Citation characterization and impact normalization in bioinformatics journals

Huang, Hong; Andrews, James E.; Tang, Jiang

doi:10.1002/asi.21707

Cited by 23 publications

(18 citation statements)

References 57 publications

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“…The experimental results show that Bioinformatics is fast-growing, dynamic and diversified which confirms the findings by Huang et al (2011) and Bansard et al (2007). In addition, we have gained interesting findings from the experimental results.…”

Section: Resultssupporting

confidence: 89%

“…Their study shows that Bioinformatics and Medical Informatics are independent developments with limited overlaps although both undergo fast changes and apply advanced computer techniques to processing massive biological data. Huang et al (2011) analyzed the citation patterns in bioinformatics journals by normalizing the journal impact factor available in Journal Citation Report (JCR) published by Thomson Reuters. Glänzel at al.…”

Section: Introductionmentioning

confidence: 99%

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Detecting evolution of bioinformatics with a content and co-authorship analysis

2013

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Bioinformatics is an interdisciplinary research field that applies advanced computational techniques to biological data. Bibliometrics analysis has recently been adopted to understand the knowledge structure of a research field by citation pattern. In this paper, we explore the knowledge structure of Bioinformatics from the perspective of a core open access Bioinformatics journal, BMC Bioinformatics with trend analysis, the content and co-authorship network similarity, and principal component analysis. Publications in four core journals including Bioinformatics – Oxford Journal and four conferences in Bioinformatics were harvested from DBLP. After converting publications into TF-IDF term vectors, we calculate the content similarity, and we also calculate the social network similarity based on the co-authorship network by utilizing the overlap measure between two co-authorship networks. Key terms is extracted and analyzed with PCA, visualization of the co-authorship network is conducted. The experimental results show that Bioinformatics is fast-growing, dynamic and diversified. The content analysis shows that there is an increasing overlap among Bioinformatics journals in terms of topics and more research groups participate in researching Bioinformatics according to the co-authorship network similarity.Electronic supplementary materialThe online version of this article (doi:10.1186/2193-1801-2-186) contains supplementary material, which is available to authorized users.

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Section: Resultssupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Detecting evolution of bioinformatics with a content and co-authorship analysis

2013

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“…The analysis shows an increase in the number of references over time, accompanying the trend seen in branches of Biochemistry, where the average number of references per article increased from 28.8 in 1970 to 37.0 in 1985 [24]; of Biodiversity, where the average rose from 40.1 references per article in 2000 to 45.6 in 2009 [21]; and Bioinformatics, where average references per article varied between 22.4 and 50.9 in 32 journals in 2007 [25]. The number of references per article is high in Evolutionary Biology and, although growth does not occur indefinitely, it is difficult to predict a saturation phase based on the results, eliminating the possibility of a maximum reference limit [26].…”

Section: Nationality and Internationality Of Referencesmentioning

confidence: 99%

Internationality of Publications, Co-Authorship, References and Citations in Brazilian Evolutionary Biology

2016

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Abstract:The international dimensions of contemporary science have significantly impacted production and use patterns of scientific knowledge, which, in turn, requires new insights of librarians, publishers and academic institutions. Despite the recognized importance of internationality in science, studies on the internationalization of scientific output are still limited and dedicated exclusively to analyzing of its diffusion and international collaboration. This study analyzes the national/international character of articles, international collaboration, references and citations of Brazilian scientific output in Evolutionary Biology in order to understand the contribution to the internationalization of science in Brazil. Analyses are based on data from the Science Citation Index of Web of Science and include 1450 articles, 60,454 references and 18,059 citing documents. Results reveal similar internationality patterns, with 99.6% of articles published in foreign journals, 90.5% international references, and 88.5% international citations. Despite recording the lowest value among the indicators (51.9%), international collaboration surpasses the national and international average and is an important characteristic in the field in Brazil, contributing to increasing the number of references and the impact of articles. Evolutionary Biology is considered a predominantly international field, whose internationality patterns increase the audience for the studies and provide greater visibility for Brazilian science.

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“…PubMed Central (PMC) was chosen as a source for bioinformatics articles. First, key journals in bioinformatics were identified, based on criteria provided by Huang et al (2012). An additional set of journal-selection criteria was applied, resulting in the inclusion of: (1) The International Society of Computational Biology (http://www.iscb.org/iscb-publications-journals), (2) the bioinformatics journal list on Wikipedia (http://en.wikipedia.org/wiki/List of bioinformatics journals), and (3) the Mathematical and Computational Biology section in the Web of Science's Science Journal Citation Reports (SJCR).…”

Section: Datamentioning

confidence: 99%