Impact Of Research Output Research Articles

Impact of Research Output in Finance on Financial Development: Empirical Investigation from Middle Eastern Economies

Impact of Research Output in Finance on Financial Development: Empirical Investigation from Middle Eastern Economies

Altmetric coverage of health research in Ireland 2017-2023: a protocol for a cross-sectional analysis.

Scientific publications have been growing exponentially, contributing to an oversaturated information environment. Quantifying a research output's impact and reach cannot be solely measured by traditional metrics like citation counts as these have a lag time and are largely focused on an academic audience. There is increasing recognition to consider 'alternative metrics' or altmetrics to measure more immediate and broader impacts of research. Better understanding of altmetrics can help researchers better navigate evolving information environments and changing appetites for different types of research. Our study aims to: 1) analyse the amount and medium of Altmetric coverage of health research produced by Irish organisations (2017 - 2023), identifying changes over time and 2) investigate differences in the amount of coverage between clinical areas (e.g., nutrition vs. neurology). Using Altmetric institutional access, we will gather data on research outputs published 1 January 2017 through 31 December 2023 from active Irish organisations with Research Organisation Registry (ROR) IDs. Outputs will be deduplicated and stratified by their Australian and New Zealand Standard Research Classification relating to ≥1 field of health research: Biological Sciences, Biomedical and Clinical Sciences, Chemical Sciences, Health Sciences, and Psychology. We will clean data using R and perform descriptive analyses, establishing counts and frequencies of coverage by clinical area and medium (e.g., traditional news, X, etc.); data will be plotted on a yearly and quarterly basis where appropriate. Improved understanding of one's information environment can help researchers better navigate their local landscapes and identify pathways for more effective communication to the public. All R code will be made available open-source, allowing researchers to adapt it to evaluate their local landscapes.

Research output and economic growth in technological laggard contexts: a longitudinal analysis (1980–2019) by type of research

The literature on the impact of research output (RO) on economic growth (EG) has been rapidly expanding. However, the single growth processes of technological laggard countries and the mediating roles of human capital (HC) and structural change have been overlooked. Based on cointegration analyses and Granger causality tests over 40 years (1980–2019) for Portugal, five results are worth highlighting: (1) in the short run, RO is critical to promote EG; (2) the long run relation between RO and EG is more complex, being positive and significant in the case of global and research fields that resemble capital goods (Life, Physical, Engineering & Technology, and Social Sciences), and negative in the case of research fields that resemble final goods (Clinical & Pre-Clinical Health, and Arts & Humanities); (3) existence of important short run mismatches between HC and scientific production, with the former mitigating the positive impact of the latter on EG; (4) in the long run, such mismatches are only apparent for ‘general’ HC (years of schooling of the population 25 + years), with the positive association between RO and EG being enhanced by increases in ‘specialized’ HC (number of R&D researchers); (5) structural change processes favouring industry amplify the positive (long-run) association and (short-run) impact of RO on EG. Such results robustly suggest that even in technologically laggard contexts, scientific production is critical for economic growth, especially when aligned with changes in sectoral composition that favour industry.

UOC scholarly journals

Inspired by the DORA Declaration's recommendations regarding the transparency and contextualization of research output's impact data, we have created a poster displaying the complete set of data and indicators for all academic journals published, coedited or sponsored by the UOC. This visual representation is also intended as a way of presenting evidence of scholarly journals' capacity to create and build an international knowledge network. In the process, this helps to publicise and position the prestige of universities and their academic staff and quality values within the framework of scholarly communication.
 The figures are grouped into four categories:
 
 The first data group provides a description of the academic staff network involved in the journals' publication (authors, reviewers and members of the editorial boards). The figures show the number of people for each type of academic post and staff distribution by gender and by country.
 The second group is a geomap that combines data from two different dimensions: number of site visits per country and number of academic staff members per country.
 The third group of data shows the academic impact figures. They are basically the total number of citations reported in Web of Science, Scopus and Google Scholar, and the main indexing achievements.
 The fourth group provides information on the journals' general engagement capacity based on data gathered from social media networks and web traffic.
 
 In summary, the aim of this type of information graphic is to demonstrate scholarly journals' capacity to boost prestige, knowledge and research dissemination within a quality-controlled framework.

A semi-empirical model for the effect of trees on the urban wind environment

High-density urban areas are often associated with limited outdoor natural ventilation. Given the growing call for more vegetation in cities, it is important to study the wind resistant of urban trees in order to address outdoor natural ventilation problem in the landscape planning. Currently, Computational Fluid Dynamics (CFD) simulation and wind tunnel experiment can only model the simplified street canyon with roadside trees, at the expense of intensive technical support and high computational cost. Thus, they are mostly for the research purpose only, and the impact of research outputs on the landscape planning remains low. In this study, we developed a practical semi-empirical model to provide scientific understandings for the landscape planning practice. The new model was developed based on the balance between momentum flux and the drag force of both buildings and trees on air flow. Friction velocity (u*) was modeled and validated by existing CFD and wind tunnel data, and effective frontal area density (λf_tree) was estimated by the measured leaf area index. Effects of urban context density and trees (i.e. plant canopy density and typology) on wind environment were clarified. This research correlated the urban density and tree geometry indices with wind speed, thereby enabling planners to calculate trees’ effects on airflow using their in-house data. With such new practical tool and understandings, the knowledge-based landscape planning can be conducted to introduce more trees into urban areas, while avoiding negative effects of trees on the outdoor wind environment at cities at the same time.

A review of eminence of scientometric indicators in scientific research productivity

The evaluation and assessment of scientific research output is essential to determine its success, eminence, growth and development of an individual or an institution. A reasonable and unbiased research assessment should reflect the diversity and impact of research output. In this background, productivity and quality of scholarly content offer a strong foundation for its pragmatic evaluation. The citations along-with the number of scientific publications are primarily used to evaluate research content. With the passage of time, the field of metric sciences emerged to evaluate and assess scholarly content. These have come up with desired indexes and indicators that have become integral to the evaluation process. The science indicators, in this context, are of great importance as they offer researchers, research organizations, funding agencies etc. with an empirical measure to evaluate the performance of research output. In this milieu, an endeavor is made to review the literature on the various aspects of scientometric indicators.

Scientometric Profile of Global Male Breast Cancer Research

An analysis of 4165 papers published during 2005-2014 on male breast cancer and indexed by Science Citation Index-Expanded indicates that the publication output in this nascent field is increasing steadily. The output is scattered among 91 countries, and USA ranks first in the publication output as well as impact in terms of citations per paper (CPP) and relative citation impact (RCI). The global compound annual growth rate during the period of study is 6.2. Change in transformative activity index is highest for the People's Republic of China (PRC). However, impact of research output is low for PRC. The research output is highly scattered in terms of prolific institutions, authors and journals publishing research results. Most of the prolific institutions are located in USA. Among the prolific institutions, the highest value of CPP and RCI was for Massachusetts General Hospital (USA), and among authors the highest value of CPP and RCI was for Thompson D. from the University of Cambridge (England).

Scientometric Analysis of Scholarly Communications in Cloud Computing Literature

The aim of the paper is to examine scholarly literature in cloud computing published before January 2014 as viewed through Scopus database. Utilizing the Scopus database, 4,108 scholarly communications on cloud computing research was used for the study. The SCImago Journal and Country Rank (SJR) and Source Normalized Impact per Paper (SNIP) values of the journals were identified to determine the impact of journals in the field. Transformative Activity Index (TAI) is used to identify relative research efforts among leading countries. RCI (Relative Citation Impact) and CPP (Citations Per Publication) have been used to calculate the quality and impact of research output. The study revealed that 4108 papers were published on cloud computing until December 31, 2013. 95 countries contributed to CC literature. Top fifteen countries jointly produced 4005 (97.5%) papers. China with 1208 papers (29.4%) is ranked first in publishing papers on cloud computing while papers published from the United States have received highest citations 12019 (31.3%). The majority of papers have been published in English 3598 (87.6%) and Chinese 416 (10.1%) language. The literature on the subject was published in 157 journals, and 160 institutes around the world contributed to cloud computing literature. The study provides an analytical approach to the researchers’ to understand the progress in the field of cloud computing literature.

Do interdisciplinary research teams deliver higher gains to science?

The present paper takes its place in the stream of studies that analyze the effect of interdisciplinarity on the impact of research output. Unlike previous studies, in this study the interdisciplinarity of the publications is not inferred through their citing or cited references, but rather by identifying the authors' designated fields of research. For this we draw on the scientific classification of Italian academics, and their publications as indexed in the WoS over a five-year period (2004-2008). We divide the publications in three subsets on the basis the nature of co-authorship: those papers coauthored with academics from different fields, which show high intensity of inter-field collaboration ("specific" collaboration, occurring in 110 pairings of fields); those papers coauthored with academics who are simply from different "non-specific" fields; and finally co-authorships within a single field. We then compare the citations of the papers and the impact factor of the publishing journals between the three subsets. The results show significant differences, generally in favor of the interdisciplinary authorships, in only one third (or slightly more) of the cases. The analysis provides the value of the median differences for each pair of publication subsets.

Developing Standards for Emerging Forms of Assessment: The NISO Altmetrics Initiative

New types of calculation methodologies, called altmetrics, which is short for alternative metrics, are increasingly being used to measure and analyze the scholarly communication networks of researchers, librarians, publishers, and funding organizations. By applying altmetrics to emergent online forums like Twitter, Academia.edu, Mendeley, and ResearchGate, studies have shown that early measures of social attention to a work or body of work can be correlated with later usage and citation statistics to predict the diffusion and impact of research output. However, standards for altmetrics are needed to build confidence and trust among the information community.

Growth and Impact of Research Output in the Field of Livestock (1999-2010): A Case Study

This study describes the growth, contribution and impact of research carried out by the scientists in the field of Livestock during the period 1999-2010. The study indicates the growth of literature, pattern of authorship, Indian collaboration with other countries, share of major collaborative partner countries and contribution of various subject fields, etc. It studies the extent of concentration and scattering of their research output in different journals and describes the share and characteristics of select highly cited papers and the top productive authors. Web of Science database has been used to retrieve the data on publication output in Livestock for the study period.

A Ranking List for Information Systems Journals

There has been an increasing focus internationally on the quality and impact of research outputs in recent years. Several countries, including the United Kingdom and New Zealand have implemented schemes to base the funding of research on research quality. The Australian government is planning to implement a Research Quality Framework (RQF) in the next few years that will impact greatly on funding of research in Australian universities. A key issue for Australian researchers is how the quality and impact of research is defined and measured in their discipline areas. Although peer review is widely used to assess the quality of research outputs, it is expensive and labour intensive. Other surrogate quality measures are often used. This paper focuses on measuring the quality of research outputs in the information systems discipline. We argue that measures such as citation indexes are inappropriate for information systems and that the publication outlet is a more suitable indicator of quality. We present a ranking list of journals for the information systems discipline, and discuss the approach we have taken in developing the list. We discuss how the ranking list may be used in defining and measuring the quality of information systems research outputs, the limitations inherent in the approach and discuss lessons we have learned in developing the list.

Research Outputs in the Creative and Performing Arts: ‘Australianising’ an International Debate

This paper positions current Australian discussions about practice-led research within international, national, historical and policy contexts and relates them to the developing pedagogical debate around performing and creative arts doctorates. Arguing that the creative industries offer benefits across the economy, it suggests that recognition for the research methodology specific to practice-led disciplines and the creative industries is overdue. The discussions in this paper, and in this theme issue of MIA, are all the more critical as a result of their articulation with the imminent introduction of the Research Quality Framework (RQF), which will allow nuanced, rigorous and internationally benchmarked evaluation of the quality and impact of research outputs. The RQF and the proposed research assessment panel for ‘creative arts, design and built environment’ herald the way for wider acceptance of practice-led outputs in the Australian research environment.

Research impact quantification

The development of methods for the quantification of research impact has taken a variety of forms: the impact of research outputs on other research, through various forms of citation analysis; the impact of research and technology, through patent-derived data; the economic impact of research projects and programs, through a variety of cost-benefit analyses; the impact of research on company performance, where there is no relationship with profit, but a strong positive correlation with sales growth has been established; and calculations of the rates of social return on the investment in research.