Analyzing the research in Integrative &amp; Complementary Medicine by means of science mapping

Moral-Muñoz, José A.; Cobo, Manuel J.; Peis, Eduardo; Arroyo-Morales, Manuel; Herrera‐Viedma, Enrique

doi:10.1016/j.ctim.2014.02.003

Cited by 38 publications

(22 citation statements)

References 25 publications

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“…Among many other achievements, science mapping become the keystone of visualizing and analyzing computer graphics (Chen et al, 2001), using ISI categories to represent science (Moya-Anegón et al, 2004), mapping the backbone of science (Boyack et al, 2005), evaluating large maps of disciplines (Klavans and Boyack, 2006), visualizing the citation impact of scientific journals (Leydesdorff, 2007a), mapping interdisciplinarity (Leydesdorff, 2007b), viewing the marrow of science (Moya-Anegón et al, 2007b), creating dynamic animations of journal maps (Leydesdorff and Schank, 2008), mapping the structure and evolution of chemistry research , proposing a consensus map of science , creating a journal map using Scopus data , mapping the geography of science (Leydesdorff and Persson, 2010), clustering over two million biomedical publications , creating more accurate document-level maps of research fields , detecting and visualizing the evolution of the fuzzy sets theory field (Cobo et al, 2011b), proposing a new global science map (Leydesdorff et al, 2013a,b;Boyack and Klavans, 2014), analyzing the investigation in integrative and complementary medicine (Moral-Muñoz et al, 2014), analyzing intelligent transportation systems , showing the evolution of bases knowledge systems , showing the scientific evolution of social work , outlining animal science research (Rodriguez-Ledesma et al, 2015), studying the conceptual evolution of marketing research (Murgado-Armenteros et al, 2015) identifying and depicting the intellectual structure and research fronts in nanoscience and nanotechnology in the world (Muñoz-Écija et al, 2017), and exploring the scientific evolution of e-Government (Alcaide-Muñoz et al, in press), among other brave new initiatives.…”

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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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: 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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“…Tam, Wong, Wong, and Cheung (2012) identified the most frequently cited articles published in the journals indexed in the Integrative and Complementary Medicine Web of Science (WoS) subject category. Moral-Munoz et al (2014) described the thematic evolution of CAM in the Integrative and Complementary Medicine WoS subject category. Zyoud, Al-Jabi, and Sweileh (2015) analyzed the scientific production of Arab world in CAM.…”

Section: Introductionmentioning

confidence: 99%

Thematic Trends in Complementary and Alternative Medicine Applied in Cancer-Related Symptoms

Moral-Muñoz

Arroyo-Morales

Piper

et al. 2018

Journal of Data and Information Science

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Purpose:The main goal of this study is to discover the scientific evolution of Cancer-Related Symptoms in Complementary and Alternative Medicine research area, analyzing the articles indexed in the Web of Science database from 1980 to 2013.Design/Methodology/Approach: A co-word science mapping analysis is performed under a longitudinal framework (1980 to 2013). The documental corpus is divided into two subperiods, 1980-2008 and 2009-2013. Thus, the performance and impact rates, and conceptual evolution of the research field are shown.Findings: According to the results, the co-word analysis allows us to identify 12 main thematic areas in this emerging research field: anxiety, survivors and palliative care, meditation, treatment, symptoms and cancer types, postmenopause, cancer pain, low back pain, herbal medicine, children, depression and insomnia, inflammation mediators, and lymphedema. The different research lines are identified according to the main thematic areas, centered fundamentally on anxiety and suffering prevention. The scientific community can use this information to identify where the interest is focused and make decisions in different ways.Research limitation: Several limitations can be addressed: 1) some of the Complementary and Alternative Medicine therapies may not have been included; 2) only the documents indexed in Web of Science are analyzed; and 3) the thematic areas detected could change if another dataset was considered. Practical implications:The results obtained in the present study could be considered as an evidence-based framework in which future studies could be built.Originality/value: Currently, there are no studies that show the thematic evolution of this research area.

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“…SciMAT divides the analysis into four phases. A detailed explanation of the four phases can be found elsewhere (Cobo et al, 2012;Moral-Munoz et al, 2014), although a brief description is shown below:…”

Section: Discussionmentioning

confidence: 99%

An Overview of Thematic Evolution of Physical Therapy Research Area From 1951 to 2013

Moral-Muñoz

Arroyo-Morales

Herrera‐Viedma

et al. 2018

Front. Res. Metr. Anal.

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Physical Therapy is a profession which development and conceptual framework have been performed in the twentieth century. One of the major challenges of Physical Therapy in the twenty-first century is to identify the intellectual basis of its scientific domain. The aim of the present paper is to analyze the evolution of Physical Therapy research throughout scientific literature published in Web of Science (WoS) and Scopus databases. In order to perform the analysis, WoS and Scopus bibliographic databases were used to download all records.

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Analyzing the research in Integrative & Complementary Medicine by means of science mapping

Cited by 38 publications

References 25 publications

Identification and Visualization of the Intellectual Structure in Graphene Research

Identification and Visualization of the Intellectual Structure in Graphene Research

Thematic Trends in Complementary and Alternative Medicine Applied in Cancer-Related Symptoms

An Overview of Thematic Evolution of Physical Therapy Research Area From 1951 to 2013

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