Research involving women and health in the Medline database, 1965–2005: co-term analysis and visualization of main lines of research

Zulueta, María Ángeles; Cantos-Mateos, Gisela; Vargas-Quesada, Benjamín; Sanchez, Carmen María

doi:10.1007/s11192-011-0455-1

Cited by 8 publications

(5 citation statements)

References 40 publications

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“…In the light of previous experience involving keyword frequency and links (Zulueta et al, 2011;Cantos-Mateos et al, 2012Muñoz-Écija et al, 2017), we tagged each cluster, obtaining what would be the seven lines of research that support the knowledge structure of graphene research worldwide: Fundamental Research, Functionalization and Biomedical App lications, Technology and Devices, Materials Science, Energy Storage, Optics, and Chemical Properties and Sensors. According to the clustering algorithm used, the order of the clusters or research lines is determined by their number of keywords.…”

Section: Resultsmentioning

confidence: 99%

“…It is furthermore able to bring to light new developments of a research line over time (Peters and van Raan, 1993a,b) and help policy makers understand the complex interrelations of science and their implications for effective research planning (He, 1999). Although co-word analysis has gradually been improved upon, while not all of its limitations have been overcome (Wang et al, 2012), this type of analysis can reveal the intellectual underpinnings of a wide variety of domains: chemistry (Callon et al, 1991), data retrieval (Ding et al, 2001), the fuzzy logic field (López-Herrera et al, 2010), women and health (Zulueta et al, 2011), keyword analysis (Cantos-Mateos et al, 2012), human intelligence networks (Wang et al, 2012), and stem cells (Cantos-Mateos et al, 2014). A recent study applied it to study the intellectual structure of nanotechnology and its evolution (Muñoz-Écija et al, 2017).…”

Section: Related Workmentioning

confidence: 99%

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Identification and Visualization of the Intellectual Structure in Graphene Research

Vargas-Quesada

Chinchilla‐Rodríguez

Rodríguez

2017

Front. Res. Metr. Anal.

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Since the discovery of the promising properties of graphene, research in the field has attracted numerous grants and sponsors, leading to an exponential rise in the number of papers and applications. This article presents a global map of graphene research and its intellectual structure, drawn using the terms of more than 50,000 documents extracted from Scopus database, years 1998-2015. The unit of analysis consisted of descriptors (including Author Keywords and Indexed Keywords), with the co-occurrence of descriptor as the unit of measure, using fractional counting. The main research lines identified are: Fundamental Research, Functionalization and Biomedical Applications, Technology and Devices, Materials Science, Energy Storage, Optics and Chemical Properties and Sensors. Using overlay maps, we depict the graphene research efforts of the United States, the European Union (Europe-28), and China, and project their evolution through longitudinal maps to facilitate comparison. The United States was initially at the head of world output in graphene research, but was surpassed by China in 2011 and by Europe in 2014, as a result of their respective scientific policies and financial support. The output of China has since been so intense that it can be said to mark graphene research trends. We believe this information may be valuable for the core community involved in this scientific field, as it offers a large-scale analysis showing how research has changed over time. It is therefore also helpful for policy makers and research planners. The resulting maps are a useful and attractive tool for the graphene research community, as they reveal the main lines of exploration at a glance. The methodology described here could be re-created in any other field of science to uncover and display its intellectual structure and evolution over time.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Identification and Visualization of the Intellectual Structure in Graphene Research

Vargas-Quesada

Chinchilla‐Rodríguez

Rodríguez

2017

Front. Res. Metr. Anal.

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“…The resulting domestic co-authorship network had a giant interconnected component of 1,782 authors, out of which around 239 (13.41 percent) were identified to be faculty members at Pakistani universities/institutes. For the graphic representation of the network, a social network approach was used; with pruning performed by the Pathfinder Network Scaling and a layout determined by Fruchterman-Rheingold and Spring-Embedder type algorithms (Moya-Anegón et al, 2007;Vargas-Quesada et al, 2010;Zulueta et al, 2011). The procedure was accomplished using the Sci 2 software (Sci2 Team, 2009).…”

Section: Methodsmentioning

confidence: 99%

“…While prior research has explored and tested gender differences in scientific publishing and research performance in co-authorship networks related to different countries and different scientific fields (Arensbergen et al, 2012;Barrios et al, 2013;Borrego et al, 2010;Kretschmer et al, 2012;Mozaffarian and Jamali, 2008;Sotudeh and Khoshian, 2013;Zulueta et al, 2011), yet they lack an insight about the potential moderating role of gender on the relationship between structural social capital and research performance in co-authorship networks. An exception was an earlier paper by Ö zel et al (2009), which examined the impact of gender on patterns of scientific collaboration in social sciences in Turkey and found that male authors collaborate more (most often with males only) and females collaborate less (those who collaborate do however involve in inter-gender collaborations significantly more often than males).…”

Section: Introductionmentioning

confidence: 99%

The moderating roles of academic age and institutional sector on the relationship between co-authorship network centrality and academic research performance

Badar

Hite

Badir

2014

Aslib Journal of Information Management

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Purpose -The purpose of this paper is to investigate whether potentially disadvantaged groups of researchers derive more research performance benefits from co-authorship network centrality (degree, closeness and betweenness). Design/methodology/approach -The paper builds on Badar et al. (2013), which found positive associations of network centrality on research performance with a moderating relationship of gender for female authors. Using data from ISI Web of Science (SCI), the authors study the same domestic co-authorship network of Chemistry researcher in Pakistan publishing from years 2002-2009 and investigate the moderating role of academic age and institutional sector on the relationship between co-authorship network centrality (degree, closeness, and betweenness) and the academic research performance (aggregate impact factor) of chemistry university/institute faculty members in Pakistan. Findings -Ordinary least squares (OLS)-regression findings indicated a positive relationship between degree centrality and research performance with a positive moderating relationship for both academic age and institutional sector on the relationship between degree centrality and research performance for junior faculty members and faculty members employed in private sector universities/research institutes. Practical implications -The findings can be heartening and motivating for junior faculty and private institute faculty in Pakistan in suggesting opportunities to surpass barriers of domination and poor resource access through co-authorship ties and structural social capital. Originality/value -This paper adds to the limited research by strengthening the argument that potentially disadvantaged faculty with certain individual (academic age) and work-related characteristics (institutional sector) may benefit differentially from their co-authorship network centrality.

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“…La literatura muestra precedentes en el análisis de coocurrencias de palabras. Zulueta et al (2011) muestran las líneas de investigación sobre salud y mujer a través de Medline, utilizando técnicas de visualización de redes y análisis factorial. Zhang et al (2012) utilizan el análisis de co-palabras y de redes sociales para estudiar la investigación sobre adherencia de los pacientes a los tratamientos.…”

Section: Antecedentesunclassified

Delimitación temática de la investigación española en fisioterapia a través del análisis de co-palabras

Fuente

Mateos

García

2013

Scire

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Se determina mediante análisis de co-palabras, los principales temas de investigación de la Fisioterapia en España mediante un estudio descriptivo longitudinal retrospectivo. Se recuperaron los documentos de la Web of Science que versan sobre rehabilitación y fisioterapia en España, sin límite de fechas de publicación; y se trataron con técnicas de análisis y visualización de redes para facilitar la interpretación gráfica de la información basada en coocurrencias de KeyWord Plus. Las principales líneas de investigación detectadas versan sobre rehabilitación y calidad de vida en enfermedades pulmonares, en enfermedades cardíacas, en reconstrucción articular, en lesiones neurológicas y sobre disfunciones del aparato locomotor y su abordaje a través de diferentes modalidades de fisioterapia. La metodología propuesta ha resultado interesante para hacer una primera aproximación a la delimitación temática de la fisioterapia. Futuros trabajos deberían enfocarse al estudio en profundidad de los descriptores más representativos sobre Disfunciones del aparato locomotor, para determinar los temas de investigación de la Fisioterapia en España de forma más específica.

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Research involving women and health in the Medline database, 1965–2005: co-term analysis and visualization of main lines of research

Cited by 8 publications

References 40 publications

Identification and Visualization of the Intellectual Structure in Graphene Research

Identification and Visualization of the Intellectual Structure in Graphene Research

The moderating roles of academic age and institutional sector on the relationship between co-authorship network centrality and academic research performance

Delimitación temática de la investigación española en fisioterapia a través del análisis de co-palabras

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