Category Archives: TM Tools

Bibliometric Analysis of Research Hotspots Related to Marine Oil Spill Accidents in the Environmental Field Based on Web of Science

The objective of this paper is to conduct bibliometric analysis of the relevant literature in the environmental field published from 1982 to 2018 collected by the Web of Science citation database and further explore the frontier research dynamics and hotspots in the environmental field. The word “oil spill*” was used as the subject term for retrieval. A knowledge map of hotspots in oil spill research was built through software VOSviewer and the clustering relations between them were explored. The frequency and relevance of the keywords in the corresponding literature were obtained by the matrix of keywords built through the Thomson Data Analyzer (TDA)software. The four main research hotspots of marine oil spill pollution were oil spill numerical simulation and model prediction, oil spill exposure toxicity and risk assessment, oil spill component and source analysis and oil spill pollution characteristics and treatment. The study analyzes the main content of the four research hotspots and the current research progress and provides scientific basis for further understanding of the mechanism of marine oil spill occurrence, migration and transformation, implementation of oil spill treatment and repair as well as more accurate assessment of eco-environment damage.

DOI: 10.12116/j.issn.1004-5619.2020.04.005

Author(s): J Wu, M Wang, C M Ye, Z H Xu, C Y Sha, J Y Zhang, S F Huang
Organization(s): Shanghai Academy of Environmental Sciences, East China Normal University
Source: Journal of Forensic Medicine
Year: 2020

Mapping the tuberculosis scientific landscape among BRICS countries: A bibliometric and network analysis (FULL-TEXT)

The five BRICS countries bear 49% of the world’s TB burden and they are committed to ending tuberculosis. This paper maps the scientific landscape related to TB research in BRICS. During the period 1993–2016, there were 38,315 peer-reviewed, among them, there were 11,018 (28.7%) articles related by one or more authors in a BRICS: India 38.7%; China 23.8%; South Africa 21.1%; Brazil 13.0%; and Russia 4.5% (The total was greater than 100% because our criterion was all papers with at least one author in a BRICS). Among the BRICS, there was greater interaction between India and South Africa and organizations in India and China had the highest productivity; however, South African organizations had more interaction with countries outside the BRICS. Publications by and about BRICS generally covered all research areas, especially those in India and China covered all research areas, although Brazil and South Africa prioritized infectious diseases, microbiology, and the respiratory system. An overview of BRICS scientific publications and interactions highlighted the necessity to develop a BRICS TB research plan to increase efforts and funding to ensure that basic science research successfully translates into products and policies to help end the TB epidemic. The bubble charts were generated by VantagePoint and the networks by the Gephi 0.9.1 software (Gephi Consortium 2010) from co-occurrence matrices produced in VantagePoint. The Fruchterman-Reingold algorithm provided the networks’ layout.


Author(s): Kamaiaji Castor, Fabio Batista Mota, Roseli Monteiro da Silva, Bernardo Pereira Cabral, Ethel Leonor Maciel, Isabela Neves de Almeida, Denise Arakaki-Sanchez, Kleydson Bonfim Andrade, Vadim Testov, Irina Vasilyeva, Yanlin Zhao, Hui Zhang, Manjula Singh, Raghuram Rao, Srikanth Tripathy, Glenda Gray, Nesri Padayatchi, Niresh Bhagwandin, Soumya Swaminathan, Tereza Kasaeva, Afrânio Kritski
Organization(s): Fundação Oswaldo Cruz-Fiocruz; Ministério da Saúde, Programa Nacional de Controle da Tuberculose; National Medical Research Centre of Pthtisiopulmonology and Infection Diseases, MoH; National Centre for Tuberculosis Control and Prevention, China CDC; University of KwaZulu-Natal
Source: Memórias do Instituto Oswaldo Cruz
Year: 2020

The Relationship between Forward and Backward Diversity in CORE Datasets

In this paper we seek to better understand the relationship between forward diversity in the Cognitive Science and Educational Research literature, as well as what we call Border fields (i.e. those fields which exist at the intersection of Cognitive Science and Education Research). We find a clear and convincing relationship between forward and backward diversity in the datasets we study. Among all available explanatory variables, Integration scores claim the strongest correlation in terms of their ability to account for forward diversity. When comparing results from this study to benchmark results from a prior study (using the same indicators) the datasets in this study show a tendency to be both more integrative and diffuse.

Author(s): Stephen F. Carley, Seokbeom Kwon, Alan L. Porter, Jan L. Youtie
Organization(S): Search Technology, Georgia Institute of Technology
Source: Scientometrics
Year: 2019


1. Generate an empty folder and copy a VantagePoint file of interest to it.
2. Copy Generate_VOS_Network_from_VP.vpm and Generate_VOS_Network_from_VP.xlsm to this same folder.
3. In VantagePoint run the script Generate_VOS_Network_from_VP.vpm.
4. You will prompted to select a field of interest. Select the same one selected to generate a VOS map file.
5. The script will prompt you for a network name. Give it one.
6. After it the script completes a (sparse format) VOS network file will be saved to the same folder housing the VantagePoint file you’re working with.
7. Simultaneously open the accompanying map file and network file you just generated in VOS (under the File tab).
8. The user has the option to adjust number of lines (we suggest 200) on the map, as well as their color, width and whether they’re curved or straight.

An online VOSviewer manual, which provides in-depth guidance on VOS maps, networks and manipulation the same, is available at:

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Aesthetics in the age of digital humanities

One of the most difficult but yet unavoidable tasks for every academic field is to define its own nature and demarcate its area. This article addresses the question of how current computational text-mining approaches can be used as tools for clarifying what aesthetics is when such approaches are combined with philosophical analyses of the field. We suggest that conjoining the two points of view leads to a fuller picture than excluding one or the other, and that such a picture is useful for the self-understanding of the discipline. Our analysis suggests that text-mining tools can find sources, relations, and trends in a new way, but it also reveals that the databases that such tools use are presently seriously limited. However, computational approaches that are still in their infancy in aesthetics will most likely gradually affect our understanding about the ontological status of the discipline and its instantiations.

Open Access article…. for full-text, click

Author(s): Ossi Naukkarinen and Johanna Bragge
Organization: Aalto University School of Arts, Design and Architecture; Aalto University School of Economics
Source: Journal of Aesthetics and Culture
Year: 2016

Biological Diversity in the Patent System

Biological diversity in the patent system is an enduring focus of controversy but empirical analysis of the presence of biodiversity in the patent system has been limited. To address this problem we text mined 11 million patent documents for 6 million Latin species names from the Global Names Index (GNI) established by the Global Biodiversity Information Facility (GBIF) and Encyclopedia of Life (EOL). Continue reading Biological Diversity in the Patent System

Synthetic Biology: Mapping the Scientific Landscape

This article uses data from Thomson Reuters Web of Science to map and analyse the scientific landscape for synthetic biology. The article draws on recent advances in data visualisation and analytics with the aim of informing upcoming international policy debates on the governance of synthetic biology by the Subsidiary Body on Scientific, Technical and Technological Advice (SBSTTA) of the United Nations Convention on Biological Diversity. Continue reading Synthetic Biology: Mapping the Scientific Landscape

Technology Prospecting on Enzymes for the Pulp and Paper Industry

The use of enzymes in the pulp and paper industry was introduced in the 1986. However, their use has been relatively minor. This prospective study aims at enhancing the understanding of the most important advances regarding the use of enzymes in this industry and to identify the future trends of this technology. Information gathered from the Web of Science shows a growing number of papers published on this topic indicating an increased interest in this issue. A study on patents also displayed a high number documents related to this technology. Cellulase, xylanase, laccase and lipase are the most important enzymes that can be used in the pulp and paper processes. Furthermore, the key objectives of enzymes development have been in the bleaching boosting with xylanases and fiber modification with cellulases. The current and future trends on the development of enzymes are focused on increasing their thermostability and their alkalinity strength. Continue reading Technology Prospecting on Enzymes for the Pulp and Paper Industry