Ethics and dementia: mapping the literature by bibliometric analysis

Baldwin, Clive; Hughes, Julian C.; Hope, Tony; Jacoby, Robin; Ziébland, Sue

doi:10.1002/gps.770

Cited by 54 publications

(63 citation statements)

References 29 publications

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“…Ding et al (2001) mapped information retrieval research using co-word analysis on papers collected from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) for the period of 1987-1997. Baldwin et al (2003) mapped ethics and dementia research using keywords. 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.…”

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confidence: 99%

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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confidence: 99%

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

2010

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“…Ding et al [6]mapped information retrieval research by using co-word analysis on papers collected from Science Citation Index (SCI) and Social Science Citation Index (SSCI) for the period of 1987-1997. Baldwin et al [7] mapped ethics and dementia research by using keywords. 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.…”

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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“…The resulting clusters are said to represent themes or concepts in the literature. Co-word analysis has been used to analyze the interactions between basic and technological research (Callon et al 1991), map knowledge evolution in the filed of scientometrics (Courtial 1994), study the software engineering field (Coulter et al 1998), the information research field (Ding et al 2001), the ethics and dementia research (Baldwin et al 2003), the Geographic Information System field (Tian et al 2008), the Spanish FST field (López-Herrera et al 2009), to study the hybridization of the FST field with other computational intelligence techniques (and fields) (López-Herrera et al 2010), among others applications. However, with the extensive applications of co-word analysis, problems of this method have become increasingly evident, and begun to be identified by researchers.…”

Section: Introductionmentioning

confidence: 99%

Research on the semantic-based co-word analysis

Wang

et al. 2011

Scientometrics

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Through analysis of problems of keywords and indexes used in co-word analysis, we find that the key to solving these problems is to integrate experts' knowledge into co-word analysis. Therefore, this paper proposes a new co-word analysis: semanticbased co-word analysis which can integrate experts' knowledge into co-word analysis effectively. The performance of this method has been proved to be very good. It can solve problems on keywords and indexes used in co-word analysis effectively and can improve

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Ethics and dementia: mapping the literature by bibliometric analysis

Abstract: During the period 1980-2000 the research literature has been dominated by surveys and studies soliciting views on predefined issues with relatively few in-depth, open-ended qualitative studies.

Cited by 54 publications

References 29 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

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

Research on the semantic-based co-word analysis

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