Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 12

Bibliometrics Related Abstracts

12 Bibliometric Analysis of the Impact of Funding on Scientific Development of Researchers

Authors: Ashkan Ebadi, Andrea Schiffauerova


Every year, a considerable amount of money is being invested on research, mainly in the form of funding allocated to universities and research institutes. To better distribute the available funds and to set the most proper R&D investment strategies for the future, evaluation of the productivity of the funded researchers and the impact of such funding is crucial. In this paper, using the data on 15 years of journal publications of the NSERC (Natural Sciences and Engineering research Council of Canada) funded researchers and by means of bibliometric analysis, the scientific development of the funded researchers and their scientific collaboration patterns will be investigated in the period of 1996-2010. According to the results it seems that there is a positive relation between the average level of funding and quantity and quality of the scientific output. In addition, whenever funding allocated to the researchers has increased, the number of co-authors per paper has also augmented. Hence, the increase in the level of funding may enable researchers to get involved in larger projects and/or scientific teams and increase their scientific output respectively.

Keywords: Productivity, Bibliometrics, Collaboration, funding

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11 Bibliometrics of 'Community Garden' and Associated Keywords

Authors: Guilherme Reis Ranieri, Guilherme Leite Gaudereto, Michele Toledo, Luis Fernando Amato-Lourenco, Thais Mauad


Given the importance to urban sustainability and the growing relevance of the term ‘community garden’, this paper aims to conduct a bibliometric analysis of the term. Using SCOPUS as database, we analyzed 105 articles that contained the keywords ‘community garden’, and conducted a cluster analysis with the associated keywords. As results, we found 205 articles and 404 different keywords. Among the keywords, 334 are not repeated anytime, 44 are repeated 2 times and 9 appear 3 times. The most frequent keywords are: community food systems (74), urban activism (14), Communities of practice (6), food production (6) and public rethoric (5). Within the areas, which contains more articles are: social sciences (74), environmental science (29) and agricultural and biological sciences (24).The three main countries that concentrated the papers are United States (54), Canada (15) and Australia (12). The main journal with these keywords is Local Environment (10). The first publication was in 1999, and by 2010 concentrated 30,5% of the publications. The other 69,5% occurred 2010 to 2015, indicating an increase in frequency. We can conclude that the papers, based on the distribution of the keywords, are still scattered in various research topics and presents high variability between subjects.

Keywords: Bibliometrics, Metrics, Urban Agriculture, community garden

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10 Gender Differences in Research Output, Funding and Collaboration

Authors: Ashkan Ebadi, Andrea Schiffauerova


In spite of the global efforts toward gender equality, female researchers are still underrepresented in professional scientific activities. The gender gap is more seen in engineering and math-intensive technological scientific fields thus calling for a specific attention. This paper focuses on the Canadian funded researchers who are active in natural sciences and engineering, and analyses the gender aspects of researchers’ performance, their scientific collaboration patterns as well as their share of the federal funding within the period of 2000 to 2010. Our results confirm the existence of gender disparity among the examined Canadian researchers. Although it was observed that male researchers have been performing better in terms of number of publications, the impact of the research was almost the same for both genders. In addition, it was observed that research funding is more biased towards male researchers and they have more control over their scientific community as well.

Keywords: Bibliometrics, Collaboration, funding, Gender Differences, research output

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9 Differences in Production of Knowledge between Internationally Mobile versus Nationally Mobile and Non-Mobile Scientists

Authors: Valeria Aman


The presented study examines the impact of international mobility on knowledge production among mobile scientists and within the sending and receiving research groups. Scientists are relevant to the dynamics of knowledge production because scientific knowledge is mainly characterized by embeddedness and tacitness. International mobility enables the dissemination of scientific knowledge to other places and encourages new combinations of knowledge. It can also increase the interdisciplinarity of research by forming synergetic combinations of knowledge. Particularly innovative ideas can have their roots in related research domains and are sometimes transferred only through the physical mobility of scientists. Diversity among scientists with respect to their knowledge base can act as an engine for the creation of knowledge. It is therefore relevant to study how knowledge acquired through international mobility affects the knowledge production process. In certain research domains, international mobility may be essential to contextualize knowledge and to gain access to knowledge located at distant places. The knowledge production process contingent on the type of international mobility and the epistemic culture of a research field is examined. The production of scientific knowledge is a multi-faceted process, the output of which is mainly published in scholarly journals. Therefore, the study builds upon publication and citation data covered in Elsevier’s Scopus database for the period of 1996 to 2015. To analyse these data, bibliometric and social network analysis techniques are used. A basic analysis of scientific output using publication data, citation data and data on co-authored publications is combined with a content map analysis. Abstracts of publications indicate whether a research stay abroad makes an original contribution methodologically, theoretically or empirically. Moreover, co-citations are analysed to map linkages among scientists and emerging research domains. Finally, acknowledgements are studied that can function as channels of formal and informal communication between the actors involved in the process of knowledge production. The results provide better understanding of how the international mobility of scientists contributes to the production of knowledge, by contrasting the knowledge production dynamics of internationally mobile scientists with those being nationally mobile or immobile. Findings also allow indicating whether international mobility accelerates the production of knowledge and the emergence of new research fields.

Keywords: Diversity, Bibliometrics, Interdisciplinarity, international mobility, knowledge production

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8 Analyzing Keyword Networks for the Identification of Correlated Research Topics

Authors: Thiago M. R. Dias, Gray F. Moita, Patrícia M. Dias


The production and publication of scientific works have increased significantly in the last years, being the Internet the main factor of access and distribution of these works. Faced with this, there is a growing interest in understanding how scientific research has evolved, in order to explore this knowledge to encourage research groups to become more productive. Therefore, the objective of this work is to explore repositories containing data from scientific publications and to characterize keyword networks of these publications, in order to identify the most relevant keywords, and to highlight those that have the greatest impact on the network. To do this, each article in the study repository has its keywords extracted and in this way the network is  characterized, after which several metrics for social network analysis are applied for the identification of the highlighted keywords.

Keywords: Data Analysis, Bibliometrics, Scientometrics, extraction and data integration

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7 Analysis of the Topics of Research of Brazilian Researchers Acting in the Areas of Engineering

Authors: Thiago M. R. Dias, Gray F. Moita, Jether Gomes


The production and publication of scientific works have increased significantly in the last years, being the Internet the main factor of access and diffusion of these. In view of this, researchers from several areas of knowledge have carried out several studies on scientific production data in order to analyze phenomena and trends about science. The understanding of how research has evolved can, for example, serve as a basis for building scientific policies for further advances in science and stimulating research groups to become more productive. In this context, the objective of this work is to analyze the main research topics investigated along the trajectory of the Brazilian science of researchers working in the areas of engineering, in order to map scientific knowledge and identify topics in highlights. To this end, studies are carried out on the frequency and relationship of the keywords of the set of scientific articles registered in the existing curricula in the Lattes Platform of each one of the selected researchers, counting with the aid of bibliometric analysis features.

Keywords: Bibliometrics, Research Topics, lattes platform, topics of interest

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6 Understanding the Semantic Network of Tourism Studies in Taiwan by Using Bibliometrics Analysis

Authors: Chun-Min Lin, Yuh-Jen Wu, Ching-Ting Chung


The formulation of tourism policies requires objective academic research and evidence as support, especially research from local academia. Taiwan is a small island, and its economic growth relies heavily on tourism revenue. Taiwanese government has been devoting to the promotion of the tourism industry over the past few decades. Scientific research outcomes by Taiwanese scholars may and will help lay the foundations for drafting future tourism policy by the government. In this study, a total of 120 full journal articles published between 2008 and 2016 from the Journal of Tourism and Leisure Studies (JTSL) were examined to explore the scientific research trend of tourism study in Taiwan. JTSL is one of the most important Taiwanese journals in the tourism discipline which focuses on tourism-related issues and uses traditional Chinese as the study language. The method of co-word analysis from bibliometrics approaches was employed for semantic analysis in this study. When analyzing Chinese words and phrases, word segmentation analysis is a crucial step. It must be carried out initially and precisely in order to obtain meaningful word or word chunks for further frequency calculation. A word segmentation system basing on N-gram algorithm was developed in this study to conduct semantic analysis, and 100 groups of meaningful phrases with the highest recurrent rates were located. Subsequently, co-word analysis was employed for semantic classification. The results showed that the themes of tourism research in Taiwan in recent years cover the scope of tourism education, environmental protection, hotel management, information technology, and senior tourism. The results can give insight on the related issues and serve as a reference for tourism-related policy making and follow-up research.

Keywords: Policy, Bibliometrics, Word segmentation, Tourism Research, Co-Word Analysis

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5 Evidence of a Negativity Bias in the Keywords of Scientific Papers

Authors: Kseniia Zviagintseva, Brett Buttliere


Science is fundamentally a problem-solving enterprise, and scientists pay more attention to the negative things, that cause them dissonance and negative affective state of uncertainty or contradiction. While this is agreed upon by philosophers of science, there are few empirical demonstrations. Here we examine the keywords from those papers published by PLoS in 2014 and show with several sentiment analyzers that negative keywords are studied more than positive keywords. Our dataset is the 927,406 keywords of 32,870 scientific articles in all fields published in 2014 by the journal PLOS ONE (collected from Counting how often the 47,415 unique keywords are used, we can examine whether those negative topics are studied more than positive. In order to find the sentiment of the keywords, we utilized two sentiment analysis tools, Hu and Liu (2004) and SentiStrength (2014). The results below are for Hu and Liu as these are the less convincing results. The average keyword was utilized 19.56 times, with half of the keywords being utilized only 1 time and the maximum number of uses being 18,589 times. The keywords identified as negative were utilized 37.39 times, on average, with the positive keywords being utilized 14.72 times and the neutral keywords - 19.29, on average. This difference is only marginally significant, with an F value of 2.82, with a p of .05, but one must keep in mind that more than half of the keywords are utilized only 1 time, artificially increasing the variance and driving the effect size down. To examine more closely, we looked at those top 25 most utilized keywords that have a sentiment. Among the top 25, there are only two positive words, ‘care’ and ‘dynamics’, in position numbers 5 and 13 respectively, with all the rest being identified as negative. ‘Diseases’ is the most studied keyword with 8,790 uses, with ‘cancer’ and ‘infectious’ being the second and fourth most utilized sentiment-laden keywords. The sentiment analysis is not perfect though, as the words ‘diseases’ and ‘disease’ are split by taking 1st and 3rd positions. Combining them, they remain as the most common sentiment-laden keyword, being utilized 13,236 times. More than just splitting the words, the sentiment analyzer logs ‘regression’ and ‘rat’ as negative, and these should probably be considered false positives. Despite these potential problems, the effect is apparent, as even the positive keywords like ‘care’ could or should be considered negative, since this word is most commonly utilized as a part of ‘health care’, ‘critical care’ or ‘quality of care’ and generally associated with how to improve it. All in all, the results suggest that negative concepts are studied more, also providing support for the notion that science is most generally a problem-solving enterprise. The results also provide evidence that negativity and contradiction are related to greater productivity and positive outcomes.

Keywords: Bibliometrics, Scientometrics, keywords analysis, negativity bias, positive and negative words, scientific papers

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4 Meta-Review of Scholarly Publications on Biosensors: A Bibliometric Study

Authors: Nasrine Olson


With over 70,000 scholarly publications on the topic of biosensors, an overview of the field has become a challenge. To facilitate, there are currently over 700 expert-reviews of publications on biosensors and related topics. This study focuses on these review papers in order to provide a Meta-Review of the area. This paper provides a statistical analysis and overview of biosensor-related review papers. Comprehensive searches are conducted in the Web of Science, and PubMed databases and the resulting empirical material are analyzed using bibliometric methods and tools. The study finds that the biosensor-related review papers can be categorized in five related subgroups, broadly denoted by (i) properties of materials and particles, (ii) analysis and indicators, (iii) diagnostics, (iv) pollutant and analytical devices, and (v) treatment/ application. For an easy and clear access to the findings visualization of clusters and networks of connections are presented. The study includes a temporal dimension and identifies the trends over the years with an emphasis on the most recent developments. This paper provides useful insights for those who wish to form a better understanding of the research trends in the area of biosensors.

Keywords: Statistical Analysis, Biosensors, Bibliometrics, meta-review, trends visualization

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3 Research on Health Emergency Management Based on the Bibliometrics

Authors: Jing Sun, Bao-Fang Wen, Meng-Na Dai, Gao-Pei Zhu, Chen-Xi Zhang, Chang-Hai Tang, Zhi-Qiang Feng, Wen-Qiang Yin


Based on the analysis of literature in the health emergency management in China with recent 10 years, this paper discusses the Chinese current research hotspots, development trends and shortcomings in this field, and provides references for scholars to conduct follow-up research. CNKI(China National Knowledge Infrastructure), Weipu, and Wanfang were the databases of this literature. The key words during the database search were health, emergency, and management with the time from 2009 to 2018. The duplicate, non-academic, and unrelated documents were excluded. 901 articles were included in the literature review database. The main indicators of abstraction were, the number of articles published every year, authors, institutions, periodicals, etc. There are some research findings through the analysis of the literature. Overall, the number of literature in the health emergency management in China has shown a fluctuating downward trend in recent 10 years. Specifically, there is a lack of close cooperation between authors, which has not constituted the core team among them yet. Meanwhile, in this field, the number of high-level periodicals and quality literature is scarce. In addition, there are a lot of research hotspots, such as emergency management system, mechanism research, capacity evaluation index system research, plans and capacity-building research, etc. In the future, we should increase the scientific research funding of the health emergency management, encourage collaborative innovation among authors in multi-disciplinary fields, and create high-quality and high-impact journals in this field. The states should encourage scholars in this field to carry out more academic cooperation and communication with the whole world and improve the research in breadth and depth. Generally speaking, the research in health emergency management in China is still insufficient and needs to be improved.

Keywords: Literature, Bibliometrics, health emergency management, research situation

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2 A Bibliometric Analysis of Research on Metaphor and Business Translation at Spanish Centers

Authors: Daniel Gallego-Hernández


Business translation in the broad sense (including translation in economics, finance, trade, etc.) is a professional activity with a great demand throughout the world. This demand has generated researchers’ interest on this type of translation in the first decades of the 21st century. Translator training centers have also begun to include business translation in their curricula. Against this backdrop, a detailed bibliometric analysis on business translation is being conducted in Spain in order to strengthen and boost research related to this type of translation, which is very frequently practiced in the professional market. The aim of this paper is to analyze research in business translation made by scholars by focusing on a specific topic: translation of metaphors. This paper describes different steps: the compilation of a bibliographic corpus, an initial bibliometric-based study, and some results. Firstly, the compilation of the bibliographic references on metaphor is described. Various bibliographic databases (BITRA, TSB, TESEO, etc.), as well as instructors and researchers have been consulted. The bibliographic corpus analyzed in this paper contains a total of 46 publications on business translation and metaphor (42 book chapters, 20 articles, and 2 Ph.D. theses) written in different languages (mainly Spanish and English). Secondly, a bibliometric-based study is carried out. Various indicators are analyzed: formal indicators (type, language or year of publication), personal indicators (authorships, institutional affiliations), production indicators (number of publications, researchers’ characteristics), collaboration indicators (social networks among authors and institutions), and impact indicators (citations, influences), and content indicators (topics and methodologies). Graphical representations and ranking lists are generated by using different methodologies according to the indicator analyzed. For example, Bibexcel and Pajek are used to generate social network representations in the case of collaboration indicators. Corpus linguistics tools such as word and collocation frequencies are used to identify specific topics. The results show, among other things, that this subject matter is prolific in research on business translation. Metaphors are studied especially from descriptive and cognitive points of view. Corpus linguistics is frequently used when analyzing metaphors, especially in press articles. Conceptual metaphors which are most studied concern upward and downward movements, but also medicine, war, and natural phenomena. Comparative studies reveal a high degree of parallelism between languages, which seems to lead translators to translate literally when dealing with metaphors. The field being in its infancy, the analysis also suggests that further research can be carried out. For example, several economic areas have not yet been analyzed. Also, some metaphorical concepts having low degrees of parallelism between languages and consequently being not prone to be literally translated may also be studied so that the identification of the kinds of strategies employed by translators can be applied to translator training.

Keywords: Translation Studies, Bibliometrics, Metaphors, business translation

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1 A Co-Authorship Network Analysis of Researchers in Business Translation at Spanish Centers

Authors: Daniel Gallego-Hernández


Business translation is a professional activity often requested in Spain. Spanish universities included this type of translation in their curricula at the end of the last century, thus focusing the attention of researchers towards its teaching. This paper explores a set of 617 publications in business translation. Since scientific knowledge is socially developed, this document analyses the collaborations among scholars affiliated to Spanish centers by focusing on co-authorship networks with the goal of characterizing scientific production in business translation. They involve 302 different authors affiliated to 44 centers. A total of 24.1% of publications are co-authored. Previous data may be nuanced when analyzing author categories and the evolution of social networks. As for categories, authors were distributed according to five classes: continuants (contributing more than one publication distributed across several years, with at least one in the last five years); transients (with more than one publication distributed across no more than four years, with at least one in the last five years and at least one in earlier years); one-timers (contributing one single study); entrants (contributing at least two publications exclusively in the last five years), and terminants (contributing more than one publication in at least one year but without publications in the last five years). Bibexcel and Pajek were used to detect co-authorship and plot sociograms. The results show a trend of increasing interest in business translation despite the field being in its infancy. Although a high percentage of isolated authors with no apparent cooperation with others, was identified, the number of publications and the social networks kept growing, especially in the last years. When considering inter-institutional cooperation, the largest network is, at the same time, the most recent one and involves various universities and author categories. Since international cooperation was practically non-existent, this network may represent an interesting point of contact for those researchers seeking international cooperation or even for those international entrants looking for research stays at continuants' institutions.

Keywords: Translation Studies, Bibliometrics, co-authorship, business translation

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