Are you an invited speaker? A bibliometric analysis of elite groups for scholarly events in bioinformatics

Jeong, Senator; Lee, Sungin; Kim, Hong-Gee

doi:10.1002/asi.21056

Cited by 17 publications

(9 citation statements)

References 32 publications

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“…Bibliometric analysis has been used in various analyses of the citation patterns of authors (Cronin & Overfelt, 1993; Jeong, Lee, & Kim, 2009; Lin, White, & Buzydlowski, 2003; Yan & Ding, 2010; Zhao & Strotmann, 2011) as well as of journal articles (Moed, 2005). Garfield's (1955) citation impact factor (IF) has been widely used in the assessment of journal quality.…”

Section: Introductionmentioning

confidence: 99%

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: Introductionmentioning

confidence: 99%

Citation characterization and impact normalization in bioinformatics journals

Huang¹,

Andrews²,

Tang³

2011

J. Am. Soc. Inf. Sci.

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“…A scholar's prominence, based on the instances of SEDE, can be deduced from their total number of elite group memberships (committee chairs and members, invited speaker, session chair) in scholarly events [34].…”

Section: Academic Performance Evaluationmentioning

confidence: 99%

SEDE: An ontology for scholarly event description

Jeong

Kim

2010

Journal of Information Science

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Scholarly events are important scientific communication channels. Our research goal is to satisfy scientists' basic information needs by collecting, archiving and providing access to scholarly event information. Furthermore, we aim to satisfy users' in-depth information needs by excavating scholarly meaningful information through reasoning about knowledge. A prerequisite to accomplishing this end is to define a description base for scholarly events to enable software agents to crawl and extract scholarly event data, and to facilitate unified access to this data. The collected data may then be mined for non-obvious knowledge. We present the design and implementation of an ontology for scholarly event description (SEDE) to achieve the research goal, and the application use case scenarios in scholarly event information space. The scenarios presented highlight the characteristics of the SEDE ontology.

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“…Other studies stress that proceedings have greater importance than articles in knowledge transfer (Glänzel et al 2006;Godin 1998;Lisée and Larivière 2008;Matsuo et al 2003). Actually, in biomedical informatics the most current scholarly work tends to appear in events for more rapid knowledge dissemination (Jeong et al 2009).…”

Section: Research Source Datamentioning

confidence: 99%

Intellectual structure of biomedical informatics reflected in scholarly events

Jeong

Kim

2010

Scientometrics

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The purpose of this paper was to analyze the intellectual structure of biomedical informatics reflected in scholarly events such as conferences, workshops, symposia, and seminars. As analysis variables, 'call for paper topics', 'session titles' and author keywords from biomedical informatics-related scholarly events, and the MeSH descriptors were combined. As analysis cases, the titles and abstracts of 12,536 papers presented at five medical informatics (MI) and six bioinformatics (BI) global scale scholarly event series during the years 1999-2008 were collected. Then, n-gram terms (MI = 6,958; BI = 5,436) from the paper corpus were extracted and the term co-occurrence network was analyzed. One hundred important topics for each medical informatics and bioinformatics were identified through the hub-authority metric, and their usage contexts were compared with the k-nearest neighbor measure. To research trends, newly popular topics by 2-year period units were observed. In the past 10 years the most important topic in MI has been ''decision support'', while in BI ''gene expression''. Though the two communities share several methodologies, according to our analysis, they do not use them in the same context. This evidence suggests that MI uses technologies for the improvement of productivity in clinical settings, while BI uses algorithms as its tools for scientific biological discovery. Though MI and BI are arguably separate research fields, their topics are increasingly intertwined, and the gap between the fields blurred, forming a broad informatics-namely biomedical informatics. Using scholarly events as data sources for domain analysis is the closest way to approximate the forefront of biomedical informatics.

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Are you an invited speaker? A bibliometric analysis of elite groups for scholarly events in bioinformatics

Cited by 17 publications

References 32 publications

Citation characterization and impact normalization in bioinformatics journals

Citation characterization and impact normalization in bioinformatics journals

SEDE: An ontology for scholarly event description

Intellectual structure of biomedical informatics reflected in scholarly events

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