Showing papers by "Daniel Torres-Salinas published in 2021"
TL;DR: In this paper, the authors proposed a new method which profiles social media users based on their interest on research topics using altmetric data, which can assist information professionals, policy managers and academics to understand and identify the main actors discussing research literature in social media.
Abstract: Altmetric 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.
6 citations
TL;DR: In this article, the authors outline a series of recommendations for bibliometricians, consultants and research support librarians when drafting Bibliometric reports in their institutions, posing their practitioners as key players in the science management process.
Abstract: Carrying out bibliometric reports is one of the common tasks performed by librarians and practitioners within the framework of their professional duties. The emergence of novel data sources, the need to measure new research activities and the growing demand for fairer and more equitable evaluation within the framework of the Responsible Metrics movement has led to calls for a review of the traditional approaches to these types of reports. The main goal of this study is to outline a series of recommendations for bibliometricians, consultants and research support librarians when drafting bibliometric reports in their institutions. These best practices can significantly enhance the quality and utility of bibliometric reports, posing their practitioners as key players in the science management process.
5 citations
TL;DR: In this paper, the authors present a forecasting analysis on the growth of scientific literature related to COVID-19 expected for 2021, based on the ARIMA model and use two different data sources: the Dimensions and World Health Organization COVID19 databases.
Abstract: We present a forecasting analysis on the growth of scientific literature related to COVID-19 expected for 2021. Considering the paramount scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced. This questions the capacity of scientists, politicians and citizens to maintain infrastructure, digest content and take scientifically informed decisions. A crucial aspect is to make predictions to prepare for such a large corpus of scientific literature. Here we base our predictions on the ARIMA model and use two different data sources: the Dimensions and World Health Organization COVID-19 databases. These two sources have the particularity of including in the metadata information the date in which papers were indexed. We present global predictions, plus predictions in three specific settings: type of access (Open Access), NLM source (PubMed and PMC), and domain-specific repository (SSRN and MedRxiv). We conclude by discussing our findings.
3 citations
TL;DR: The aim is to better understand the relationship between policy interventions and the subsequent use of scientific information by the public, and to discuss how scientific publications, media and policy actions shape public discussion in the context of a health pandemic.
Abstract: In exceptional circumstances such as pandemics, the expectation is for policy to be supported by science. However, the lack of scientific consensus during the COVID-19 pandemic places strain on decision making. In this chapter, we focus on COVID-19 effects on children and the public debate around the reopening of schools. The aim is to better understand the relationship between policy interventions and the subsequent use of scientific information by the public. We combine information from scientific articles and preprints with their appearance in (social) media. First, we investigate different related COVID-19 scientific areas. Second, we identify news and social media attention around this scientific output, focusing on three countries: Spain, South Africa, and the Netherlands. We then analyze the activity in (social) media and news outlets and conclude by discussing how scientific publications, media and policy actions shape public discussion in the context of a health pandemic.
3 citations
TL;DR: In this article, the authors explored the evolution over time of the activity and the formation of the actors' network who debated on #fpdual on Twitter during the period between 2011 and 2019.
Abstract: espanolLa Formacion Profesional Dual se introdujo en Espana en el ano 2012 como una de las medidas encaminadas a combatir el elevado desempleo juvenil. Su proceso de desarrollo e implementacion se encuentra marcado por la variacion autonomica y por la participacion de una amplia gama de actores. La evolucion de las relaciones entre actores en el ambito de la FP Dual, sin embargo, todavia no ha sido explorada en Espana desde el analisis de redes, considerado una perspectiva incipiente y de creciente uso en el ambito de la investigacion educativa internacional. Desde una optica del analisis de redes sociales, este articulo explora la evolucion temporal de la actividad y la conformacion de la red de actores que debaten en Twitter sobre la #fpdual durante el periodo comprendido entre los anos 2011 y 2019. Los resultados alcanzados han permitido trazar los periodos relativos a la fase inicial, la rapida expansion y la consolidacion de la actividad en el debate. Estos periodos muestran diferentes tendencias en la incorporacion de actores en el debate, que van desde una mayor prominencia de actores individuales educativos a una proliferacion de los ambitos y el nivel a los que estos pertenecen. Destaca el caso de las empresas y, especialmente, el de las fundaciones, que copan un lugar central en la red, tanto en terminos de produccion como de atencion recibida. Estos hallazgos pueden tener implicaciones significativas a la hora de trazar futuras lineas de investigacion en relacion con la gobernanza del subsistema de Formacion Profesional Dual en Espana. EnglishIn 2012, Dual Vocational Education and Training was one of the main measures introduced in Spain with the main purpose of taking on the high rates of youth unemployment. Its development and implementation process are characterised by regional diversity and by the participation of a wide range of actors. However, the evolution of the relationships between and among actors in the field of Dual Vocational Education and Training in Spain has not yet been explored through network analysis. It is an emergent and increasing perspective in the field of international education research. Using social network analysis, this article explores the evolution over time of the activity and the formation of the actors’ network who debated on #fpdual on Twitter during the period between 2011 and 2019. The results revealed three different periods: the initial phase, the rapid increase and the consolidation of the activity in the debate. These periods show different trends in the incorporation of actors to the debate, ranging from a greater prominence of educational individual actors to a proliferation of the fields and the level they belong to. Companies, and particularly foundations, are prominent and occupy a central place in the network, both in terms of their production and the attention received. These findings could have significant implications when drawing future lines of research in relation to the governance of the Dual Vocational Education and Training subsystem in Spain
3 citations
DOI•
13 Jul 2021
TL;DR: A forecasting analysis on the growth of scientific literature related to COVID-19 expected for 2021 is presented and global predictions, plus predictions in three specific settings are presented: by type of access (Open Access), by NLM source (PubMed and PMC), and by domain-specific repository (SSRN and MedRxiv).
Abstract: We present a forecasting analysis on the growth of scientific literature related to COVID-19 expected for 2021. Considering the paramount scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced. This questions the capacity of scientists, politicians and citizens to maintain infrastructure, digest content and take scientifically informed decisions. A crucial aspect is to make predictions to prepare for such a large corpus of scientific literature. Here we base our predictions on the ARIMA model and use two different data sources: the Dimensions and World Health Organization COVID-19 databases. These two sources have the particularity of including in the metadata information the date in which papers were indexed. We present global predictions, plus predictions in three specific settings: type of access (Open Access), NLM source (PubMed and PMC), and domain-specific repository (SSRN and MedRxiv). We conclude by discussing our findings. © 2021 18th International Conference on Scientometrics and Informetrics, ISSI 2021. All rights reserved.
2 citations
TL;DR: In this paper, the authors of Bibliometrics and Scientometrics use the WorldCat Identities to identify their strengths and weaknesses based on a sample of Biblometrics authors and compared them with Google Scholar and Web of Science citations.
Abstract: Assessing the impact of scholarly books is a difficult research evaluation problem. Library Catalog Analysis facilitates the quantitative study, at different levels, of the impact and diffusion of academic books based on data about their availability in libraries. The WorldCat global catalog collates data on library holdings, offering a range of tools including the novel WorldCat Identities. This is based on author profiles and provides indicators relating to the availability of their books in library catalogs. Here, we investigate this new tool to identify its strengths and weaknesses based on a sample of Bibliometrics and Scientometrics authors. We review the problems that this entails and compare Library Catalog Analysis indicators with Google Scholar and Web of Science citations. The results show that WorldCat Identities can be a useful tool for book impact assessment but the value of its data is undermined by the provision of massive collections of ebooks to academic libraries.
1 citations