Frontiers in research metrics and analytics最新文献

{"title":"Impact of scientific production of Italian scientists in exercises and sport sciences by measuring the author-weighted <i>h</i>-index.","authors":"Gaetano Raiola, Giovanni Esposito, Rosario Ceruso, Francesca D'Elia, Tiziana D'Isanto","doi":"10.3389/frma.2024.1466811","DOIUrl":"10.3389/frma.2024.1466811","url":null,"abstract":"<p><p>This study aimed to measure the consistency of the impact of scientific production, weighted by authorship, of Italian scientists in two academic disciplines (AD) of Exercise and Sports Sciences (ESS) from 2017 to 2022, with a specific focus on the subfield \"Sport Sciences\", using topic-specific keywords. Through the Scopus database, the scientific products of Italian ESS scientists associated with each keyword were identified. Subsequently, total and relative metric parameters from 2017 to 2022 were collected, including the total and relative number of citations. To evaluate the impact of the publications, the total and relative <i>h</i>-index were calculated, and weighted by considering different categories of authorship. Specific weights were attributed to each category: single author, first author, last author and co-author, following the classifications already in use on Scopus for each author. The trends of total and relative metrics, including citations and <i>h</i>-index, from 2017 to 2022 were analyzed using Spearman's correlation. Non-parametric linear regression analysis was used for the predictive analysis of these trends. Among the 83 identified ESS scientists, a detailed analysis revealed that 31.3% were full professors, 42.1% associate professors, and 26.6% researchers. Less than half of these scientists were directly affiliated with ESS. Despite minority representation, significant positive correlations emerge between total and relative citations from 2017 to 2022 (<i>r</i> = 0.687) and between the weighted total <i>h</i>-index and the weighted relative <i>h</i>-index (<i>r</i> = 0.965). Significant trends emerge in the metric parameters of the same scientists when analyzed separately by AD. The regression results indicate that variations in total citations and the weighted total and relative <i>h</i>-index can predict or explain the observed changes in 2017-2022 <i>(p</i> < 0.05). This result suggests that the production and impact of research in the field of ESS follow the same general trend as production and impact in the specific subfield.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1466811"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11564167/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142649738","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":"Acquaintance, attitude, and perceived barriers regarding scientific research publications among clinical nurses: a cross-sectional study at tertiary care hospitals in western Rajasthan.","authors":"Nipin Kalal, N Sabari Vel, Saroj Chaudhary, Savita Meena, Sonam Meena, Sonu Bhichar, Spraha Singh","doi":"10.3389/frma.2024.1423963","DOIUrl":"https://doi.org/10.3389/frma.2024.1423963","url":null,"abstract":"<p><strong>Introduction: </strong>In today's era, conducting nursing research is crucial for the advancement of the nursing profession. Scientific publications in clinical research aim to improve patient care outcomes and foster a sense of importance for nurses within the healthcare team. However, clinical nurses often fall behind due to factors such as limited familiarity, attitudes toward research, and encountered barriers.</p><p><strong>Objectives: </strong>This study was conducted to assess the knowledge, attitude, and perceived barriers regarding scientific research publications among clinical nurses at tertiary care hospitals in western Rajasthan.</p><p><strong>Methodology: </strong>A cross-sectional descriptive study was conducted among the clinical nurses. The participants were assessed for their knowledge, attitude, and perceived barriers regarding scientific research publications through a self-administered questionnaire.</p><p><strong>Results: </strong>The study revealed that 92% of the participants lacked sufficient knowledge about scientific research publications and 78.3% experienced moderate perceived barriers. Pearson's correlation coefficient indicated a weak positive correlation (<i>r</i> = 0.143, <i>p</i> = 0.007) between knowledge and attitude and a significant negative correlation (<i>r</i> = -0.143, <i>p</i> = 0.012) between knowledge and perceived barriers. However, multiple linear regression analysis showed no significant relationship among the clinical nurses in terms of knowledge, attitude, and perceived barriers toward scientific research publications.</p><p><strong>Conclusion: </strong>This study on clinical nurses revealed that the majority had insufficient knowledge about scientific research, while over half had neutral attitudes toward research publications. In addition, a significant portion of the clinical nurses reported experiencing moderate perceived barriers.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1423963"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142634008","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":"Navigating algorithm bias in AI: ensuring fairness and trust in Africa.","authors":"Notice Pasipamire, Abton Muroyiwa","doi":"10.3389/frma.2024.1486600","DOIUrl":"https://doi.org/10.3389/frma.2024.1486600","url":null,"abstract":"<p><p>This article presents a perspective on the impact of algorithmic bias on information fairness and trust in artificial intelligence (AI) systems within the African context. The author's personal experiences and observations, combined with relevant literature, formed the basis of this article. The authors demonstrate why algorithm bias poses a substantial challenge in Africa, particularly regarding fairness and the integrity of AI applications. This perspective underscores the urgent need to address biases that compromise the fairness of information dissemination and undermine public trust. The authors advocate for the implementation of strategies that promote inclusivity, enhance cultural sensitivity, and actively engage local communities in the development of AI systems. By prioritizing ethical practices and transparency, stakeholders can mitigate the risks associated with bias, thereby fostering trust and ensuring equitable access to technology. Additionally, the article explores the potential consequences of inaction, including exacerbated social disparities, diminished confidence in public institutions, and economic stagnation. Ultimately, this work argues for a collaborative approach to AI that positions Africa as a leader in responsible development, ensuring that technology serves as a catalyst for sustainable development and social justice.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1486600"},"PeriodicalIF":0.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540688/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607732","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":"The ethics of knowledge sharing: a feminist examination of intellectual property rights and open-source materials in gender transformative methodologies.","authors":"Leah Goldmann, Alice Welbourn, Diane Gillespie, Nastnet Ghebrebhran, Lufuno Barro, Sara Siebert, Hawa Kagoya, Lori Michau, Anjalee Kohli, Tina Musuya, Sonia Rebecca Kusiima","doi":"10.3389/frma.2024.1321302","DOIUrl":"https://doi.org/10.3389/frma.2024.1321302","url":null,"abstract":"<p><p>Debates on intellectual property rights and open source frequently stem from the business sector and higher education, where goals are typically oriented toward profit, academic status, credit, and/or reputation. What happens if we reconsider the ethics of intellectual property rights and open source when our driving motivation is advancing women's health and rights? How does this prioritization complicate our assumptions of copyright and open access? How can we embark on a journey that validates the complex realities of multiple stakeholders who have good intent, but do not always consider the unintended impacts and the broader power dynamics at play? This paper explores the tensions and nuances of sharing methodologies that aim to transform harmful gender norms in an ecosystem that does not always consider the complex challenges behind intellectual property and open-source material. As a thought-collective dedicated to using a feminist approach to unpack and promote the principles of ethical, effective, and sustainable scale, we hope to underscore how the current research and debates on intellectual property rights and open-source material have good aims but may also fall short in encompassing the realities of gendered social norms change in and with communities around the world. We conclude with key recommendations for donors, researchers, International Development Corporations, International Non-Governmental Organizations, and those interested in using or adapting dynamic, gender transformative materials created by others.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1321302"},"PeriodicalIF":0.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11484087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142482378","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":"Complexity and phase transitions in citation networks: insights from artificial intelligence research.","authors":"Ariadne A Costa, Rafael B Frigori","doi":"10.3389/frma.2024.1456978","DOIUrl":"10.3389/frma.2024.1456978","url":null,"abstract":"<p><p>In this study, we analyze the changes over time in the complexity and structure of words used in article titles and the connections between articles in citation networks, focusing on the topic of artificial intelligence (AI) up to 2020. By measuring unpredictability in word usage and changes in the connections between articles, we gain insights into shifts in research focus and diversity of themes. Our investigation reveals correspondence between fluctuations in word complexity and changes in the structure of citation networks, highlighting links between thematic evolution and network dynamics. This approach not only enhances our understanding of scientific progress but also may help in anticipating emerging fields and fostering innovation, providing a quantitative lens for studying scientific domains beyond AI.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1456978"},"PeriodicalIF":0.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11461216/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395688","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":"Designing measures of complex collaborations with participatory, evidence-centered design.","authors":"Caitlin C Farrell, William R Penuel, Paula Arce-Trigatti, James Soland, Corinne Singleton, Alison Fox Resnick, Kristina Stamatis, Robbin Riedy, Erin Henrick, Stacey Sexton, Sarah Wellberg, Danny Schmidt","doi":"10.3389/frma.2024.1210547","DOIUrl":"10.3389/frma.2024.1210547","url":null,"abstract":"<p><p>An increasingly popular form of collaboration involves forming partnerships among researchers, educators, and community members to improve or transform education systems through research inquiry. However, not all partnerships are successful. The field needs valid, reliable, and useful measures to help with assessing progress toward partnership goals. In this community case study, we present a participatory, mixed-methods approach for creating measures to assess the progress of education research-practice partnerships (RPPs). The case illustrates a novel approach to measurement design, driven by perspectives and feedback of over 300 members of 80 partnerships. As a result, the measures align with the values and practices of the very collaborations the measures were intended to assess.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1210547"},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11345517/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142074675","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":"Patent data-driven analysis of literature associations with changing innovation trends.","authors":"Adrian Sven Geissler, Jan Gorodkin, Stefan Ernst Seemann","doi":"10.3389/frma.2024.1432673","DOIUrl":"10.3389/frma.2024.1432673","url":null,"abstract":"<p><p>Patents are essential for transferring scientific discoveries to meaningful products that benefit societies. While the academic community focuses on the number of citations to rank scholarly works according to their \"scientific merit,\" the number of citations is unrelated to the relevance for patentable innovation. To explore associations between patents and scholarly works in publicly available patent data, we propose to utilize statistical methods that are commonly used in biology to determine gene-disease associations. We illustrate their usage on patents related to biotechnological trends of high relevance for food safety and ecology, namely the CRISPR-based gene editing technology (>60,000 patents) and cyanobacterial biotechnology (>33,000 patents). Innovation trends are found through their unexpected large changes of patent numbers in a time-series analysis. From the total set of scholarly works referenced by all investigated patents (~254,000 publications), we identified ~1,000 scholarly works that are statistical significantly over-represented in the references of patents from changing innovation trends that concern immunology, agricultural plant genomics, and biotechnological engineering methods. The detected associations are consistent with the technical requirements of the respective innovations. In summary, the presented data-driven analysis workflow can identify scholarly works that were required for changes in innovation trends, and, therefore, is of interest for researches that would like to evaluate the relevance of publications beyond the number of citations.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1432673"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11324476/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141989692","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":"Politicizing science funding undermines public trust in science, academic freedom, and the unbiased generation of knowledge","authors":"Igor R. Efimov, Jeffrey S. Flier, Robert P. George, Anna I. Krylov, Luana S. Maroja, Julia Schaletzky, Jay Tanzman, Abigail Thompson","doi":"10.3389/frma.2024.1418065","DOIUrl":"https://doi.org/10.3389/frma.2024.1418065","url":null,"abstract":"This commentary documents how federal funding agencies are changing the criteria by which they distribute taxpayer money intended for scientific research. Increasingly, STEMM (Science, Technology, Engineering, Mathematics, and Medicine) funding agencies are requiring applicants for funding to include a plan to advance DEI (“Diversity, Equity, and Inclusion”) in their proposals and to dedicate a part of the research budget to its implementation. These mandates undermine the academic freedom of researchers and the unbiased generation of knowledge needed for a well-functioning democracy. Maintaining excellence in science is fundamental to the continuation of the U.S. as a global economic leader. Science provides a basis for solving important global challenges such as security, energy, climate, and health. Diverting funding from science into activities unrelated to the production of knowledge undermines science's ability to serve humankind. When funding agencies politicize science by using their power to further a particular ideological agenda, they contribute to public mistrust in science. Hijacking science funding to promote DEI is thus a threat to our society.","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"98 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141812455","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":"The H-index is an unreliable research metric for evaluating the publication impact of experimental scientists","authors":"M. K. Akhtar","doi":"10.3389/frma.2024.1385080","DOIUrl":"https://doi.org/10.3389/frma.2024.1385080","url":null,"abstract":"","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141822757","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":"The Method of Everything vs. Experimenter Bias of Loophole-Free Bell Experiments","authors":"Manuel S. Morales","doi":"10.3389/frma.2024.1404371","DOIUrl":"https://doi.org/10.3389/frma.2024.1404371","url":null,"abstract":"Experimenter bias compromises the integrity and advancement of science, especially when awarded as such. For example, the 2022 Nobel Prize in Physics awarded for the loophole-free experiments that tested physicist John S. Bell's inequality theorem. These experiments employed the logic of conducting local experiments to obtain local evidence that contradicted local realistic theories of nature, thereby validating quantum mechanics as a fundamental non-local theory. However, there was one loophole that was wittingly not tested by the Nobel laureates. The notable exception was Bell's “super-deterministic” loophole, which was validated (2000) (2001) (2002) (2003) (2004) (2005) (2006) (2007) (2008) (2009) (2010) (2011) (2012) non-locally, thus compromising the subsequent Nobel Prize. More importantly, the discovery of two mutually exclusive and jointly exhaustive non-local hidden variables revealed why local scientific methods obtain false-positive and false-negative results. With knowledge of this fundamental omission, the inclusion of the non-local hidden variables in the local methods used in science can then advance it to be a complete study of nature.","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141658428","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}