Article
Computer Science, Interdisciplinary Applications
Enrique Orduna-Malea, Nuria Bautista-Puig
Summary: This paper analyzes DORA-related tweets to uncover characteristics of discussions surrounding DORA. The results show an increasing volume of tweets, but limited user engagement, predominantly driven by a few DORA promoters. The DORA debate appears to be part of broader conversations.
Article
Computer Science, Interdisciplinary Applications
Wenceslao Arroyo-Machado, Daniel Torres-Salinas, Nicolas Robinson-Garcia
Summary: This paper introduces a new method to profile social media users based on their interests in research topics, utilizing Altmetric data to cluster users and identify disconnected users with similar research interests, while addressing the influence of social and geographic proximity on interactions. The method was tested on users tweeting publications in Information Science & Library Science, and Microbiology fields, with the potential for application in assisting information professionals, policy managers, and academics to understand and identify key actors in discussing research literature on social media.
Article
Multidisciplinary Sciences
Gabriele Etta, Emanuele Sangiorgio, Niccolo Di Marco, Michele Avalle, Antonio Scala, Matteo Cinelli, Walter Quattrociocchi
Summary: This paper examines how social media platforms have changed the way users consume and digest information, and the impact on the popularity of controversial topics. By analyzing 57 million posts from 2 million pages and groups on Facebook, focusing on scandals, tragedies, and social and political issues, it is found that these topics exhibit similar patterns in their engagement dynamics. Furthermore, it is demonstrated that the initial burstiness can predict users' future adverse reactions regardless of the topic discussed.
Article
Computer Science, Information Systems
Hanjia Lyu, Long Chen, Yu Wang, Jiebo Luo
Summary: This study characterizes Twitter users who use controversial terms versus non-controversial terms when discussing COVID-19, finding significant differences in demographics, follower count, political following status, and geo-locations. Additionally, classification models are used to predict Twitter users more likely to use controversial terms, making it the first large-scale social media-based study to analyze users based on their usage of controversial terms during a major crisis.
IEEE TRANSACTIONS ON BIG DATA
(2021)
Article
Public, Environmental & Occupational Health
Faisal A. Nawaz, Austin A. Barr, Monali Y. Desai, Christos Tsagkaris, Romil Singh, Elisabeth Klager, Fabian Eibensteiner, Emil D. Parvanov, Mojca Hribersek, Maria Kletecka-Pulker, Harald Willschke, Atanas G. Atanasov
Summary: AI has the potential to reshape medical practice and healthcare delivery. Online discussions on this topic are increasing, but many practitioners and medical students have limited understanding of AI. To promote research and resources on the intersection of AI and medicine, a Twitter-based campaign using the hashtag #MedTwitterAI was created. The analysis of tweets with the hashtag revealed significant interest and engagement from a diverse and global audience, demonstrating the effectiveness of hashtags in raising awareness and facilitating knowledge-sharing.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Business, Finance
Daniele Ballinari, Francesco Audrino, Fabio Sigrist
Summary: This study empirically investigates the relationship between the attention of retail and institutional investors and the way stock markets process information. The results show that higher retail investors' attention around news releases increases the post-announcement stock return volatility, while institutional investor attention has a small but negative impact on volatility on days following news releases.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Nedim Christoph Beste, Xue Davis, Roman Kloeckner, Erkan Celik, Michael Korenkov, David Maintz, Thomas Dratsch, Daniel Pinto dos Santos
Summary: This study analyzed tweet data and found a decrease in Twitter activity and conference attendance during the virtual RSNA conference in 2020. Topics related to social initiatives and interpersonal communication were less discussed during the virtual conference. Overall engagement during the virtual conference was lower compared to the in-person conference.
INSIGHTS INTO IMAGING
(2022)
Article
Biodiversity Conservation
Luke Christopher Evans, Matthew P. Greenwell, Victoria L. Boult, Thomas Frederick Johnson
Summary: Social media is a platform for debating contentious political and social topics. One debated topic is the acceptability of trophy hunting, which has policy implications. Through a mixed-methods approach, this study identified 12 categories and 4 archetypes opposing trophy hunting on Twitter. The debate was hostile, with a small percentage of abusive tweets. The findings are important for stakeholders engaging in the trophy hunting debate on Twitter and for understanding public responses to conservation topics in social media.
CONSERVATION BIOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Zhichao Fang, Rodrigo Costas, Paul Wouters
Summary: This study investigates user engagement with scholarly tweets on Twitter, finding that likes are the most prevalent engagement metric and that tweets in the field of Social Sciences and Humanities are more likely to trigger user engagement. User engagement is also more associated with Twitter-related factors than with science-related factors.
Article
Public, Environmental & Occupational Health
Victor Suarez-Lledo, Yelena Mejova
Summary: This study aims to measure the change in user behavior who engage with National Eating Disorders Association (NEDA) content on social media, and compare the changes between campaigns in 2019 and 2020. The study finds that government and nonprofit accounts attract the most retweets, women are more likely to share their experiences with eating disorders, and discuss other health topics and the COVID pandemic. However, users who engage with NEDA content are more likely to mention linguistic categories related to anxiety and risk.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Communication
Sedona Chinn, Dan Hiaeshutter-Rice, Kaiping Chen
Summary: Contention over COVID-19 is a recent example of increasing social division around science in the U.S. This study examines how science influencers on social media use group identity language to perpetuate narratives of intergroup conflict. The research finds that science influencers use different platforms to engage diverse audiences, build ingroup solidarity, and defend against outgroup criticism.
POLITICAL COMMUNICATION
(2023)
Article
Orthopedics
Emanuele Chisari, Zane Gouda, Mohammad Abdelaal, John Shields, Jeffrey B. Stambough, Jaime Bellamy, Chad A. Krueger
Summary: This study showed that using visual abstracts (VAs) on Twitter can increase user engagement compared to plain-text tweets, especially in the field of orthopedic research. Engagement for both types of tweets peaked shortly after posting, with VAs attracting significantly more engagement overall.
JOURNAL OF ARTHROPLASTY
(2021)
Article
Green & Sustainable Science & Technology
Shu Ishida, Takanori Matsui, Chihiro Haga, Keiko Hori, Shizuka Hashimoto, Osamu Saito
Summary: The recent rates of global change in nature are unprecedented. The IPBES has proposed a framework for transformative change, involving recognizing values, making inclusive decisions, restructuring policies, and transforming social norms and goals. This study examines the unique perspective of the Japanese community on biodiversity, using Twitter data to identify interest and concern and comparing it with the IPBES framework.
Article
Social Sciences, Interdisciplinary
Michael Robert Haupt, Jiawei Li, Tim K. Mackey
Summary: The study found that tweets related to medical endorsements and supportive scientific information about hydroxychloroquine far outnumbered accurate and updated scientific evidence in Twitter discourse, with misinformation-related tweets propagating for a longer period of time. The majority of tweets expressed positive views about the drug. Prominent users spreading misinformation were more likely to have media or political affiliations and explicitly express support for President Trump, while those opposing the misinformation primarily consisted of medical doctors or scientists with less influence in the Twitter discourse.
BIG DATA & SOCIETY
(2021)
Article
Computer Science, Information Systems
Hongyu Zhou, Raf Guns, Tim C. E. Engels
Summary: This study proposes a contextual framework to improve the methodology for interdisciplinary knowledge flow (IKF) and uncover different forms of interdisciplinarity. By characterizing IKF in terms of broadness, intensity, and homogeneity, the study offers a more holistic and detailed viewpoint on the interdisciplinarity of scientific entities. The study also compares the proposed framework with established indicators and discusses how it can assist science policy practices.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Studies
Vit Machacek, Martin Srholec, Marcia R. Ferreira, Nicolas Robinson-Garcia, Rodrigo Costas
Summary: This study proposes institutional mobility indicators based on researchers' mobility flows. The findings reveal that institutions in Central, Eastern, and Southern Europe have the highest share of insiders, while institutions in Northern America and Western and Northern Europe have a higher share of foreign outsiders. Foreign outsiders are most common in small and wealthy countries. No disciplinary differences are observed.
SCIENCE AND PUBLIC POLICY
(2022)
Article
Computer Science, Information Systems
Zhichao Fang, Jonathan Dudek, Rodrigo Costas
Summary: Understanding the dynamic nature of Twitter data is crucial for validating metrics based on the availability of tweets over time. The study tracked original scholarly tweets mentioning COVID-19-related research and found an increase in the proportion of unavailable tweets. However, a significant portion of these tweets became available again, mainly due to changes in user accounts. The findings highlight the challenges in retrieving, processing, and interpreting Twitter data about scientific papers.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Ting Cong, Zhichao Fang, Rodrigo Costas
Summary: The study investigates the adoption of WeChat by Chinese scholarly journals and its impact on citation. The results indicate that 65.3% of indexed journals have created WeChat accounts and posted over 193 thousand articles. There is a weak correlation between bibliometric indicators and WeChat indicators, highlighting the differentiated dimensions of indicators between bibliometrics and social media metrics. Journals with WeChat accounts tend to have a slightly higher citation impact.
Article
Rehabilitation
Lidia Carballo-Costa, Alejandro Quintela-Del-Rio, Jamile Vivas-Costa, Rodrigo Costas
Summary: This study comprehensively examined the thematic structure and evolution of the field of physical therapy using bibliometric methods. The results showed that the United States, the United Kingdom, and Australia were the main research producers in physical therapy, while the Netherlands, Norway, and Sweden had the highest citation impact. Furthermore, the study found that high research production does not necessarily imply a high citation impact.
PHYSIOTHERAPY THEORY AND PRACTICE
(2023)
Article
Orthopedics
Lidia Carballo-Costa, Zoe A. Michaleff, Rodrigo Costas, Alejandro Quintela-Del-Rio, Jamile Vivas-Costa, Anne M. Moseley
Summary: This study describes the thematic structure and evolution of physical therapy interventions based on articles indexed in PEDro. It also compares the research output and citation impact of different countries and institutions. The study found that neurological rehabilitation, methods, exercise related to lifestyle diseases, and physical activity have become increasingly important. Main producers of this research were traditionally located in North America and Europe, but now include countries like China and Brazil.
BRAZILIAN JOURNAL OF PHYSICAL THERAPY
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhichao Fang, Rodrigo Costas, Paul Wouters
Summary: This study investigates user engagement with scholarly tweets on Twitter, finding that likes are the most prevalent engagement metric and that tweets in the field of Social Sciences and Humanities are more likely to trigger user engagement. User engagement is also more associated with Twitter-related factors than with science-related factors.
Article
Mathematics, Interdisciplinary Applications
Vito D. P. Servedio, Marcia R. Ferreira, Niklas Reisz, Rodrigo Costas, Stefan Thurner
Summary: The regional capability of performing front-running research and technological development is crucial for future wealth creation. The quality and quantity of scientific capabilities in different world regions vary greatly. Through analyzing global scientific activity and researcher mobility data, we found empirical evidence that the process of scientific knowledge accumulation is universal and applies to all regions in various fields. Our research suggests that regions that embrace new technologies earlier tend to dominate the corresponding scientific fields.
CHAOS SOLITONS & FRACTALS
(2023)
Retraction
Computer Science, Interdisciplinary Applications
Giovanni Abramo, Isidro F. Aguillo, Dag W. Aksnes, Kevin Boyack, Quentin L. Burrell, Juan Miguel Campanario, Zaida Chinchilla-Rodriguez, Rodrigo Costas, Ciriaco Andrea D'Angelo, Anne-Wil Harzing, Hamid R. Jamali, Vincent Lariviere, Loet Leydesdorff, Marc Luwel, Ben Martin, Philipp Mayr, Katherine W. McCain, Isabella Peters, Ismael Rafols, Nicolas Robinson-Garcia, Torben Schubert, Henry Small, Cassidy R. Sugimoto, Mike Thelwall, Peter van den Besselaar, Thed van Leeuwen, Ludo Waltman
Article
Information Science & Library Science
Nicolas Robinson-Garcia, Rodrigo Costas, Gabriela F. Nane, Thed N. van Leeuwen
Summary: Evaluation systems are heavily criticized for misusing bibliometric indicators, leading to a culture where academics strive to meet the expected standards. This study investigates the alignment between researchers' values and expectations with the evaluation system. Through a multiple case study, combining curriculum analysis and semi-structured interviews, the research examines how departments in Dutch universities balance their own valuation regimes with the evaluation schemes. The study proposes a model to understand the impact of discipline and career stage on the diversity of academic activities, concluding that the misalignment is not solely due to metric abuse, but also a lack of contextualized and adaptable evaluation tools.
RESEARCH EVALUATION
(2023)
Article
Information Science & Library Science
Adrian A. Diaz-Faes, Oscar Llopis, Pablo D'Este, Jordi Molas-Gallart
Summary: Translational research policies aim to reshape biomedical scientists' research practices to accelerate healthcare improvements. This article analyzes the collaboration networks formed by scientists participating in a translational research initiative, and finds that scientists engage in different types of collaborative behavior and medical innovation activities.
RESEARCH EVALUATION
(2023)
Article
Information Science & Library Science
Javad Hayatdavoudi, Wolfgang Kaltenbrunner, Rodrigo Costas
Summary: Intergovernmental Economic Organizations utilize member countries' scientific capacity to ensure economic prosperity through consensus-based science policies. The D-8 Organization for Economic Cooperation, consisting of eight developing Muslim-majority countries, has implemented various initiatives to promote interstate scientific and technological collaborations. This study provides an overview of the forum's science policies and research performance of member countries over the past two decades. The findings reveal significant disparities in economic prosperity, R&D expenditure, and researcher capacity among the D-8 countries, despite a quadrupling of aggregate research volume in the 2010s compared to the previous decade. Factors such as GDP, R&D expenditure, human development index, GNI per capita, and the number of researchers contribute to the growth of publications in some D-8 countries. Recent scientific policy initiatives of the D-8 organization emphasize knowledge sharing, technology transfer, research collaboration, and investment in R&D infrastructure.
QUANTITATIVE SCIENCE STUDIES
(2023)
Article
Information Science & Library Science
Philippe Mongeon, Timothy D. Bowman, Rodrigo Costas
Summary: The role of research scholars in disseminating scientific knowledge on social media is a central topic in altmetrics research. A novel and simple approach using open data sources allows for the identification of scholars on social media and matching them with their Twitter accounts, with nearly 500,000 scholars matched with high precision.
QUANTITATIVE SCIENCE STUDIES
(2023)
Article
Computer Science, Information Systems
Wenceslao Arroyo-Machado, Adrian A. Diaz-Faes, Enrique Herrera-Viedma, Rodrigo Costas
Summary: Universities are facing increasing demands to improve their visibility, public outreach, and online presence. Scientific reputation is believed to significantly enhance the attention universities receive. However, most assessments of scientific reputation rely on composite or weighted indicators and absolute positions in university rankings. This study takes a more detailed approach by using a multidimensional set of indicators from the Leiden Ranking to evaluate universities' scientific performance and test their individual effects on Wikipedia page views. The study finds a positive association between research performance and Wikipedia attention, both internationally and locally. Additional analysis reveals that productivity, scientific impact, and international collaboration have a curvilinear effect on universities' Wikipedia attention.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2023)
Article
Information Science & Library Science
Wenceslao Arroyo-Machado, Daniel Torres-Salinas, Rodrigo Costas
Summary: This study aims to explore the analytical possibilities of Wikipedia information and provides a methodological framework and open knowledge graph for large-scale research. By comparing the features of Wikipedia pages with those of scientific publications, the similarities and differences between the two types of documents are highlighted. In addition, a dedicated data set of the English Wikipedia is built based on a relational model, and a descriptive case study is conducted to illustrate the analytical potential of the knowledge graph and its metrics.
QUANTITATIVE SCIENCE STUDIES
(2022)
