Bibliometric studies on single journals: a review

This paper covers a total of 82 bibliometric studies on single journals (62 studies cover unique titles) published between 1998 and 2008 grouped into the following fields; Arts, Humanities and Social Sciences (12 items); Medical and Health Sciences (19 items); Sciences and Technology (30 items) and Library and Information Sciences (21 items). Under each field the studies are described in accordance to their geographical location in the following order, United Kingdom, United States and Americana, Europe, Asia (India, Africa and Malaysia). For each study, elements described are (a) the journal’s publication characteristics and indexation information; (b) the objectives; (c) the sampling and bibliometric measures used; and (d) the results observed. A list of journal titles studied is appended. The results show that (a)bibliometric studies cover journals in various fields; (b) there are several revisits of some journals which are considered important; (c) Asian and African contributions is high (41.4 of total studies; 43.5 covering unique titles), United States (30.4 of total; 31.0 on unique titles), Europe (18.2 of total and 14.5 on unique titles) and the United Kingdom (10 of total and 11 on unique titles); (d) a high number of bibliometrists are Indians and as such coverage of Indian journals is high (28 of total studies; 30.6 of unique titles); and (e) the quality of the journals and their importance either nationally or internationally are inferred from their indexation status

Evaluating patterns of national and international collaboration in Cuban science using bibliometric tools

Purpose -- The purpose of this paper is to explore the hypothesis that collaboration was a key characteristic of Cuban science to maintain their scientific capacity during a period of economic restrictions and an important feature of Cuban science policy and practice for the benefit of society. Design/methodology/approach -- Collaboration was studied through Cuban scientific publications listed in PubMed for the period 1990-2010. The search was carried out using the advanced search engine of PubMed indicating oCubaW in the affiliation field. To identify participating institutions a second search was performed to find the affiliations of all authors per article through the link to the electronic journal. A data set was created to identify institutional publication patterns for the surveyed period. Institutions were classified in three categories according to their scientific production as Central, Middle or Distal: the pattern of collaboration between these categories was analysed. Findings -- Results indicate that collaboration between scientifically advanced institutions (Central) and a wide range of national institutions is a consequence of the social character of science in Cuba in which cooperation prevails. Although this finding comes from a limited field of biomedical science it is likely to reflect Cuban science policy in general. Originality/value -- Using bibliometric tools the study suggests that Cuban science policy and practice ensure the application of science for social needs by harnessing human resources through national and international collaboration, building in this way stronger scientific capacity

Mapping the KO Community

Knowledge organization (KO) is considered a distinctive disciplinary focus of information science, with strong connections to other intellectual domains such as philosophy, computer science, psychology, sociology, and more. Given its inherent interdisciplinarity, we ask what might a map of the physical, cultural and intellectual geography of the KO community look like? Who is participating in this discipline’s scholarly discussion, and from what locations, both geographically and intellectually? Using the unit of authorship in the journal Knowledge Organization, where is the nexus of KO activity, and what patterns of authorship can be identified? What indices can be generated to describe the KO community of researchers as it has evolved? Cultural characteristics were applied as a lens to explore who is and is not participating in the international conversation about KO. World Bank GNI per capita estimates were used to compare relative wealth of countries and Hofstede’s Individualism dimension was identified as a way of understanding attributes of countries whose scholars are participating in this dialog. Descriptive statistics were generated through Excel, and data visualizations were rendered through Tableau Public and TagCrowd. The current project offers one method for examining an international and interdisciplinary field of study, but also suggests potential for analyzing other interdisciplinary areas within the larger discipline of information science

Spatial Structure of National and International Scientific Collaboration in the Brazilian Cerrado Research

The number of authors in papers has increased over the years, indicating collaborative trends in Science and Technology. Besides, scientific collaboration is structured at different spatial scales, for example, within or between institutions in the same country or among countries. Here, we evaluate the scientific collaboration patterns at national and international levels in the Cerrado research. We searched all papers about the Cerrado published between 1945 and 2017 in the Web of Science database. We performed network analyses using pairwise distance matrices to create national and international collaboration networks. We also used spatial correlograms to test the effect of geographic distance on scientific collaboration. The number of papers increased over the years (rs = 0.96), where papers with 3-5 authors had the highest growth rate (rs = 0.96). Moreover, authors from geographically closer institutions tend to collaborate more at the national level, while we found no geographic effect on international collaboration. These results show that Brazilian scientists studying the Cerrado have collaborated more over the years regardless of distance, although locally, scientists are still more likely to work with scientists of close institutions within the biome. This collaboration tendency may be associated with the need in science to deal with more complex and multidisciplinary issues, where collaborative studies promote a greater scientific and social impact.O número de autores em artigos tem aumentado ao longo dos anos, indicando tendências colaborativas em Ciência e Tecnologia. Além disso, a colaboração científica é estruturada em diferentes escalas espaciais, por exemplo, dentre ou entre instituições no mesmo país ou entre países. Aqui nós avaliamos os padrões da colaboração científica em nível nacional e internacional na pesquisa no Cerrado. Nós buscamos todos os artigos sobre o Cerrado publicados entre 1945 e 2017 no banco de dados Web of Science. As análises de rede foram realizadas usando matrizes de distância par-a-par para criar a rede de colaboração nacional e internacional. Correlogramas espaciais também foram utilizados para testar o efeito da distância geográfica sobre as redes de colaboração. O número de artigos aumentou ao longo dos anos (rs = 0.96), onde artigos com 3-5 autores tiveram a maior taxa de crescimento (rs = 0.96). Além disso, autores de instituições geograficamente mais próximas tendem a colaborar mais em nível nacional, enquanto nenhum efeito geográfico sobre a colaboração internacional. Esses resultados mostram que cientistas brasileiros estudando o Cerrado tem colaborado mais ao longo do tempo independente da distância, embora localmente, cientistas ainda tendem a trabalhar junto de cientistas de instituições mais próximas dentro do bioma. Essa tendência colaborativa pode estar associada com a necessidade da ciência em lidar com problemas mais complexo e multidisciplinares, ao qual estudos em colaboração promovem um maior impacto cientifico e social

Interoperability and FAIRness through a novel combination of Web technologies

Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, Dataverse or EUDAT). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved atthe level of an individual spreadsheet cell. We note that the behaviours of this architecture compare favourably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs

An Analytical Study on the Publication Pattern and Impact of Top Research Papers: A Case Study of Information Processing and Management

Measuring the research quality of academics to assess the performance of departments, research institutes, universities or even the researchers by themselves is a trend now across the globe. Quality is a journey which can only be judged through the scholarly communications produced, especially papers published in journals. However, assessing the quality of individual papers by peer review is not trouble-free and sometimes leads to disagreement too. Partly for these reasons, the quality of the journal that the paper is published in is widely taken into consideration for the quality of the paper itself. The present study explores the publication pattern of scholarly articles of the Journal “Information Processing and Management,” a leading international journal published by Elsevier and indexed under Science Direct Database. It examines and presents an analysis of 550 articles (under Top25 hottest article of Science Direct) cited within the period from 2008 to 2013. The scholarly articles are analyzed from several bibliometric parameters such as the chronological distribution, authorship pattern and degree of collaboration, most prolific authors, country and institution-wise distribution, subject-wise distribution of articles, most downloaded and cited, the length of articles. Lotka’s law is also applied to examine authors’ productivity pattern and productivity index. Results indicated that a high level of collaboration exists among the authors, Information Science taking shape of a developing discipline within LIS and USA occupies the dominant position in terms of productive authors, institutions and country. A positive and significant relationship lies between the T25HA and the number of citations received

Social Network Analysis of the ISPIM Innovation Management Community in 2009 - 2011

Scientific communities are bound together by common purpose and interests, and tangible evidence of the structure of such communities may be found by investigating co-authorship networks. We utilise social network analysis to examine the network structure of ISPIM (International Society for Professional Innovation Management), using co-authorship data from six ISPIM events during the years 2009-2011. We find interesting evidence of the network structure, illustrating vividly the central authors and sub-components of the network. Related to this, results reveal surprisingly tight clustering based on geographical and institutional boundaries. We also find evidence of high performing authors which span these boundaries via significantly different strategies. Overall, the results help to uncover the underlying structure of the scholarly network behind ISPIM, which helps to better understand the key contributors and their networks, and also the development points and promising research collaboration opportunities

Scientometric mapping of research output of NIRF first ranked institute of India: IISc, Bangalore

The study is aimed to investigate the scientific research productivity of India’s NIRF first ranked higher academic & research institute, Indian Institute of Science (IISc), Bangalore for a period of 05 years during 2014-2018. A total of 12,130 research papers were retrieved as SCIE publication from WoS bibliographical database and analyzed. The study is focused to find out the year wise institutional contribution in research, compound annual growth rate, areas of interest, collaborating institutions and countries, mode of publications, research funding agencies, prolific journals, prolific authors, authorship pattern, degree of collaborations etc. Different scientometric tools and techniques were used to analyze the data and interpretation has been done accordingly to draw out the meaningful result in evaluating the research productivity of the institute