138 research outputs found

    Large-Scale Analysis of the Accuracy of the Journal Classification Systems of Web of Science and Scopus

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    Journal classification systems play an important role in bibliometric analyses. The two most important bibliographic databases, Web of Science and Scopus, each provide a journal classification system. However, no study has systematically investigated the accuracy of these classification systems. To examine and compare the accuracy of journal classification systems, we define two criteria on the basis of direct citation relations between journals and categories. We use Criterion I to select journals that have weak connections with their assigned categories, and we use Criterion II to identify journals that are not assigned to categories with which they have strong connections. If a journal satisfies either of the two criteria, we conclude that its assignment to categories may be questionable. Accordingly, we identify all journals with questionable classifications in Web of Science and Scopus. Furthermore, we perform a more in-depth analysis for the field of Library and Information Science to assess whether our proposed criteria are appropriate and whether they yield meaningful results. It turns out that according to our citation-based criteria Web of Science performs significantly better than Scopus in terms of the accuracy of its journal classification system

    The Research Space: using the career paths of scholars to predict the evolution of the research output of individuals, institutions, and nations

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    In recent years scholars have built maps of science by connecting the academic fields that cite each other, are cited together, or that cite a similar literature. But since scholars cannot always publish in the fields they cite, or that cite them, these science maps are only rough proxies for the potential of a scholar, organization, or country, to enter a new academic field. Here we use a large dataset of scholarly publications disambiguated at the individual level to create a map of science-or research space-where links connect pairs of fields based on the probability that an individual has published in both of them. We find that the research space is a significantly more accurate predictor of the fields that individuals and organizations will enter in the future than citation based science maps. At the country level, however, the research space and citations based science maps are equally accurate. These findings show that data on career trajectories-the set of fields that individuals have previously published in-provide more accurate predictors of future research output for more focalized units-such as individuals or organizations-than citation based science maps

    The scientific periodical production affiliated to the National Institute of the Atlantic Forest (INMA) at Scopus database (2009-2018)

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    Introdução: Apresenta-se, como objeto de análise, a produção de artigos científicos afiliados ao Instituto Nacional da Mata Atlântica (INMA), nova denominação do Museu de Biologia Professor Mello Leitão (MBML). Objetiva-se reconhecer a visibilidade, o impacto e as relações temáticas e colaborativas estabelecidas pela pesquisa do INMA ao longo de dez anos (2009-2018). Parte-se da seguinte questão: como se configura essa produção científica no que tange a áreas temáticas prioritárias, periódicos, autores, instituições e países mais produtivos e, ainda, qual seu impacto pelas citações recebidas? Método: Adotam-se os estudos métricos da informação como metodologia de coleta e análise, identificando-se um corpus de 73 artigos vinculados ao INMA pela afiliação institucional de seus pesquisadores no período de dez anos. Utiliza-se a base de dados Scopus para identificação dessa produção e, também, a base de dados Scival como instrumento para geração de indicadores. Resultados: Destaca-se que a produção afiliada ao INMA apresenta índices de internacionalização expressivos, visto que está publicada em 72% de periódicos internacionais. Além disso, o corpus recebe uma média de citações elevada (4,22 citações por artigo). As pesquisas com maior número de citações apresentam impacto superior à média de citação dos periódicos em que estão veiculadas. As relações interinstitucionais e entre autores constroem-se alinhadas ao escopo temático e histórico do Instituto, consolidando áreas e tendências de pesquisa nos domínios da zoologia e da botânica. Conclusão: O perfil da produção científica retratada contribui como elemento estratégico para a consolidação da memória de pesquisa do INMA.Introduction: this study considers as object of analysis the scientific articles production affiliated to the National Institute of the Atlantic Forest (INMA). It aims to recognize visibility, impact, thematic and collaborative relationships established by researchers afilliated to the Institute over ten years (2009-2018). It starts from the scientific question: how is this scientific production configured regarding priority thematic areas, journals, authors, institutions and most productive countries, and what is its impact on the citations received? Method: it adopts the metric studies of information as methodology, identifying a corpus of 73 articles linked to INMA by the institutional affiliation of its researchers over a period of ten years. It uses the Scopus database to identify this production and also the Scival database as an instrument to generate indicators. Results: it points out that the production affiliated to INMA has high internationalization rates, as it is published in 72% of international journals. In addition, the corpus receives a high average of citations (4.22 citations per article). The articles with the highest number of citations have greater impact than the average citations of the journals in which they are published. Interinstitutional relations and between authors are built in line with the thematic and historical scope of the institute, consolidating areas and research trends on zoology and botany. Conclusion: the profile of the scientific production portrayed contributes as a strategic element for the consolidation of INMA’s research memory

    Co-existence of Anaerobic Ammonium Oxidation Bacteria and Denitrifying Anaerobic Methane Oxidation Bacteria in Sewage Sludge: Community Diversity and Seasonal Dynamics

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    Anaerobic ammonium oxidation (ANAMMOX) and denitrifying anaerobic methane oxidation (DAMO) have been recently discovered as relevant processes in the carbon and nitrogen cycles of wastewater treatment plants. In this study, the seasonal dynamics of ANAMMOX and DAMO bacterial community structures and their abundance in sewage sludge collected from wastewater treatment plants were analysed. Results indicated that ANAMMOX and DAMO bacteria co-existed in sewage sludge in different seasons and their abundance was positively correlated (P < 0.05). The high abundance of ANAMMOX and DAMO bacteria in autumn and winter indicated that these seasons were the preferred time to favour the growth of ANAMMOX and DAMO bacteria. The community structure of ANNAMOX and DAMO bacteria could also shift with seasonal changes. The "Candidatus Brocadia" genus of ANAMMOX bacteria was mainly recovered in spring and summer, and an unknown cluster was primarily detected in autumn and winter. Similar patterns of seasonal variation in the community structure of DAMO bacteria were also observed. Group B was the dominant in spring and summer, whereas in autumn and winter, group A and group B presented almost the same proportion. The redundancy analysis revealed that pH and nitrate were the most significant factors affecting community structures of these two groups (P < 0.01). This study reported the diversity of ANAMMOX and DAMO in wastewater treatment plants that may be the basis for new nitrogen removal technologies
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