scholarly journals Mixing Digital Humanities and Applied Science Librarianship

2019 ◽  
Author(s):  
Holly Hendrigan
Keyword(s):  
Professional Practice ◽  
Digital Humanities ◽  
Recent Article ◽  
Web Of Science ◽  
Research Output ◽  
Applied Science ◽  
Collection Development ◽  
Spending Patterns ◽  
Specialized Language ◽  
Subject Areas

Awareness of faculty research interests is an important aspect of a subject librarian's responsibilities. This paper illustrates the potential of Voyant Tools, an application in wide use among digital humanities researchers, to reveal word patterns in the research output of applied science faculty. A corpus of recent article citations from Web of Science from two engineering departments was obtained, and the articles' title field was extracted and uploaded to the application. The exercise indicated that articles on fuel cells dominates the research output of one department, and articles on optical coherence tomography dominates the other. Both the corpus of citations and its visualizations in Voyant Tools contribute to librarians' knowledge of their departments and historical spending patterns on specialized resources. This knowledge can be used in professional practice, including collection development and instruction. As academic subject areas become increasingly complex and multidisciplinary, this paper encourages librarians to engage with Voyant Tools to better understand the specialized language and concepts of these evolving fields.

Profile Analysis of Research Output in Biotechnology in Turkey

2019 ◽  
pp. 134-156
Author(s):  
Yaşar Serhat Yaşgül
Keyword(s):  
Web Of Science ◽  
Research Output ◽  
Profile Analysis ◽  
Research Subject ◽  
Publication Trends ◽  
Isi Web Of Science ◽  
Research Profile ◽  
Subject Areas ◽  
Collaboration Patterns ◽  
India And China

The aim of this chapter is to reveal the research profile and intellectual accumulation of Turkey in the field of biotechnology by using bibliometric methods for the period 1973-2016. To this end, the period studied in this framework is divided into two sub-periods (1973-2003 and 2004-2016). Thus, it was aimed to analyze the effects of the Vision 2023 strategy document, which appeared in the 2000s and which considers biotechnology as one of the strategic technologies to be developed as a priority. Using the dataset created from the scanned records in the ISI Web of Science database, Turkey's publication trends, collaboration patterns, preferred journals and research subject areas were identified. Despite the improvement observed in publication performance and cooperation for the 2004-2006 sub-period, Turkey has lagged behind countries such as Brazil, India, and China, especially in terms of publication performance.

Research output, intellectual structures and contributors of digital humanities research: a longitudinal analysis 2005–2020

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fangli Su ◽  
Yin Zhang
Keyword(s):  
Digital Humanities ◽  
Web Of Science ◽  
Research Output ◽  
Content Type ◽  
Major Development ◽  
The Status ◽  
Author Keywords ◽  
Visualization Tools ◽  
Key Terms ◽  
Longitudinal Examination

PurposeThis study aims to update and extend previous efforts gauging the status of the quickly evolving field of digital humanities (DH). Based on a sample of directly relevant DH literature during 2005–2020 from Web of Science, the study conducts a longitudinal examination of the research output, intellectual structures and contributors.Design/methodology/approachThe study applies bibliometric methods, social network analysis and visualization tools to conduct a longitudinal examination.FindingsThe research output and scope of DH topics has grown over time with a widening and deepening field in four major development stages. Through both term frequency and term co-occurrence relationship networks, this study further identifies four major reoccurring topics and themes of DH research: (1) collections and contents; (2) technologies, techniques, theories and methods; (3) collaboration, interdisciplinarity and support and (4) DH evolution. Finally, leading DH research contributors (authors, institutions and nations) are also identified.Originality/valueThis study utilizes a greater number of and richer subject sources than previous efforts to identify the overall intellectual structures of DH research based on key terms from titles, abstracts and author keywords. It expands on previous efforts and furthers our understanding of DH research with more recent DH literature and richer subject sources from the literature.

Questions to the Article of research output and international cooperation among countries during the COVID-19 pandemic (Preprint)

2020 ◽  
Author(s):  
Shu-Chun Kuo ◽  
Tsair-Wei Chien ◽  
Willy Chou
Keyword(s):  
Citation Analysis ◽  
International Cooperation ◽  
Web Of Science ◽  
Research Output ◽  
Visual Representations ◽  
Scientometric Analysis ◽  
Medical Subject Headings ◽  
Pubmed Central ◽  
The Us ◽  
Circle Diagram

UNSTRUCTURED We read with great interest the study by Grammes et al. on research output and international cooperation among countries during the COVID-19 pandemic. The paper is a quantitative study using scientometric analysis instead of a qualitative research using citation analysis. A total of 7,185 publications were extracted from Web of Science Core Collection (WoS) with keywords of “covid19 OR covid-19 OR sarscov2 OR sars-cov-2” as of July 4, 2020. We replicated a citation analysis study to extract abstracts from Pubmed Central(PMC) with similar keywords mentioned above and obtained 35,421 articles relevant to COVID-10 matching their corresponding number of citation in PMC. one hundred top-cited atricles were selected and compared on diagrams. Social network analysis combined with citation numbers in articles was performed to analyze international cooperation among countries. The results were shown on a world map instead of the circle diagram in the previous study. A Sankey diagram was applied to highlight entities(e.g., countries, article types, medical subject headings, and journals) with the most citations. Authors from Chian dominated citations in these 100 top-cited articles rather than the US in publications addressed in the previous study. Both visual representations of the world map and Sankey diagram were provided to readers with a better understanding of the research output and international cooperation among countries during the COVID-19 pandemic

scholarly journals Mapping the global research output on Ebola vaccine from research indexed in web of science and scopus: a comprehensive bibliometric analysis

2021 ◽  
pp. 1-13
Author(s):  
Tosin Yinka Akintunde ◽  
Taha Hussein Musa ◽  
Hassan Hussein Musa ◽  
Shaojun Chen ◽  
Elhakim Ibrahim ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Research Output ◽  
Global Research

Analysis of Diabetes Research Literature in India during 2019: A Scientometric Study

2021 ◽  
Vol 25 (1) ◽  
pp. 01-09
Author(s):  
Mahendra Kumar Patel ◽  
Maya Verma
Keyword(s):  
Web Of Science ◽  
Research Output ◽  
Research Literature ◽  
Diabetes Research ◽  
Authorship Pattern ◽  
Scientific Outputs ◽  
International Collaborative ◽  
Scientometric Study ◽  
Productive Authors

This study analyses the research output in diabetes literature in India during 2019 indexed on Web of Science database on several aspects includes growth, rank and global publication and share of international collaborative papers. It also analyses the most productive authors, top journals, on-year wise distribution, country wise distribution and authorship pattern of contribution. The highest number of scientific outputs belongs to USA, UK, Netherland, India followed by other countries which considerably had a lower rate of publication. Among all authors globally V. Mohan contributed 75 articles on Diabetes literature. From this study it was concluded that the publication on Diabetes literature was increased and more participation should be needed for the growth of Diabetes literature nationally throughout countries.

Authorship Trends and Collaborative Research in Dyslexia Research Output: A Scientometric Study

2018 ◽  
Vol 8 (2) ◽  
pp. 24-28
Author(s):  
Joy Sofiya SNE ◽  
S. Kavitha ◽  
R. Ponnudurai
Keyword(s):  
Collaborative Research ◽  
Web Of Science ◽  
Research Output ◽  
The Common ◽  
Scientometric Study ◽  
Distinguishing Features

The present study aims at describing both the common and the distinguishing features of co authorship trends and patterns in Dyxlexia research output based on the data collected from Web of science database published during the 1989-2017. Outcome of the study shows that multi authored articles 83.09% prevail the single authored articles 16.96%. It also shows that author Shaywitz SE J has got highest 7383 global citations against 54 publications. This study is in support for the fact that Dyslexia research output is collaborative in all aspects Ranking of Authors based on Publications.

scholarly journals AUTHORSHIP PATTERNS AND COLLABORATIVE RESEARCH OF ONCOLOGY RESEARCH OUTPUT IN INDIA: A SCIENTOMETRICS STUDY

2016 ◽  
Vol 3 (2) ◽  
pp. 123-128
Author(s):  
Senthilkumar R ◽  
Muthukrishnan M
Keyword(s):  
Collaborative Research ◽  
Web Of Science ◽  
Research Output ◽  
Paper Analysis ◽  
Research Papers ◽  
Authorship Pattern ◽  
Oncology Research ◽  
Low Profile ◽  
Single Authorship ◽  
The Mean

The paper analysis authorship patterns and collaborative research of oncology research in Indiaas reflected by the research papers listed in Web of Science database for a period of 11 years from 2005-2015. The increased trend towards multiple authorship is predominant as compare to single authorship in case ofoncology in India.In the study, the degree of collaboration was not a constant value, it reveals varies of 0.03 to 0.16 percent and the mean quality as 0.09. The analysis found that single author papers maintained a low profile among oncology research scientists and the multi authorship pattern is expanding slowly in Indian oncology research.

scholarly journals Economics Research Output in BRICS Countries: A Scientometric Dimension

2019 ◽  
Vol 9 (1) ◽  
pp. 14-21
Author(s):  
Kiran P. Savanur
Keyword(s):  
Growth Rate ◽  
Web Of Science ◽  
Research Output ◽  
Activity Index ◽  
Citation Impact ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Economic Research ◽  
Brics Countries ◽  
Economics Research

This article examines the research output of economics published by BRICS countries during 1991-2016. Data collected from the Web of Science database. Growth rate (CAGR), Collaboration index, Transformative Activity index (TAI), Co-authorship index and Relative Citation Impact (RCI) indicators have been adopted to analyze the quantity and impact of economic research. We found that all five BRICS countries contributed approximately 10 percentile of the world’s economics research. The highest contribution was made by China with a total of 4424 articles which is 40.59 percent. Russia has the maximum growth rate of 27.99. Overall collaboration rate of economics publications of BRICS countries is moderate.

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