for each of the three subjects. On the contrary, in general, there is no significant correlation between the cited half-life and other scientometric indicators. The three subjects present the same strength of the correlations between number of source items and number of citations, between number of citations and impact factor, and between cited half-life and citing half-life.
“…Bradford's Law has been extensively explored by Fairthorne (1969), Brookes (1977), Leimkuhler (1980), Wallace (1986), Nicolaisen and Hjorland (2007), and others. Drott (1981) commented specifically on the generality of the application of Bradford's Law to scientific literatures:…”
“…Article life span is represented by the obsolescence indicator such as cited-half-life (Avramescu, 1979;Egghe & Rousseau, 2000a, 2000bLarivière, Archambault, & Gingras, 2008;Nicholas et al, 2005;Tona & Al, 2006;Tsay, 1998;Wallace, 1986). The normalization of citation frequency over the course of time is necessary (Kuo & Rupe, 2007;Yu, Yang, & Liang, 2010), especially for journals in modern fields of science with short article life spans, such as biology.…”
Bioinformatics journals publish research findings of intellectual synergies among subfields such as biology, mathematics, and computer science. The objective of this study is to characterize the citation patterns in bioinformatics journals and their correspondent knowledge subfields. Our study analyzed bibliometric data (impact factor, cited-half-life, and references-per-article) of bioinformatics journals and their related subfields collected from the Journal Citation Reports (JCR). The findings showed that bioinformatics journals' citations are field-dependent, with scattered patterns in article life span and citing propensity. Bioinformatics journals originally derived from biology-related subfields have shorter article life spans, more citing on average, and higher impact factors.Those journals, derived from mathematics and statistics, demonstrate converse citation patterns. Journal impact factors were normalized, taking into account the impacts of article life spans and citing propensity. A comparison of these normalized factors to JCR journal impact factors showed rearrangements in the ranking orders of a number of individual journals, but a high overall correlation with JCR impact factors.
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