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Early childhood caries Scientometric indicators 2000-2017 (Caries de la infancia temprana Indicadores cienciométricos 2000 a 2017) FULL-TEXT

The authors present in this document the results of the bibliometric and scientometric analyses related to research articles about dental caries and early childhood, published in journals indexed in Scopus from 2000 to 2017. The following indicators were extracted from the analyzed datasets: general, and specific for Latin America and Colombia, output and collaboration indicators (publication output by year, affiliation countries, affiliations, authors and journals). On the other hand, the scientometric analysis was performed by grouping the keywords into four conceptual categories: prevalent microorganisms, diet, mother-child pair, and hygiene. The resulting indicators were obtained by applying the aggregation levels mentioned above. Finally, the world-wide patent application activity was analyzed in order to complete the research and development trends related to the topics of this study.


Author(s): Lofthy Piedad Mejía-Lora, César Augusto Acevedo-Argüello

Organization(s): Universidad Santo Tomás

Source: Colección: Estudios de Bibliometría y Vigilancia Tecnológica

Year: 2019

From Research to Industry: A Quantitative and Qualitative Analysis of Science-Technology Transferences and Emergence Patterns in Bioremediation

This article uses text mining techniques to determine the time lag of knowledge transfer between research activity and technology development in bioremediation, complementing these with advanced visualization techniques in order to extract patterns that could be of interest for decision making in this field. The emergence patterns in this field have been identified and a method based on subject-action-object (SAO) semantic structure is proposed for characterizing such patterns, using 2-word tuples. Our results show that technology developments in heavy metal bioremediation swiftly follow scientific advances, as opposed to developments in bioremediation of organic chemical components. The science mapping reveals three distinct areas: 1) heavy metal remediation and phytoremediation; 2) aerobic and anaerobic remediation of chemical elements; and 3) bioremediation techniques for treating specific contamination sources such as oil. The emergence analysis points at activities involving energy recovery by bioremediation, and shows an increasing amount of technologies involving specific strains of microorganisms, which could gain significant traction in this field in an estimated time horizon of ten years. Our SAO approach, tested on the data sample corresponding to these strains, proves to be useful for characterizing the emerging technologies when applied to instrumental concepts.


Author(s): Gaizka Garechana, Rosa Rio-Belver, Enara Zarrabeitia,  Izaskun Alvarez-Meaza

Organization(s): University of the Basque Country

Source: IEEE Transactions on Engineering Management

Year: 2019

Evaluating technological emergence using text analytics: two case technologies and three approaches (FULL-TEXT)

Scientometric methods have long been used to identify technological trajectories, but we have seldom seen reproducible methods that allow for the identification of a technological emergence in a set of documents. This study evaluates the use of three different reproducible approaches for identifying the emergence of technological novelties in scientific publications. The selected approaches are term counting technique, the emergence score (EScore) and Latent Dirichlet Allocation (LDA). We found that the methods provide somewhat distinct perspectives on technological. The term count based method identifies detailed emergence patterns. EScore is a complex bibliometric indicator that provides a holistic view of emergence by considering several parameters, namely term frequency, size, and origin of the research community. LDA traces emergence at the thematic level and provides insights on the linkages between emerging research topics. The results suggest that term counting produces results practical for operational purposes, while LDA offers insight at a strategic level.


Author(s): Samira Ranaei, Arho Suominen, Alan Porter, Stephen Carley

Organization(s): VTT Technical Research Centre of Finland, Lappeenranta University of Technology, Search Technology

Source: Scientometrics

Year: 2019

Calculate Emergence with “check for a term to grow”

This version incorporates the new check for a term to grow at 1.5 times the overall dataset growth in place of the 2:1 Analysis:Base Year record count ratio requirement.

There is no change to the scoring calculation used in this VPInstitute version and the Calculate Emergence Indicators version executed from the toolbar of VP Student Edition or VantagePoint. The change in this VPInstitute version of the script applies to how the terms are filtered to remove “common” terms in relation to the dataset. This version checks that each term is growing faster in use than the growth of the overall dataset.

Calculate Emergence Indicators zip file

A few caveats to use it:

  1. Once downloaded, unzip and drop into the VantagePoint\Macros installation directory. Note that it’s possible some files will be either blocked by Windows – thus will need to right click the file->Properties->Click Unblock.
  2. It’s also possible that some of the files will be given an “unsafe” file extension. Literally something like “Emergence.html.unsafe”. If that is the case you will need to rename the file and remove the “.unsafe” bit at the end. Windows will warn you about doing this but go ahead anyway. If you hit any errors trying to run the script or something isn’t loading right then 1 or 2 is likely the cause.
  3. If you are comparing results of this version with the commercial version of the script, and you’ve selected the same Term and Year field, then the score for a given term should be the same between the two versions. It just might not appear in both lists due to the change in filtering. Which version is “right” is subjective in this case.

Long term prevention and vector control of arboviral diseases: What does the future hold? (FULL-TEXT)

Arboviral diseases are a global growing problem due to climate change, urbanization, population density, and global transportation. However, new technologies currently being developed in research labs are expected to play a relevant role in combatting arboviral diseases in the future, reducing the health and economic burden imposed by these diseases. This paper aims to anticipate the technologies that might be relevant for prevention and vector control of arboviral diseases in the future. A web-based survey was conducted of over 2,000 experts from all over the world. Both the technologies and the respondents were identified from recent scientific publications on arboviral diseases indexed in the Web of Science Core Collection. Our results show that within 20 years the enveloped virus-like particles-based vaccine and the gene-edited mosquitoes through CRISPR/Cas9 will likely be the most promising technologies for, respectively, prevention and vector control of arboviral diseases. If these expectations are confirmed, these new technologies, when fully developed, may support global public health efforts aimed at reducing transmission, mortality and morbidity of arboviral diseases.


Author(s): Bernardo Pereira Cabral, Maria da Graça Derengowski Fonseca, Fabio Batista Mota

Organization(s): Fundação Oswaldo Cruz, a, Universidade Federal da Bahia, Universidade Federal do Rio de Janeiro

Source: International Journal of Infectious Diseases

Year: 2019

Collaborative networks in gene editing

Over 15,000 articles and reviews published since 2000 were collected, with genome editing-related queries in the Web of Science (Table 1 and Supplemental Table S1). We use tech mining to investigate the underlying patterns that drive the adoption of genome editing, proposing an integrated research framework with bibliometrics, text analyses, and network analysis to analyze publication trends, authorship patterns, and key research topics and technologies of the genome editing field and provide quantitative and qualitative insights into the drivers of the CRISPR craze. Of the literature on gene-editing modalities, CRISPR-Cas continues to grow, whereas publications describing meganucleases, zinc-finger nucleases, and transcription activator-like effector nuclease (TALENs) have been decreasing since 2016. The top 5 nations contributing gene-editing research are the United States, China, Germany, the United Kingdom, and Japan, with papers from China growing fastest.  A diverse set of collaborative authors provides both leadership in the field and globalized contributions to the literature across space, time, and disciplines. The collaborative nature of this field is underscored by each of the 15 leading authors in the field (Table 2), all working with at least one fellow leading author, with 10 of the 15 co-authoring manuscripts with at least 2 other leading authors, and 4 highly collaborative authors contributing manuscripts with three or more prolific colleagues.

Author(s): Ying Huang, Alan Porter, Yi Zhang & Rodolphe Barrangou

Organization(s): Wuhan University, Georgia Institute of Technology, University of Technology Sydney, North Carolina State University

Source: Nature Biotechnology (Data Page)

Year: 2019

Application of Text-Analytics in Quantitative Study of Science and Technology

The quantitative study of science, technology and innovation (ST&I ) has experienced significant growth with advancements in disciplines such as mathematics, computer science and information sciences. From the early studies utilizing the statistics method, graph theory, to citations or co-authorship, the state of the art in quantitative methods leverages natural language processing and machine learning. However, there is no unified methodological approach within the research community or a comprehensive understanding of how to exploit text-mining potentials to address ST&I research objectives. Therefore, this chapter intends to present the state of the art of text mining within the framework of ST&I. The major contribution of the chapter is twofold; first, it provides a review of the literature on how text mining extended the quantitative methods applied in ST&I and highlights major methodological challenges. Second, it discusses two hands-on detailed case studies on how to implement the text analytics routine.

Author(s): Samira Ranaei, Arho Suominen, Alan Porter, Tuomo Kässi

Organization(s): Lappeenranta University of Technology (LUT), VTT Technical Research Centre of Finland

Source: Springer Handbook of Science and Technology Indicators

Year: 2019


3D printing technology has already been created by the manufacturing industry for decades. In the health area has grown rapidly, allowing the application to various areas of medicine. This work carried out a quantitative study in patent databases with the aim of sticking to the innovations that emerged with the 3D printer applied to health through technological indicators inherent in patents. It is possible to check the countries, companies and applications for the innovations that emerged after the patent for Fusion and Deposition Modeling (FDM) technology came into the public domain. China, listed as one of the countries in the Global Innovation Index, holds the development of new technologies as well as the patent protection of 3D Health Printer prototypes.

A tecnologia da impressão 3D tem sido utilizada pela indústria de manufatura há décadas. Na área da saúde tem crescido rapidamente, possibilitando a aplicação em diversas áreas da medicina. Este trabalho realizou um estudo quantitativo nas bases de dados de patentes com o objetivo de apontar as inovações surgidas com a impressora 3D aplicada à saúde por meio de indicadores tecnológicos inerentes nas patentes. É possível verificar os países, as empresas e as aplicações referentes às inovações que surgiram após a patente da tecnologia de Modelagem por Fusão e Deposição (FDM) entrar em domínio público. A China, listada como um dos países no Índice Global de Inovação, detém o desenvolvimento de novas tecnologias, bem como a proteção por patente de protótipos da Impressora 3D aplicado à saúde.

D.O.I.: 10.7198/geintec.v9i4.1413 Full-Text at link below

Technological Innovations of the 3D printer applied to health

Author(s): Lana Grasiela Alves Marques,  Rosângela Cordeiro de Souza Assef Neto,  Rosane Abdala Lins,  Maria Cristina Soares Guimarães

Organization(s): Fundação Oswaldo Cruz – FIOCRUZ


Year: 2019


Himalaya plants have essential ecological implications and are frequently used by local tribes for various purposes, many of which are traditionally used to cure various ailments in humans and livestock. In this study, we aimed to evaluate the global scientific production of Himalaya plant research, study the characteristics of Himalaya plant research activities,
and identify patterns, tendencies, and regularities of related articles. Data were based on the online version of Science Citation Index Expanded (SCI-Expanded), from the Web of Science database. Articles referring to Himalaya plant were assessed by the trend of publication output during 1998 to 2017. Globally, 2,471 papers were published during the 20-year
study period. The most productive countries, institutions, Web of Science subject categories, and journals, as well as the most cited articles, were identified. The mainstream research on Himalaya plant was in the plant sciences, ecology, environmental sciences, pharmacology and pharmacy. India, China, USA, and Pakistan held the majority of total world
production. Research on the species diversity and conservation, medicinal plants, and ethnobotany remained the hotspot during the 20-year study period, whereas that on the related topic “climate change” increased dramatically since 2009.

CONCLUSION: With synthetic analysis of word in article title, author keyword, abstract, and Key Words Plus Key Words Plus, it can be concluded that application of compounds derived from Himalaya plants in clinical medicine, pharmacology and oncology, and research related to chemistry, genetics, and microbiology is the ongoing Himalaya plant research in the
21st century. Gaps are present in knowledge about the genomics, epigenomics, transcriptomics, proteomics, metabolomics and bioinformatics of Himalaya plants and their associated microbes.

For Full Text


Organization(s): Dalian Jiaotong University, Chinese Academy of Agricultural Sciences, Chinese Academy of Medical Sciences

Source: Pakistan Journal of Botany

Year: 2019

Fine-grained Construction of Semantic Technology Network for Technology Evolution Analysis

As a basic tool for technology evolution analysis, technology network can visualize the relationship among technologies in different patents. However, the current constructions of technology network only represent common technical information, and cannot reflect different types of technical information. We propose a new approach to construct a fine-grained technology network and display technical information from multiple perspectives. Based on the Subject-Action-Object (SAO) structures extracted from patent documents, we first classify the technical information, and then investigate the semantic relationship among different types of technical information. Based on that, single-type and multi-type technology networks are constructed, which can demonstrate different types of technical information and make the technology evolution analysis easier and more reliable. Finally, taking the Nano-fertilizer patents as a data source, we construct a fine-grained construction of technology network, which might help identify fundamental and emerging technologies in the Nano-fertilizer field.


Author(s): Xiaoman Li, Hongyan Song, Xuefu Zhang, Qian Xu

Organization: Agricultural Information Institute, Chinese Academy of Agricultural Sciences

Source: Proceedings of the 3rd International Conference on Computer Science and Application Engineering

Year: 2019