Citation context analysis and aging patterns of journal articles in molecular genetics

McCain, Katherine W.; Turner, Kathleen

doi:10.1007/bf02017729

Cited by 89 publications

(77 citation statements)

References 27 publications

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“…When comparing the low/high IFs and cited-half-life, genetic and molecular biology journals (e.g., Proteomics, Bioinformatics, and Genome Biology) showed high IFs and short life spans (Cunningham, 1995;McCain & Turner, 1989) (Cunningham, 1995). To better analyze the relationships between journal life spans and the IFs of the journals, the disciplinary categories to which they belonged as well as the IF (5) …”

Section: Citation Patterns In Bioinformatics Journalsmentioning

confidence: 98%

Citation characterization and impact normalization in bioinformatics journals

Huang¹,

Andrews²,

Tang³

2011

J. Am. Soc. Inf. Sci.

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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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Section: Citation Patterns In Bioinformatics Journalsmentioning

confidence: 98%

Citation characterization and impact normalization in bioinformatics journals

Huang¹,

Andrews²,

Tang³

2011

J. Am. Soc. Inf. Sci.

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“…This structure reflects the progression of most research projects (Doumont, 2010), facilitates more effective and efficient use of research articles, and has been recommended by many style manuals and required by most scientific journals (McCain & Turner, 1989). Bertram (1972) suggested that citation level or significance is predictable through the identification of the section of the article in which a citation appears.…”

Section: Research Papermentioning

confidence: 99%

Functions of Uni- and Multi-citations: Implications for Weighted Citation Analysis

Zhao

Cappello

Johnston

2017

Journal of Data and Information Science

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Purpose: (1) To test basic assumptions underlying frequency-weighted citation analysis: (a) Uni-citations correspond to citations that are nonessential to the citing papers; (b) The influence of a cited paper on the citing paper increases with the frequency with which it is cited in the citing paper. (2) To explore the degree to which citation location may be used to help identify nonessential citations. Findings: Filtering out nonessential citations before assigning weight is important for frequency-weighted citation analysis. For this purpose, removing citations by location is more effective than re-citation analysis that simply removes uni-citations. Removing all citation occurrences in the Background and Literature Review sections and uni-citations in the Introduction section appears to provide a good balance between filtration and error rates. Research limitations:This case study suffers from the limitation of scalability and generalizability. We took careful measures to reduce the impact of other limitations of the data collection approach used. Relying on the researcher's judgment to attribute citation functions, this approach is unobtrusive but speculative, and can suffer from a low degree of confidence, thus creating reliability concerns. Practical implications:Weighted citation analysis promises to improve citation analysis for research evaluation, knowledge network analysis, knowledge representation, and information retrieval. The present study showed the importance of filtering out nonessential citations before assigning weight in a weighted citation analysis, which may be a significant step forward to realizing these promises.

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“…These three reasons are just some of those suggested in what is probably the first such classification (Garfield, 1965). When an individual publication is being analysed, a classification scheme may be designed that is specific to that publication: examples of this approach include studies of books on software engineering (McCain and Salvucci, 2006) and on strategic management (Anderson, 2006) and of articles on molecular biology (Ahmed et al, 2004;McCain and Turner, 1989), organizational theory (Anderson and Sun, 2010;Lounsbury and Carberry, 2005;Mizruchi and Fein, 1999) and neuropharmacology and the sociology of science (Cozzens, 1985). Other classification schemes have been developed for analyzing citations to the works of an individual author (Brittain, 2000) and to an individual journal (Spiegel-Rosing, 1977) or, most commonly, for use across the whole range of subjects and types of publication (Bonzi and Snyder, 1991;Cano, 1989;Case and Higgins, 2000;Chubin and Moitra, 1975;Meho and Sonnenwald, 2000;Moravesik and Murugesan, 1975;Oppenheim and Renn, 1978;Peritz, 1983;Shadish et al, 1995;Vinkler, 1987).…”

Section: Classifications Of Citer Motivationsmentioning

confidence: 99%

Readers' perceptions of authors' citation behaviour

Willett

2013

Journal of Documentation

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Purpose -The aim of this paper is to determine the extent to which readers perceive correctly the reasons why authors cite items in scholarly texts. Design/methodology/approach -The authors of ten library and information science articles provided the reasons for citing material in their articles and these reasons were compared with those suggested independently by readers of the articles. Findings -Readers are able to perceive correctly author reasons for citation only to a very limited extent.Research limitations/implications -Limitations are a small sample of ten articles and 45 reader assessments of those articles, and the use of a single classification of reasons for citation. Practical implications -The findings call into question techniques such as citation context analysis that are based on the assumption that readers understand the reasons why authors cite material. Originality/value -This is the first attempt to compare author and reader reasons for citation and hence to validate the use of citation context analysis.

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Citation context analysis and aging patterns of journal articles in molecular genetics

Cited by 89 publications

References 27 publications

Citation characterization and impact normalization in bioinformatics journals

Citation characterization and impact normalization in bioinformatics journals

Functions of Uni- and Multi-citations: Implications for Weighted Citation Analysis

Readers' perceptions of authors' citation behaviour

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