The analysis of square matrices of scientometric transactions

A method is explained for analysing square matrices of statistics giving transactions between each member of a set of nations, papers, journals, etc. In general self-transactions are different in kind to other exchanges of money, citations, etc., and a special method is given to compute row and column coefficients without relying on the diagonal elements. It is shown that this method yields very satisfactory analyses for journal and national citation data, enabling the members of the set to be assigned measures of size, quality and self-interest and a fuzzy set of clustered members from which all data may be derived.     

Quasi-correspondence analysis on scientometric transaction matrices

In principle, a scientometric transaction matrix can be modelled by assuming that the number of transactions is the result of independent row and column contributions. More often one is primarily interested in the cross-structural relations between the participating entities, whereas the row and column marginls are of lesser or no importance. The values of the residuals after fitting an independence model to a complete transaction matrix can be analyzed by correspondence analysis to investigate the structure of the transactions between the rows and columns, after correcting for their marginal frequencies. Recently a modification of correspondence analysis has been developed, quasi-correspondence analysis, which seems quite suitable for the analysis of citation-based transaction matrices which are incomplete or in which the incorporation of certain transactions may seem inappropriate. An illustration of both data analysis-techniques will be given using a journal-to-journal citation matrix.     

An improved method for analyzing square scientometric transaction matrices

Modeling the number of citations from one journal to another may be done by assuming independent contributions from the referencing journal and from the cited journal. Empirical and theoretical evidence, however, indicates that self-citations are different from interjournal citations. For this reason a model is proposed that separates the analysis of selfcitations from inter-citations. In addition, a model is proposed that adjusts the expected citation counts by the journal to journal similarity. Computational procedures for fitting coefficients of the models to the observed citation pattern are described along with a statistical method for evaluating the validity of the model.     

The extreme case of terrorism: a scientometric analysis

How has the terrorism affected the research process and findings? The author tries to answer to this question through an exploratory analysis of the impact of these tragic events on the research outputs of scientists, institutions and countries. In particular, this report provides a wide range of scientometric data related to terrorism studies over the world during the two decades from 1991 to 2011. After the September 11, 2001 events (9/11) in the United States, the concerned academicians have responded in a way that they started producing an increasing number of research publications, as if they were under the influence of some kind of a driving force, stimulating the overall academic production linked to this tragic event. However, after this trend has reached its peak in 2002, that driving force has visibly weakened, and since the mid 2000’s, the number of research publication in the field of terrorism studies has steadily decreased. Nonetheless, the number of terrorist events per year, along with the property damage and fatality rate, has continuously increased over the observed lapse of time. Using these results as a backdrop, in this paper is argued that the field of terrorism research should be explored from a critical and multi-cultural perspective, and that all scientific researchers should remain objective, for scientific research is to be independent from political systems, its contingent events in any form, and the transitory historical circumstances.     

Data envelopment analysis as a tool for constructing scientometric indicators

It is shown that Data Envelopment Analysis (DEA) ca be used to construct relative scientific and technological indicators. The method is explained and illustrated using countries as objects of study; GDP, active population and R&D expenditure as inputs, and publications and patents as outputs. Using these parameters the efficiency of countries is assessed.     

Cluster analysis of bibliographic references as a scientometric method

Possible applications of cluster analysis of bibliographic references as a scientometric method are studied. It is shown that cluster analysis made by means of bibliographic coupling byKessler and co-citation byMarshakova-Small present comparable results. Science maps on immunological topics are made. Particularly for historico-scientific studies it is useful to make clusters in rectangular coordinates taking into account the value of citing the document and the year of its publication. It is observed that at the junction points of sciences there is an almost twofold deceleration of the processes of application and spreading of knowledge. It is stated that the problem of information explosion does not exist on the level of new ideas, the number of which is less than 0.1% of the total volume of the published information flow 40% of which is formed by information noise.     

Reframing evidence in evidence-based policy making and role of bibliometrics: toward transdisciplinary scientometric research

Scientometrics - Bibliometric and scientometric analyses are widely in university headquarters, across multiple disciplines, in companies, and governments. Therefore, we need further research and...     

The highway transportation system as a commons: implications for risk policy

The highway transportation system may be viewed as a commons, that is, property that is owned by everyone and open to use by everyone. However, a commons has certain characteristics that lead to its exploitation or even demise. The motor carrier industry is used to illustrate the dilemma posed by the commons and how existing systems of deterrents and incentives fail to promote safety. Recommendations are made for modifications in motor carrier safety regulations to take into account the commons characteristics of the highway transportation system.     

The burden of injuries in the Philippines: implications for national research policy

Injuries cause 10% of the mortality and 15% of disability worldwide. However, there is a paucity of data on injuries in the developing world where two-thirds of all injury deaths occur. This is the first published report characterizing the overall problem of injuries in the Philippines, a developing country in southeast Asia. This report defines the burden of injuries in the Philippines and identifies priority areas for the national health research agenda. A systematic review of 35 years of published and unpublished data on injuries in the Philippines (1960–1995) was conducted. Injury fatality rates increased by 196% from 14.3 per 100,000 in 1960 to 42.3 per 100,000 in 1995, and one in 11 deaths in the Philippines are due to injuries. Intentional injuries account for 48% of all injury deaths and motor vehicle crashes for 15%. For 15–44 year old males, injuries account for 42% of all deaths, 67% of which are intentional. The proportion of all deaths attributable to intentional injuries has increased by 925% and that of motor vehicle crashes by 600% from 1960 to 1995. Improvements in injury surveillance and documentation of non-fatal injury outcomes are needed. Research into risk factors and potential interventions for the prevention of intentional injuries should be a priority in the Philippines.     

Use of bibliographic data bases for scientometric studies

The paper is a review of different applications of various bibliographic data bases to bibliometric and scientometric research such as identifying the leading journals in certain fields, investigating the structure and development of particular fields including trend analysis and forecasting, as well as the study of the contribution of various countries to world science as reflected in scientific literature presented in information files. The paper also covers the results of investigation of Polish scientific literature, as presented in the foreign data bases, in the fields of information science (LISA, ISA, INSPEC, 1977–1983), chemistry (CASearch, 1978–1985), physics (INSPEC, 1979–1985), science-various disciplines (SCISEARCH, 1980–1984). Along with many advantages of using bibliographic data bases for scientometric research some limitations are also described which may originate in data bases content, and have to be taken into account while designing such a type of investigation.     

A scientometric analysis of international LIS journals: Productivity and characteristics

This paper presents a quantitative study of productivity, characteristics and various aspects of global publication in the field of library and information science (LIS). A total of 894 contributions published in 56 LIS journals indexed in SSCI during the years of 2000-2004 were analyzed. A total of 1361 authors had contributed publications during the five years. The overwhelming majority (89.93%) of them wrote one paper. The average number of authors per paper is 1.52. All the studied papers were published in English. The sum of research output of the authors form USA and UK reaches 70% of the total productivity. Most papers received few citations. Each article received on an average 1.6 citations and the LIS researchers cite mostly latest articles. About 48% of citing authors had tendency of self-citation. The productive authors, their contribution and authorship position are listed to indicate their productivity and degree of involvement in their research publications.     

The unified scientometric model. Fractality and transfractality

Summary A unified scientometric model has been developed on the basis of seven principles: the actor-network principle, the translation principle, the spatial principle, the quantativity principle, the composition principle, the centre-periphery or nucleation principle, and the unified principle of cumulative advantages. The paradigm of the fractal model has been expanded by introducing the concept of fractality index and transfractality. In this work, as the first demonstration of the power of the model proposed, all the bibliometric laws known and all their mathematical expressions are deduced, both the structural distributions (Zipf, Bradford and Lotka) as well as the Price's Law of the exponential growth of science and Brookes' and Avramescu's Laws of ageing.     

Evolving importance of anticancer research using herbal medicine: a scientometric analysis

Phytocompounds and herbal extracts have been utilized in Ayurveda, Siddha and Unani medicine since thousands of years for treatment of various ailments. Success behind herbal medicine strongly suggests the interaction between bio-active phytocompounds with crucial biochemical pathways in a human body without causing adverse effects. The increasing incidence of diseases like cancer instigated the scientific world to focus intently on their pathophysiology and prevention, leading to accelerated research activity in past three decades. This study aims at understanding the evolving global importance of herbal medicine and quality of research against various cancers through scientometric analyses by studying the output from research publications, followed by the contribution from various countries, research institutes, authors, scientific journals and areas of research. To visualize the research structure and dynamics, more than 5000 publications with Science Citation Index that appeared from 1984 to 2013 have been studied and compared for a trend in its growth of publication along with the contributions from various bibliometric parameters stated above. After using the ‘Web of Science’ database it became well evident that the concerned bibliometric parameters contributed substantially in projecting the overall scientific output in the field of herbal anticancer research as reflected from the citation analysis and h-index data. It has been observed that the number of publications increased with compound annual growth rate of 10.39% during the studied periods. Evolving trend of the research topics was visualised by drawing the keyword co-occurrence map in this field.     

Composite scientometric indicators for evaluating publications of research institutes

Summary Both quantitative and qualitative evaluation of publications of research teams or institutes requires several scientometric indicators. In this paper a new composite indicator is introduced for the assessment of publications of research institutes working in different fields of science. The composite indicator consists of three part-indicators (Journal Paper Productivity, Relative Publication Strategy and Relative Paper Citedness). The different methods of calculating the composite index have only a slight effect on the value, whereas application of diverse weights for the individual part-indicators results in significant changes.     

The application of scientometric tools to the analysis of a sector in plant biotechnologies: Nitrogen fixation

The application of biliometric methods and tools for analysing data from information sciences and patent data bases allow us to obtain different representations of an area that is particularly fragmented and difficult to interpret: plant biotechnologies in which nitrogen fixation has been particularly highlighted.Paper presented at the Fourth International conference on Bibliometrics, Informetrics and Scientometrics in Berlin (Germany), September 11–15, 1993.     

Dimensions of scientometric indicator datafiles

Scientometric indicators are treated according to dimensional approaches. One, two, three, dimensions and multidimensional characteristics are revealed graphically for giving a panoramic view on the publication activity and citation impact of different countries.     

Software survey: ScientoPy,a scientometric tool for topics trend analysis in scientific publications

Bibliometric analysis is growing research filed supported in different tools. Some of these tools are based on network representation or thematic analysis. Despite years of tools development, still, there is the need to support merging information from different sources and enhancing longitudinal temporal analysis as part of trending topic evolution. We carried out a new scientometric open-source tool called ScientoPy and demonstrated it in a use case for the Internet of things topic. This tool contributes to merging problems from Scopus and Clarivate Web of Science sources, extracts and represents h-index for the analysis topic, and offers a set of possibilities for temporal analysis for authors, institutions, wildcards, and trending topics using four different visualizations options. This tool enables future bibliometric analysis in different emerging fields.

     

Cross-field normalization of scientometric indicators

Comparative assessment of scientometric indicators is greatly hindered by the different standards valid in different science fields and subfields. Indicators concerning to different fields can be compared only after first gauging them against a properly chosen reference standard, and their relative standing can then be compared. Methods of selecting reference standards and scaling procedures are surveyed in this study, and examples are given to their practical application.     

Relations of relative scientometric indicators

Relative indicators are preferably used for comparative evaluation of thematically different sets of journal papers. The Relative Publication Strategy and Relative Subfield Citedness (RPS/RW) function referring to a set of papers selected was found to be identical with the Mean Expected Citation Rate and Mean Observed Citation Rate (MECR/MOCR) function. This revised version was published online in June 2006 with corrections to the Cover Date.