Corpus relevance through co-word analysis: An application to plant proteints

Looze, Marie-Angèle de; Lemarié, Juliette

doi:10.1007/bf02458530

Cited by 45 publications

(24 citation statements)

References 10 publications

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“…Tian et al (2008) used the Institute for Scientific Information (ISI) database to measure scientific output of the field of Geographic Information System (GIS) using keywords. Similar approaches have been made to map knowledge evolution in other fields, such as software engineering (Coulter et al 1998), chemistry (Callon et al 1991), scientometrics (Courtial 1994), neural network research (Noyons and Van Raan 1998;Van Raan and Tijssen 1993), biological safety (Cambrosio et al 1993), optomechatronics (Noyons and Van Raan 1994), bioeletronics (Hinze 1994), adverse drug reactions (Rikken et al 1995;Clarke et al 2007), biotechnology (Rip and Courtial 1984;De Looze and Lemarié 1997), environmental science (Ho 2007), condensed matter physics (Bhattacharya and Basu 1998), severe acute respiratory syndrome (SARS), tsunami (Chiu et al 2004;Chiu and Ho 2007), and Parkinson's disease (Li et al 2008).…”

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confidence: 93%

Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

2010

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This study proposes an approach for visualizing a knowledge structure, the proposed approach creates a three-dimensional ''Research focused parallelship network'', a ''Keyword Co-occurrence Network'', and a two-dimensional knowledge map to facilitate visualization of the knowledge structure created by journal papers from different perspectives. The networks and knowledge maps can be depicted differently by choosing different information as the network actor, e.g. author, institute or country keyword, to reflect knowledge structures in micro-, meso-, and macro-levels, respectively. Technology Foresight is selected as an example to illustrate the method proposed in this study. A total of 556 author keywords contained in 181 Technology Foresight related papers have been analyzed. European countries, China, India and Brazil are located at the core of Technology Foresight research. Quantitative ways of mapping journal papers are investigated in this study to unveil emerging elements as well as to demonstrate dynamics and visualization of knowledge. The quantitative method provided in this paper shows a possible way of visualizing and evaluating knowledge structure; thus a computerized calculation is possible for potential quantitative applications, e.g. R&D resource allocation, research performance evaluation, science map, etc.

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mentioning

confidence: 93%

Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

2010

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“…Co-word analysis has been used in many scientific fields, e.g. frankenfoods and stem cells (Leydesdorff & Hellsten, 2006), Chinese herbal drugs (Li et al, 2009), ecology evolution (Neff & Corley, 2009), plant proteins (Looze & Lemarie, 1997), social sciences and humanities (Archambault & Gagne, 2004), etc. In our study, the similarity measure of MeSH terms is expressed by cosine coefficients calculated on the basis of co-occurrence matrix (Leydesdorff & Hellsten, 2006;Leydesdorff & Vaughan, 2006).…”

Section: Methodsmentioning

confidence: 99%

Characteristics and popular topics of latest researches into the effects of air particulate matter on cardiovascular system by bibliometric analysis

Jia¹,

Guo²,

Li³

et al. 2013

Inhalation Toxicology

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In recent years, many epidemiological and toxicological studies have investigated the adverse effects of air particulate matter (PM) on the cardiovascular system. However, it is difficult for the researchers to have a timely and effective overall command of the latest characteristics and popular topics in such a wide field. Different from the previous reviews, in which the research characteristics and trends are empirically concluded by experts, we try to have a comprehensive evaluation of the above topics for the first time by bibliometric analysis, a quantitative tool in information exploration. This study aims to introduce the bibliometric method into the field of PM and cardiovascular system. The articles were selected by searching PubMed/MEDLINE (from 2007 to 2012) using Medical Subject Headings (MeSH) terms "particulate matter" and "cardiovascular system". A total of 935 eligible articles and 1895 MeSH terms were retrieved and processed by the software Thomson Data Analyzer (TDA). The bibliographic information and the MeSH terms of these articles were classified and analyzed to summarize the research characteristics. The top 200 high-frequency MeSH terms (the cumulative frequency percentage was 74.2%) were clustered for popular-topic conclusion. We summarized the characteristics of published articles, of researcher collaborations and of the contents. Ten clusters of MeSH terms are presented. Six popular topics are concluded and elaborated for reference. Our study presents an overview of the characteristics and popular topics in the field of PM and cardiovascular system in the past five years by bibliometric tools, which may provide a new perspective for future researchers.

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“…Tian et al [8] used Institute for Scientific Information (ISI) database to measure scientific output of the field of Geographic Information System (GIS) by using keywords. Similar approaches have been made to map knowledge evolution in other fields, such as software engineering [9], chemistry [10], scientometrics [11], neural network research [12] [13], biological safety [14], optomechatronics [15], bioeletronics [16], adverse drug reactions [17] [18], biotechnology [19] [20], environmental science [21], condensed matter physics [22], etc., and even this keywordbased analysis has been applied to investigation of a phenomenon or a more specific topic such as severe acute respiratory syndrome (SARS) and tsunami [23] [24], and Parkinson's disease [25].…”

Section: A Mapping Knowledge Evolution By Bibliometric Analysismentioning

confidence: 99%

Dynamic and quantitative exploration on technology evolution mechanism: The case of electrical conducting polymer nanocomposite

Lee

2009

PICMET '09 - 2009 Portland International Conference on Management of Engineering &Amp; Technology

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This study aims to obtain global overview on electrical conducting polymer nanocomposite development along time horizon as well as to obtain dynamic and quantitative exploration on technology evolution mechanism, a total of 1421 electrical conducting polymer related nanocomposite patents are retrieved from USPTO patent database and patent citation network is generated by combing both patent citation and social network analysis. A patent citation network can therefore be visually obtained and network properties, e.g. degree centrality, betweenness centrality, closeness centrality, representing several technology evolution mechanisms are calculated. Each patent can be positioned at a specific location of the patent citation network and technology evolution mechanisms for each patent can be quantitatively analyzed.

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Corpus relevance through co-word analysis: An application to plant proteints

Cited by 45 publications

References 10 publications

Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

Characteristics and popular topics of latest researches into the effects of air particulate matter on cardiovascular system by bibliometric analysis

Dynamic and quantitative exploration on technology evolution mechanism: The case of electrical conducting polymer nanocomposite

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