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Web indicators for research evaluation : a practical guide
In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master's students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.
Book
Pesquisa científica como fonte de inovação em hospitais altamente reconhecidos no Mundo e no Brasil
A gestão eficiente do conhecimento e da inovação é encarada como orientação capaz de conduzir organizações a patamar de excelência e elevado desempenho. O engajamento de organizações no desenvolvimento de pesquisas científicas e produção acadêmica pode ser visto como indicador associado ao grau de inovação e construção de conhecimento acerca de melhores práticas e tecnologias. Dessa forma, este estudo objetivou analisar o nível de produtividade acadêmico-científica dos maiores hospitais mundiais e brasileiros, relacionando tal produtividade com a posição de excelência e destaque no setor hospitalar em nível mundial. Foram selecionados os 10 maiores hospitais mundiais e os 10 maiores hospitais brasileiros, com expressivo reconhecimento em termos de excelência e qualidade. Foi considerado o ranking dos hospitais mundiais apresentado pelo Portal Hospitals–Webometrics (2015) assim como as publicações acadêmicas registradas no portal SCOPUS para cada um dos 20 hospitais selecionados. Os resultados sugerem que existe uma forte associação entre a posição de excelência e reconhecimento mundial dos hospitais com seus respectivos níveis de produtividade acadêmico-científica. Ademais, observou-se a produtividade científica está fortemente concentrada nas áreas médicas em todos os 20 hospitais considerados. Dentre os hospitais brasileiros, os que apresentam maior destaque em produção acadêmico-científica são o Instituto do Coração do Hospital das Clinicas e o Hospital de Clinicas de Porto Alegre.
Journal Article
Analyzing social media networks with NodeXL : insights from a connected world
Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology.This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies.Part I provides background in the history and concepts of social media and social networks.
eBook
Data mining approaches for big data and sentiment analysis in social media
\"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends\"-- Provided by publisher.
Book
Twitter : a digital socioscope
How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science.
Book
MTI Website Quality Improvement as A Strategy to Increase Webometric Ranking
The website is one of the communication platforms used by a university to provide information, especially to students and generally to the public. In addition to increasing service satisfaction, improving the quality of the website is also one of the benchmarks for the quality of education in a university. Webometrics is one of the world-class university website ranking metrics. Webometrics has several metrics that can describe the quality of a website. The UPNVY MTI Department is one of the study programs at UPNVY, which is committed to participating in improving the university's webometrics ranking. To improve service quality and website ranking on webometrics, it is necessary to formulate a strategy to improve the website quality. This study conducts a SWOT analysis in order to design strategies that can be carried out to improve the quality of the MTI UPNVY website. The results showed that there were eight strategies that could be implemented. The most important strategy to be implemented is to establish a special team to manage the MTI UPNVY website on a regular and up-to-date.
Journal Article
Do Altmetrics Work? Twitter and Ten Other Social Web Services
Altmetric measurements derived from the social web are increasingly advocated and used as early indicators of article impact and usefulness. Nevertheless, there is a lack of systematic scientific evidence that altmetrics are valid proxies of either impact or utility although a few case studies have reported medium correlations between specific altmetrics and citation rates for individual journals or fields. To fill this gap, this study compares 11 altmetrics with Web of Science citations for 76 to 208,739 PubMed articles with at least one altmetric mention in each case and up to 1,891 journals per metric. It also introduces a simple sign test to overcome biases caused by different citation and usage windows. Statistically significant associations were found between higher metric scores and higher citations for articles with positive altmetric scores in all cases with sufficient evidence (Twitter, Facebook wall posts, research highlights, blogs, mainstream media and forums) except perhaps for Google+ posts. Evidence was insufficient for LinkedIn, Pinterest, question and answer sites, and Reddit, and no conclusions should be drawn about articles with zero altmetric scores or the strength of any correlation between altmetrics and citations. Nevertheless, comparisons between citations and metric values for articles published at different times, even within the same year, can remove or reverse this association and so publishers and scientometricians should consider the effect of time when using altmetrics to rank articles. Finally, the coverage of all the altmetrics except for Twitter seems to be low and so it is not clear if they are prevalent enough to be useful in practice.
Journal Article
Meta-research: Why research on research matters
Meta-research is the study of research itself: its methods, reporting, reproducibility, evaluation, and incentives. Given that science is the key driver of human progress, improving the efficiency of scientific investigation and yielding more credible and more useful research results can translate to major benefits. The research enterprise grows very fast. Both new opportunities for knowledge and innovation and new threats to validity and scientific integrity emerge. Old biases abound, and new ones continuously appear as novel disciplines emerge with different standards and challenges. Meta-research uses an interdisciplinary approach to study, promote, and defend robust science. Major disruptions are likely to happen in the way we pursue scientific investigation, and it is important to ensure that these disruptions are evidence based.
Journal Article