Understanding authors' psychological reactions to peer reviews: a text mining approach

Scientometrics - Peer reviews play a vital role in academic publishing. Authors have various feelings towards peer reviews. This study analyzes the experiences shared by authors in Scirev.org to...     

Language trends in nanoscience and technology: The case of Chinese-language publications

Nanoscience and technology (NST) is a young scientific and technological field that has generated great worldwide interest in the past two decades. Previous bibliometric analyses have unmistakably demonstrated the remarkable growth of the global NST literature. While almost all published research articles in NST are in English, increasingly a larger share of NST publications is published in the Chinese language. Perplexingly, Chinese is the only language — apart from English — that displays an ascendant trend in the NST literature. In this brief note, we explore and evaluate three arguments that could explain this phenomenon: coverage bias, language preference, and community formation.     

Societal impact of research: a text mining study of impact types

Scientometrics - In addition to academic impact, researchers are increasingly concerned with understanding and demonstrating the practical impact of research outside academia. Several frameworks...     

Love dynamics between science and technology: some evidences in nanoscience and nanotechnology

This paper borrows Strogatz’s dynamic model for love affair between Romeo and Juliet and extends this model to nonlinear simultaneous differential equations model in order that we can characterize the dynamic interaction mechanisms and styles between science and technology (S&T). Then we further apply the proposed new model to the field of nanoscience and nanotechnology (N&N) for the purpose of analyzing the reciprocal dependence between S&T. The empirical results provide an understanding of the relationship between S&T and their dynamic potential of interdependence in the selected 20 leading universities in the field of N&N. We find that at present nanotechnology depends mainly on the scientific-push rather than the technology-pull and nanotechnology is science-based field. In contrast, a parallel development of the technology is not visible. Policy implications are at last put forward based on the several interesting findings for the interaction mechanisms between S&T in the field.     

A hybrid approach to detecting technological recombination based on text mining and patent network analysis

Scientometrics - This article briefly describes the present status of the social media platform by radiation oncology societies and radiation oncology community. Potential of social media...     

Using artificial neural networks for mapping of scienceand technology: A multi-self-organizing-maps approach

We argue in favour of artificial neural networks for exploratory data analysis, clustering andmapping. We propose the Kohonen self-organizing map (SOM) for clustering and mappingaccording to a multi-maps extension. It is consequently called Multi-SOM. Firstly the KohonenSOM algorithm is presented. Then the following improvements are detailed: the way of namingthe clusters, the map division into logical areas, and the map generalization mechanism. Themulti-map display founded on the inter-maps communication mechanism is exposed, and thenotion of the viewpoint is introduced. The interest of Multi-SOM is presented for visualization,exploration or browsing, and moreover for scientific and technical information analysis. A casestudy in patent analysis on transgenic plants illustrates the use of the Multi-SOM. We also showthat the inter-map communication mechanism provides support for watching the plants on whichpatented genetic technology works. It is the first map. The other four related maps provideinformation about the plant parts that are concerned, the target pathology, the transgenictechniques used for making these plants resistant, and finally the firms involved in geneticengineering and patenting. A method of analysis is also proposed in the use of this computerbasedmulti-maps environment. Finally, we discuss some critical remarks about the proposedapproach at its current state. And we conclude about the advantages that it provides for aknowledge-oriented watching analysis on science and technology. In relation with this remark weintroduce in conclusion the notion of knowledge indicators.     

Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study

Scientometrics - Existing approaches to model innovation ecosystems have been mostly restricted to qualitative and small-scale levels or, when relying on traditional innovation indicators such as...     

Text mining applied to patent mapping: a practical business case

Professional patent searchers are traditionally rather suspicious of the alleged “black box” effect inherently attached to intelligent software engines relying upon linguistic technologies for patent analysis and mapping. In this article, the authors propose that such prejudices can be overcome by setting a realistic business objective while experimenting with these new linguistic tools, as well as by applying serious methodology for validating the results of the analysis. The strengths and weaknesses of a particular text mining tool are assessed with reference to a practical business case in the field of packaging technology, and a comparison of the outcome of such an analysis with a traditional one, carried out using conventional patent classifications, is also described.     

Interdisciplinarity of nano research fields: a keyword mining approach

Using a keyword mining approach, this paper explores the interdisciplinary and integrative dynamics in five nano research fields. We argue that the general trend of integration in nano research fields is converging in the long run, although the degree of this convergence depends greatly on the indicators one chooses. Our results show that nano technologies applied in the five studied nano fields become more diverse over time. One field learns more and more related technologies from others. The publication and citation analysis also proves that nano technology has developed to a relatively mature stage and has become a standardized and codified technology.     

Automatic identification of cited text spans: a multi-classifier approach over imbalanced dataset

Scientometrics - Recently, a new form of structured summary on scientific papers is explored by grouping cited text spans from the reference paper. Its primary goal is to generate summaries based...     

Ranking Iranian universities: an interpretative structural modeling approach

Ranking is widely considered to be an important tool for evaluating the performance, competitiveness, and success of academic institutions. An appropriate ranking system should evaluate the key missions of the higher education system in a way that helps to improve the leadership goals and activities carried out by the universities. Based on the concepts derived from the Iranian Higher Education Upstream Documents and Measures used internationally for university ranking, this study identifies 21 key measures that can be used in the ranking of Iranian universities. The measures are grouped into five categories: scientific infrastructure, scientific effectiveness, socio-cultural effectiveness, international interactions, and sustainability. Then, using the Interpretative Structural Modeling approach, the researchers develop a coherent rubric for establishing the ranking. The proposed conceptual model focuses primarily on the universities’ contribution to technological and scientific infrastructure, then secondarily on their contribution to scientific advancement and international interactions, and finally at a tertiary level on their socio-cultural effectiveness and sustainability.     

Using text mining techniques for identifying research gaps and priorities: a case study of the environmental science in Iran

This study aims to observe the researchers’ behavior in Iranian scientific databases to determine the research gaps and priorities in their field of research. Text mining and natural language processing techniques were used to identify what researchers are looking for and to analyze existing research works. In this paper, the information about the behavior of researchers who work in the field of environmental science and existing research works in the Iranian scientific database are processed. The search trends in all areas are evaluated by analyzing the users’ search data. The trend analysis indicates that in the period of February 2013 to July 2015, the growth of the researchers’ requests in some domains of the environment such as Industry, Training, Assessment, Material, Water and Pollution was 1.5 up to 2 times more than the overall requests. A Combination of the trend analysis and clustering of queries led to shaping four priority zones. Then, the research priorities for each environmental research area were determined. The results show that Training, Pollution, Rangeland, Management and Law are those domains in the environmental research which have the most research gaps in Iran, but there are enough research in Forest, Soil and Industry domains. At the end, we describe the steps for the implementation of a decision support system in environmental research management. Researchers, managers and policy makers can use this proposed “research demand and supply monitoring” system or RDSM to make appropriate decisions and allocate their resources more efficiently.     

Dynamic shadow mask technique: a universal tool for nanoscience

A comprehensive instrument, designed for fabricating nanostructures by evaporation through a dynamic shadow mask in ultrahigh vacuum, is described. The versatility and performance of the instrument is demonstrated through a series of examples, allowing for applications that are impossible to achieve with traditional nanopatterning methods. Clean nanostructures or entire devices made of different materials and on various substrates can be fabricated. The technique is compatible with fundamental surface science and can be easily interfaced with other fabrication and characterization techniques.     

Bibliometric and text mining approaches to evaluate landfill design standards

Scientometrics - In 2014, Canadians generated 961 kg of waste per capita. Landfilling is a logical choice for many Canadian communities because of land availability. This paper examines...