Measuring Research in RSS Feed Literature

Author(s):  
P. Ramesh Babu

The study analyzes the publications on the research literature on RSS feed during 2008-2018. It is found that 175 publications only brought out by the researchers in the core area of computer science, library science, and engineering related field of research. The study analyzes that information science and library science areas are seen as the predominant areas, which have a plurality (39; 28.2%) of the publications distributed in the field. Shell International Ltd has the most (10; 5.71%) publications. USA occupied the top country. It contributed (10; 48%) of the publications on RSS Feed during the period of study.

2020 ◽  
Author(s):  
Catherine Arnott Smith ◽  
Deahan Yu ◽  
Juan Fernando Maestre ◽  
Uba Backonja ◽  
Andrew Boyd ◽  
...  

BACKGROUND Informatics tools for consumers and patients are important vehicles for facilitating engagement, and the field of consumer health informatics is an key space for exploring the potential of these tools. To understand research findings in this complex and heterogeneous field, a scoping review can help not only to identify, but to bridge, the array of diverse disciplines and publication venues involved. OBJECTIVE The goal of this systematic scoping review was to characterize the extent; range; and nature of research activity in consumer health informatics, focusing on the contributing disciplines of informatics; information science; and engineering. METHODS Four electronic databases (Compendex, LISTA, Library Literature, and INSPEC) were searched for published studies dating from January 1, 2008, to June 1, 2015. Our inclusion criteria specified that they be English-language articles describing empirical studies focusing on consumers; relate to human health; and feature technologies designed to interact directly with consumers. Clinical applications and technologies regulated by the FDA, as well as digital tools that do not provide individualized information, were excluded. RESULTS We identified 271 studies in 63 unique journals and 22 unique conference proceedings. Sixty-five percent of these studies were found in health informatics journals; 23% in information science and library science; 15% in computer science; 4% in medicine; and 5% in other fields, ranging from engineering to education. A single journal, the Journal of Medical Internet Research, was home to 36% of the studies. Sixty-two percent of these studies relied on quantitative methods, 55% on qualitative methods, and 17% were mixed-method studies. Seventy percent of studies used no specific theoretical framework; of those that did, Social Cognitive Theory appeared the most frequently, in 16 studies. Fifty-two studies identified problems with technology adoption, acceptance, or use, 38% of these barriers being machine-centered (for example, content or computer-based), and 62% user-centered, the most frequently mentioned being attitude and motivation toward technology. One hundred and twenty-six interventional studies investigated disparities or heterogeneity in treatment effects in specific populations. The most frequent disparity investigated was gender (13 studies), followed closely by race/ethnicity (11). Half the studies focused on a specific diagnosis, most commonly diabetes and cancer; 30% focused on a health behavior, usually information-seeking. Gaps were found in reporting of study design, with only 46% of studies reporting on specific methodological details. Missing details were response rates, since 59% of survey studies did not provide them; and participant retention rates, since 53% of interventional studies did not provide this information. Participant demographics were usually not reported beyond gender and age. Only 17% studies informed the reader of their theoretical basis, and only 4 studies focused on theory at the group, network, organizational or ecological levels—the majority being either health behavior or interpersonal theories. Finally, of the 131 studies describing the design of a new technology, 81% did not involve either patients or consumers in their design. In fact, while consumer and patient were necessarily core concepts in this literature, these terms were often used interchangeably. The research literature of consumer health informatics at present is scattered across research fields; only 49% of studies from these disciplines is indexed by MEDLINE and studies in computer science are siloed in a user interface that makes exploration of that literature difficult. CONCLUSIONS Few studies analyzed in this scoping review were based in theory, and very little was presented in this literature about the life context, motives for technology use, and personal characteristics of study participants.


2021 ◽  
Vol 4 (2) ◽  
pp. 93-105
Author(s):  
Lila Nyaichyai ◽  
Goma Luitel ◽  
Ram Krishna Maharjan

DSpace, a free and open-source software (FOSS) provides the digital platform for building collections of an institution. Due to the lack of the skills to install and configure DSpace, librarians are incapable to conduct it even after the awareness about it. Identifying challenges about DSpace installation is vital to increase its use by librarians. Hence, it aims to explore the understanding of DSpace installation among librarians and to identify aspects of their experiences and feelings while installing DSpace. Librarians' experiences and feelings are important for accepting the software. Librarians were interviewed during the training program conducted on digital library technology from December 2020 to January 2021. Two groups were distinguishing from each other: one is with a library science background and another is with computer science and engineering background. The second group aswas self-sustained to install DSpace, once they got the guidelines for installation. Their views were reflected with the code terms status, exploration, feeling, activities, preferences, and inadequacy. Through their experiences, the aspects of challenges are the less experience of using the command line in computer use, the unavailability of teaching courses on Linux operating system in Library and Information Science (LIS) education, and the lack of self-exploration habits. Practice to Linux commands, incorporate the Linux in the Library Science course, self-exploration, and consistent effort will help librarians in installing DSpace by themselves. Finally, librarians should internalize their goal to act as the administrator for the DSpace, not only as of the operator.


2009 ◽  
Vol 11 (4) ◽  
Author(s):  
O.B. Onyancha ◽  
D.N. Ocholla

This study took cognisance of the fact that the term 'knowledge management' lacks a universally accepted definition, and consequently sought to describe the term using the most common co-occurring terms in knowledge management (KM) literature as indexed in the Library, Information Science and Technology Abstracts (LISTA) database. Using a variety of approaches and analytic techniques (e.g. core/periphery analysis and co-occurrence of words as subject terms), data were analysed using the core/periphery model and social networks through UCINET for Windows, TI, textSTAT and Bibexcel computer-aided software. The study identified the following as the compound terms with which KM co-occurs most frequently: information resources management, information science, information technology, information services, information retrieval, library science, management information systems and libraries. The core single subject terms with which KM can be defined include resources, technology, libraries, systems, services, retrieval, storage, data and computers. The article concludes by offering the library and information science (LIS) professionals' general perception of KM based on their use of terms, through which KM can be defined within the context of LIS.


2016 ◽  
pp. 113
Author(s):  
Paulo Fernando Marschner ◽  
Lucas Veiga Ávila ◽  
Analisa Tiburski Sommer

Este estudo tem como objetivo analisar as características das publicações sobre Knowledge management (Gestão do conhecimento) e Innovation management (Gestão da inovação) na base de dados Web of Science, no período de 1945 a 2015. O trabalho descritivo e quantitativo, de natureza bibliométrica, busca levantar as características da produção acadêmica. Como principal resultado das 372 publicações analisadas constatou-se que os anos com maior publicação foram os de 2008 e 2015, em especial nas seguintes áreas temáticas: Business economics (Economia Empresarial), Operations research management science (Gestão de Operações), Engineering (Engenharias), Computer science (Ciência da Computação), Information science library science (Ciência da informação/biblioteconomia), Social science (Ciências Sociais). Os documentos são 66,6% proceedings paper, e o principal titulo é o International journal of technology management. Os países com maior número de produção são a China e os Estados Unidos, e o principal idioma é a língua inglesa.


Author(s):  
Swapan Kumar Patra ◽  
Anup Kumar Das

This chapter is an attempt to map the interdisciplinary nature of Indian library and information science (LIS) research. For this purpose, citation information of 28 Indian LIS journals is considered from Indian Citation Index (ICI) database. ICI is a bibliographic and citation database of research journals published from India. In order to understand the anatomical pattern of citations, social networking software UCINET is used to map the citation network. The result shows that self-citations (about 23%) are the prevalent pattern of citations among Indian LIS journals. Beside this, citation pattern at large is confined to the subject of LIS (about 93%) area. Further, the analysis also shows that about 7% of articles are cited from non-LIS journals. However, citations of non-LIS fields are from a closely related field, for example, general science and technology, computer science, and so on. Thus, it can be concluded that Indian LIS research does not show true interdisciplinary nature.


2018 ◽  
Vol 45 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Abdalsamad Keramatfar ◽  
Hossein Amirkhani

This article provides a bibliometric study of the sentiment analysis literature based on Web of Science (WoS) until the end of 2016 to evaluate current research trends, quantitatively and qualitatively. We concentrate on the analysis of scientific documents, distribution of subject categories, languages of documents and languages that have been more investigated in sentiment analysis, most prolific and impactful authors and institutions, venues of publications and their geographic distribution, most cited and hot documents, trends of keywords and future works. Our investigations demonstrate that the most frequent subject categories in this field are computer science, engineering, telecommunications, linguistics, operations research and management science, information science and library science, business and economics, automation and control systems, robotics and social sciences. In addition, the most active venue of publication in this field is Lecture Notes in Computer Science ( LNCS). The United States, China and Singapore have the most prolific or impactful institutions. A keyword analysis demonstrates that sentiment analysis is a more accepted term than opinion mining. Twitter is the most used social network for sentiment analysis and Support Vector Machine ( SVM) is the most used classification method. We also present the most cited and hot documents in this field and authors’ suggestions for future works.


2021 ◽  
Author(s):  
Wenceslao Arroyo-Machado ◽  
Daniel Torres-Salinas ◽  
Nicolas Robinson-Garcia

AbstractAltmetric indicators allow exploring and profiling individuals who discuss and share scientific literature in social media. But it is still a challenge to identify and characterize communities based on the research topics in which they are interested as social and geographic proximity also influence interactions. This paper proposes a new method which profiles social media users based on their interest on research topics using altmetric data. Social media users are clustered based on the topics related to the research publications they share in social media. This allows removing linkages which respond to social or personal proximity and identifying disconnected users who may have similar research interests. We test this method for users tweeting publications from the fields of Information Science & Library Science, and Microbiology. We conclude by discussing the potential application of this method and how it can assist information professionals, policy managers and academics to understand and identify the main actors discussing research literature in social media.


Ethnography ◽  
2017 ◽  
Vol 19 (3) ◽  
pp. 336-359 ◽  
Author(s):  
Coleen Carrigan

US society is thoroughly computerized and the majority of its population engages in activities involving computers. Why, then, does computer science and engineering (CSE) remain highly male-dominated and seemingly impervious to desegregation? This study explores how CSE professionals in corporations and universities navigate and subvert male hegemony to persist. I document practices in CSE that reproduce the ideological union between masculinity and competency, including hazing, bragging, and bullying. These practices, much like rites of passage, also serve to indoctrinate CSE workers to the core values in computing knowledge production, including constant observation, combative work styles, and male hegemony, all of which differentially impact women. Women who persist in CSE describe their experiences as wearisome, constrained by a fear of being different, and thus further marginalized. I argue that processes and value systems by which people become computing professionals reflect a gendered, technocratic culture, one that reproduces labor segregation in CSE.


2019 ◽  
Vol 122 (1) ◽  
pp. 3-21 ◽  
Author(s):  
Shino Iwami ◽  
Arto Ojala ◽  
Chihiro Watanabe ◽  
Pekka Neittaanmäki

Abstract Among the declining industries, for example music industry, some have been revived by information technology (IT). At the same time, in academic fields, some have expected co-evolutions between IT and other fields to cause the resurgence of either field. In this research, the clustering of citation networks with 14,438 academic papers resulted in the identification of 28 academic fields in the areas “Computer Science” or “Information Science and Library Science.” Co-evolutions between these 28 fields and citing fields to the 28 fields were evaluated by an investigation of contents; a methodology to search co-evolutions was also proposed. This paper proposes that pairs of academic fields (with both high correlation and high dissimilarity) co-evolve, and some co-evolving pairs of academic fields were found. This research contributes to the discovery of the co-evolution between academic fields.


2015 ◽  
Vol 64 (3) ◽  
pp. 248-262 ◽  
Author(s):  
Shubhada Prashant Nagarkar ◽  
Rajendra Kumbhar

Purpose – The purpose of this paper was to analyse text mining (TM) literature indexed in the Web of Science (WoS) under the “Information Science Library Science” subcategory. More specifically, it analyses the chronological growth of TM literature, and the major countries, institutions, departments and individuals contributing to TM literature. Collaboration in TM research is also analysed. Design/methodology/approach – Bibliographic and citation data required for this research were retrieved from the WoS database. TM being a multidisciplinary field, the search was restricted to “Information Science Library Science” subcategory in the WoS. A comprehensive query statement covering all synonyms of “text mining” was prepared using the Boolean operator “OR”. Microsoft Excel and HistCite software were used for data analysis. Pajek and VoSviewer were used for data visualization. Findings – It was found that USA is the major producer of TM research literature, and the highest number of papers were published in the Journal of The American Medical Informatics. Columbia University ranked first both in number of articles and citations received in the top ten institutes publishing TM literature. It was also observed that six of the top ten subdivisions of institutions are either from medicine or medical informatics or biomedical information. H.C. Chen and C. Friedman were seen to be the most prolific authors. Research limitations/implications – The paper analyses articles on TM published during 1999-2013 in WoS under the subcategory Information Science Library Science’. Originality/value – The paper is based on empirical data exclusively gathered for this research.


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