Frontiers in research metrics and analytics最新文献

{"title":"Scholar Metrics Scraper (SMS): automated retrieval of citation and author data.","authors":"Yutong Cao, Nicole A Cheung, Dean Giustini, Jeffrey LeDue, Timothy H Murphy","doi":"10.3389/frma.2024.1335454","DOIUrl":"10.3389/frma.2024.1335454","url":null,"abstract":"<p><p>Academic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created Scholar Metrics Scraper (SMS) to automate the retrieval of bibliometric data for a group of researchers. The project contains Jupyter notebooks that take a list of researchers as an input and exports a CSV file of citation metrics from Google Scholar (GS) to visualize the group's impact and collaboration. A series of graph outputs are also available. SMS is an open solution for automating the retrieval and visualization of citation data.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1335454"},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10917922/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140061456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial bullying: an exploration of acts impacting publication ethics and related environment.","authors":"Fawad Javed, Dimitrios Michelogiannakis, P Emile Rossouw","doi":"10.3389/frma.2024.1345553","DOIUrl":"10.3389/frma.2024.1345553","url":null,"abstract":"<p><p>Bullying and misconduct in the realm of scientific and scholarly publishing have the potential to jeopardize the transparency and integrity of academic discourse. While misconduct issues among authors have been extensively discussed, the role of editors in perpetuating or mitigating such problems has garnered less attention. Scientific publishing serves as the gateway for disseminating innovative research findings globally, and the role of editors, especially Editor/s-in-chief, is pivotal in safeguarding the rigor and credibility of published research. Editor bullying and misconduct involve behaviors that undermine the scientific process, compromise research integrity, and harm the careers and wellbeing of individuals. These actions may manifest as biased decision-making, suppression of dissenting voices, or the exploitation of power dynamics in the peer review process. To address these issues, preventive and therapeutic approaches are suggested, including enhancing awareness, recognizing and mitigating exacerbating factors, and upholding professionalism. Moreover, the importance of a conflict-of-interest declaration for editors is highlighted to ensure transparency and integrity in the editorial process. The present mini-review aims to shed light on editor bullying, illuminating its gravity and the urgency to address these issues within the academic publishing domain/s. This review underscores the more subtle, yet equally significant, issue of professional misconduct in the editorial realm of scientific journals.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1345553"},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10915017/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140051184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing organizational processes for service innovation: strategic organizational counseling and organizational network analysis.","authors":"Silvia Marocco, Mara Marini, Alessandra Talamo","doi":"10.3389/frma.2024.1270501","DOIUrl":"10.3389/frma.2024.1270501","url":null,"abstract":"<p><p>Previous studies have primarily focused on product innovation, overlooking the examination of organizational processes. This limited perspective poses a theoretical and practical gap as it primarily considers the external aspects of innovation. On the contrary, organizational processes play a crucial role in improving and creating internal operations necessary for product/service innovation success. To this aim, this paper presents a novel approach to enhancing service innovation within complex organizations by integrating Strategic Organizational Counseling (SOC) and Organizational Network Analysis (ONA) methodologies. More specifically, SOC supports organizations in understanding and defining the professional families that need to be triggered in the service ideation, delivery and commercialization process, especially in the case of complex organizations with multiple departments. Secondly, ONA enables the identification of the intra-organizational nodes within the professional families that, due to their social position and other personal characteristics, can be actively engaged as Ambassadors for the promotion of innovation practices. By focusing on intra-organizational processes, understanding role-related needs, and selecting influential organizational actors, this approach provides a new perspective on the service innovation process, assuming both a micro and macro viewpoint. The paper also highlights the importance of cyclically monitoring the proposed workflow to adapt to the dynamic nature of innovation.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1270501"},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10859392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139731219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric properties of the TACT framework—Determining rigor in qualitative research","authors":"Ben Kei Daniel, Mustafa Asil, Sarah Carr","doi":"10.3389/frma.2023.1276446","DOIUrl":"https://doi.org/10.3389/frma.2023.1276446","url":null,"abstract":"The credibility of qualitative research has long been debated, with critics emphasizing the lack of rigor and the challenges of demonstrating it. In qualitative research, rigor encompasses explicit, detailed descriptions of various research stages, including problem framing, study design, data collection, analysis, and reporting. The diversity inherent in qualitative research, originating from various beliefs and paradigms, challenges establishing universal guidelines for determining its rigor. Additionally, researchers' often unrecorded thought processes in qualitative studies further complicate the assessment of research quality.To address these concerns, this article builds on the TACT framework, which was developed to teach postgraduate students and those new to qualitative research to identify and apply rigorous principles and indicators in qualitative research. The research reported in this article focuses on creating a scale designed to evaluate the psychometric properties of the TACT framework. This involves analyzing the stability of its dimensions and understanding its effectiveness as a tool for teaching and research.The study's findings indicate that the TACT framework, when assessed through the newly developed scale, exhibits stable dimensions consistent with rigorous qualitative research principles. The framework effectively guides postgraduate students and new researchers in assessing the rigor of qualitative research processes and outcomes.The application of the TACT framework and its evaluation scale reveals several insights. Firstly, it demonstrates the framework's utility in bridging the gap in pedagogical tools for teaching rigor in qualitative research methods. Secondly, it highlights the framework's potential in providing a structured approach to undertaking qualitative research, which is essential given this field's diverse methodologies and paradigms. However, the TACT framework remains a guide to enhancing rigor in qualitative research throughout all the various phases but by no means a measure of rigor.In conclusion, the TACT framework and its accompanying evaluative scale represent significant steps toward standardizing and enhancing the rigor of qualitative research, particularly for postgraduate students and early career researchers. While it does not solve all challenges associated with obtaining and demonstrating rigor in qualitative research, it provides a valuable tool for assessing and ensuring research quality, thereby addressing some of the longstanding criticisms of the quality of research obtained through qualitative methods.","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139447003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Appraising systematic reviews: a comprehensive guide to ensuring validity and reliability","authors":"Nour Shaheen, Ahmed Shaheen, Alaa Ramadan, M. Hefnawy, Abdelraouf Ramadan, Ismail A. Ibrahim, Maged Elsayed Hassanein, Mohamed E. Ashour, Oliver Flouty","doi":"10.3389/frma.2023.1268045","DOIUrl":"https://doi.org/10.3389/frma.2023.1268045","url":null,"abstract":"Systematic reviews play a crucial role in evidence-based practices as they consolidate research findings to inform decision-making. However, it is essential to assess the quality of systematic reviews to prevent biased or inaccurate conclusions. This paper underscores the importance of adhering to recognized guidelines, such as the PRISMA statement and Cochrane Handbook. These recommendations advocate for systematic approaches and emphasize the documentation of critical components, including the search strategy and study selection. A thorough evaluation of methodologies, research quality, and overall evidence strength is essential during the appraisal process. Identifying potential sources of bias and review limitations, such as selective reporting or trial heterogeneity, is facilitated by tools like the Cochrane Risk of Bias and the AMSTAR 2 checklist. The assessment of included studies emphasizes formulating clear research questions and employing appropriate search strategies to construct robust reviews. Relevance and bias reduction are ensured through meticulous selection of inclusion and exclusion criteria. Accurate data synthesis, including appropriate data extraction and analysis, is necessary for drawing reliable conclusions. Meta-analysis, a statistical method for aggregating trial findings, improves the precision of treatment impact estimates. Systematic reviews should consider crucial factors such as addressing biases, disclosing conflicts of interest, and acknowledging review and methodological limitations. This paper aims to enhance the reliability of systematic reviews, ultimately improving decision-making in healthcare, public policy, and other domains. It provides academics, practitioners, and policymakers with a comprehensive understanding of the evaluation process, empowering them to make well-informed decisions based on robust data.","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"36 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138950015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing public sector enterprise risk management through interactive information processing","authors":"T. Andersen, Peter C. Young","doi":"10.3389/frma.2023.1239447","DOIUrl":"https://doi.org/10.3389/frma.2023.1239447","url":null,"abstract":"Federal agencies are increasingly expected to adopt enterprise risk management (ERM). However, public sector adoption of ERM has typically focused on the economic efficiency of tax-financed activities based on control-based practices. This reflects an emphasis on quantifiable concerns that invariably directs attention to risk, that (by definition) relates to identifiable and measurable events, thereby downplaying uncertain and unknown aspects of public exposures. This is a potentially serious shortcoming as government entities often act as society's risk managers of last resort. When extreme events happen what were previously considered private matters can quickly turn into public obligations. Hence, there is a need for proactive assessments of the evolving public risk landscape to discern unpredictable-even unknowable-developments.The article reviews recent empirical studies on public risk management practices, effects of digitalization in public sector institutions, current strategic management research, and insights uncovered from a recent study of risk management practices in federal agencies. On this basis, the article explains how the ability to generate value from ERM can be enhanced when it intertwines with local responsive initiatives and central strategic risk analyses. It can form a dynamic adaptive risk management process where insights from dispersed actors inform updated risk analyses based on local autonomy and open exchange of information. This approach builds on specific structural features embedded in culture-driven aspirations to generate collaborative solutions. Its functional mode is an interactive control system with open discussions across levels and functions in contrast to conventional diagnostic controls that monitor predetermined key performance indicators (KPIs) and key risk indicators (KRIs).Backed by theoretical rationales and empirical research evidence, it is found that applications of ERM frameworks can produce positive results but is unable to deal with a public risk landscape characterized by uncertain unpredictable conditions with potentially extreme outcome effects. It is shown how interactive exchange of fast local insights and slow integrated strategic risk analyses supported by digitized data processing can form a dynamic adaptive system that enable public sector institutions to deal with emergent high-scale exposures. It is explained how the requirement for conducive organizational structures and supportive values require a new strategic risk leadership approach, which is contrasted to observed practices in federal agencies that are constrained by prevailing public governance requirements.The need to deal with uncertainty and unknown conditions demands a cognitive shift in current thinking from a primary focus on risk to also appraise complexity and prepare for the unexpected where data-driven methods can uncover emergent exposures through dynamic information processing. This requires strategic risk leader","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"12 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138956013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A metric learning-based method for biomedical entity linking","authors":"Ngoc D. Le, Nhung T. H. Nguyen","doi":"10.3389/frma.2023.1247094","DOIUrl":"https://doi.org/10.3389/frma.2023.1247094","url":null,"abstract":"Biomedical entity linking task is the task of mapping mention(s) that occur in a particular textual context to a unique concept or entity in a knowledge base, e.g., the Unified Medical Language System (UMLS). One of the most challenging aspects of the entity linking task is the ambiguity of mentions, i.e., (1) mentions whose surface forms are very similar, but which map to different entities in different contexts, and (2) entities that can be expressed using diverse types of mentions. Recent studies have used BERT-based encoders to encode mentions and entities into distinguishable representations such that their similarity can be measured using distance metrics. However, most real-world biomedical datasets suffer from severe imbalance, i.e., some classes have many instances while others appear only once or are completely absent from the training data. A common way to address this issue is to down-sample the dataset, i.e., to reduce the number instances of the majority classes to make the dataset more balanced. In the context of entity linking, down-sampling reduces the ability of the model to comprehensively learn the representations of mentions in different contexts, which is very important. To tackle this issue, we propose a metric-based learning method that treats a given entity and its mentions as a whole, regardless of the number of mentions in the training set. Specifically, our method uses a triplet loss-based function in conjunction with a clustering technique to learn the representation of mentions and entities. Through evaluations on two challenging biomedical datasets, i.e., MedMentions and BC5CDR, we show that our proposed method is able to address the issue of imbalanced data and to perform competitively with other state-of-the-art models. Moreover, our method significantly reduces computational cost in both training and inference steps. Our source code is publicly available here.","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":" 1057","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138960311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantum technology for development framework as a tool for science diplomacy","authors":"M. Mafu, Makhamisa Senekane","doi":"10.3389/frma.2023.1279376","DOIUrl":"https://doi.org/10.3389/frma.2023.1279376","url":null,"abstract":"The state-of-the-art quantum technologies leverage the unique principles of quantum mechanics, which include quantization, uncertainty principle, interference, entanglement and decoherence, to produce useful devices and scientific advancements not possible with classical technologies. As a result, quantum technologies, in particular, offer specific advantages that make communications networks secure and unbreakable and devices with unprecedented levels of accuracy, responsiveness, reliability, scalability and efficiency than classical emerging technologies. These capabilities can contribute significantly to addressing energy, agriculture, climate change, national security, healthcare, education and economic growth challenges. Unfortunately, these developments in these areas have not been evenly distributed between the Global North and the Global South, inadvertently creating a societal and economic gap. Closing this gap is critical to creating a more inclusive and sustainable future for all, thus delivering key sustainable goals. Therefore, to close this gap, this article proposes a quantum diplomacy framework as a means to deliver science diplomacy. Moreover, we discuss how emerging quantum technologies could profoundly impact all 17 United Nations Sustainable Development Goals. We consider this work a timely and vital intervention to prevent the gap from increasing.","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":" 80","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138961346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum: Corrigendum: Evaluative altmetrics: is there evidence for its application to research evaluation?","authors":"Wenceslao Arroyo-Machado, Daniel Torres-Salinas","doi":"10.3389/frma.2023.1331874","DOIUrl":"https://doi.org/10.3389/frma.2023.1331874","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/frma.2023.1295959.].</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"8 ","pages":"1331874"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10722579/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138814586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Depression, anxiety, and burnout in academia: topic modeling of PubMed abstracts.","authors":"Olga Lezhnina","doi":"10.3389/frma.2023.1271385","DOIUrl":"https://doi.org/10.3389/frma.2023.1271385","url":null,"abstract":"<p><p>The problem of mental health in academia is increasingly discussed in literature, and to extract meaningful insights from the growing amount of scientific publications, text mining approaches are used. In this study, BERTopic, an advanced method of topic modeling, was applied to abstracts of 2,846 PubMed articles on depression, anxiety, and burnout in academia published in years 1975-2023. BERTopic is a modular technique comprising a text embedding method, a dimensionality reduction procedure, a clustering algorithm, and a weighing scheme for topic representation. A model was selected based on the proportion of outliers, the topic interpretability considerations, topic coherence and topic diversity metrics, and the inevitable subjectivity of the criteria was discussed. The selected model with 27 topics was explored and visualized. The topics evolved differently with time: research papers on students' pandemic-related anxiety and medical residents' burnout peaked in recent years, while publications on psychometric research or internet-related problems are yet to be presented more amply. The study demonstrates the use of BERTopic for analyzing literature on mental health in academia and sheds light on areas in the field to be addressed by further research.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"8 ","pages":"1271385"},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10711630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138814595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}