Frontiers in research metrics and analytics最新文献

{"title":"Editorial: Social technologies for inclusive development: multilevel policy and practices.","authors":"Kleinsy Bonilla, Efraín Bámaca-López, Susana Arrechea, Luis Guillermo Velásquez Perez","doi":"10.3389/frma.2025.1609399","DOIUrl":"https://doi.org/10.3389/frma.2025.1609399","url":null,"abstract":"","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1609399"},"PeriodicalIF":0.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12092459/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144121594","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":"Production and impact of Italian researchers in physical-Sport education and sport pedagogy.","authors":"Francesca D'Elia, Tiziana D'Isanto, Sara Aliberti, Rosario Ceruso, Giovanni Esposito, Gaetano Raiola","doi":"10.3389/frma.2025.1478317","DOIUrl":"10.3389/frma.2025.1478317","url":null,"abstract":"<p><strong>Introduction: </strong>In Italy, legislation in Exercise and sports sciences (ESS) had significant progress, particularly in physical and sport education, as well as sport pedagogy for compulsory teaching of Physical education by master's degree' specialist teachers, for the new profession of kinesiologist and, first the reform of Italian Constitution about social and educational value of movement and sport. The aim of this study was to measure the specific scientific output in ESS and its impact on the scientific community.</p><p><strong>Methods: </strong>Data on global scientific production related to the keywords \"Physical education,\" \"Sport education,\" and \"Sport pedagogy\" were extracted from the Scopus database, including total citations and h-index. Trends among Italian researchers were also examined. Data on the overall scientific output and specific trends of Italian researchers were extracted, along with total citations and h-index. The trends of total and relative metrics (citations and h-index) for the period 2020-2023 were evaluated using Spearman's correlation.</p><p><strong>Results: </strong>Analysis of global scientific production on Scopus revealed 31 ESS faculty members (7 full professors, 15 associate professors and 9 researchers) for \"Sport Education\" keyword, 11 ESS faculty members (2 full professors, 5 associate professors, and 4 researcher) for \"Sport Pedagogy,\" and 18 ESS faculty members (7 full professors, 7 associate professors and 4 researcher) for \"Physical Education.\" Less than half of these researchers are directly framed with ESS. However, despite this minority representation, significant positive correlations emerged between total citations and total H-index for the period 2020-2023 (<i>rs</i> = 0.83), relative citations and relative H-index (<i>rs</i> = 0.61), relative citation and total H-index (<i>rs</i> = 0.32).</p><p><strong>Conclusions: </strong>The positive correlation found between relative citations and the total h-index indicated these scholars had a greater impact with studies relevant to the identified keywords compared to other general topics. The analysis also highlighted the lack of international impact of Italian research in the educational and didactic aspect of ESS, particularly for \"Physical Education.\"</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1478317"},"PeriodicalIF":0.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089037/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112990","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":"Using nuclear magnetic resonance to assist in calculating the structure of Fischer-Tropsch lubricant.","authors":"Hu Li, Tengfei Jiang, Yushan Jiang, Xuemei Liang, Xingyu Su, Liangcheng An, Nana Fan, Likun Yang, Linhua Song","doi":"10.3389/frma.2025.1415831","DOIUrl":"https://doi.org/10.3389/frma.2025.1415831","url":null,"abstract":"<p><p>Research on Fischer-Tropsch (FT) synthetic lubricant base stock products is expected to fill a global gap in high-quality lubricants. However, the lack of identifiable characteristic functional groups in their pure hydrocarbon compositions makes it difficult to accurately analyze their compositions using existing methods. In this study, we propose a method combining nuclear magnetic resonance (NMR) and high-temperature gas-phase analysis to achieve a simple and accurate calculation of the structural information of lubricant base oils. Four structural parameters of FT lubricant base oils-namely, the average carbon number (C^*), the number of branched chain nodes (B), the degree of branching (BI), and the structural index (BC^*)-were successfully calculated using a series of empirical equations. Subsequently, we correlated the molecular structure parameters of the oils with their density, viscosity, viscosity index, and condensation point. Effective fitting equations were developed and quantitatively verified. Studies have shown that the physicochemical properties of lubricant base oils can be related to the structural parameters <i><b>BC</b></i> ^<b>*</b> or <i><b>BBC</b></i> ^<b>*</b> . <i><b>BBC</b></i> ^<b>*</b> fits better, with an <i>R</i> ² value of up to 0.91 or more, except for the condensation point. Density correlates well with viscosity, with a calculation error of <5%. This method of calculating the structural information of lubricant base oils can be applied to the structural determination of many hydrocarbon base oil molecules, while the simulation equations can simultaneously be used as a reference for the structure-function relationship of distillate base oils.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1415831"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12078291/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144082528","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":"Empowering indigenous women in Guatemala: a case study of the role of Digital Community Centers in enhancing digital literacy and changing gender perspectives in Northern Huehuetenango.","authors":"Nereyda Y Ortiz Osejo, Susana Arrechea, Alejandro Alvarado","doi":"10.3389/frma.2025.1488916","DOIUrl":"https://doi.org/10.3389/frma.2025.1488916","url":null,"abstract":"<p><strong>Introduction: </strong>This study examines how Digital Community Centers (DCCs) contribute to the empowerment of indigenous Mayan women in Northern Huehuetenango, Guatemala. Although rural and indigenous communities remain largely excluded from digitalization, the DCC model aims to narrow the digital gap by providing internet access, basic computer training, and workshops on positive masculinities.</p><p><strong>Methods: </strong>We employed a mixed-methods approach, including 10 semi-structured focus groups and 43 surveys. The survey assessed digital literacy and gender attitudes using the GNDR-4 and GEM scales.</p><p><strong>Results: </strong>Findings show significant improvements in women's digital skills after a short training period. These gains enabled participants to reduce travel time for tasks such as processing government documents and to launch small-scale economic initiatives. Participants who attended the positive masculinity training-both men and women-reported more equitable attitudes toward women's leadership and decision-making.</p><p><strong>Discussion: </strong>Despite these gains, participants stressed ongoing barriers-most notably limited infrastructure, constrained financial resources, and insufficient institutional support-that hamper the long-term viability of the DCCs. They also noted a need for more detailed and standardized training on gender topics to sustain changes in attitudes over time. In conclusion, DCCs offer a promising strategy for bridging the digital divide and facilitating women's socio-economic participation, but further research with larger samples and longer follow-up periods is warranted to confirm and expand upon these initial findings.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1488916"},"PeriodicalIF":0.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12069257/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058199","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":"Multi-environment trials data analysis: linear mixed model-based approaches using spatial and factor analytic models.","authors":"Tarekegn Argaw, Berhanu Amsalu Fenta, Habtemariam Zegeye, Girum Azmach, Assefa Funga","doi":"10.3389/frma.2025.1472282","DOIUrl":"https://doi.org/10.3389/frma.2025.1472282","url":null,"abstract":"<p><p>The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the complexity of MET experiments grows. This study presents linear mixed model-based approaches for MET data analysis. Ten MET grain yield datasets from national variety trials in Ethiopia were used. Randomized complete block (RCB) design analysis, spatial analysis, and spatial+genotype-by-environment (G × E) analysis were compared under linear mixed model framework. Spatial analysis detected significant local, global, and extraneous spatial variations, with positive spatial correlations. For the spatial + G × E analysis, increasing the order of the factor analytic (FA) models improved the explanation of G × E variance, though the optimal FA model order was dataset-dependent. Integrating spatial variability through the spatial + G × E modeling approach substantially improved genetic parameter estimates and minimized residual variability. This improvement was particularly notable in larger datasets, where the number of trials and the size of each trial played a crucial role for presence of spatial variability and strong GxE effects. Additionally, the genetic correlation heat maps and dendrograms provided intuitive insights into trial relationships, revealing patterns of strong positive, negative, and weak correlations, as well as distinct trial clusters. The results clearly demonstrate that linear mixed model-based approaches, especially the spatial + G × E analysis excel in capturing complex spatial plot variation and G × E effects in MET data by effectively integrating spatial and FA models. These insights have important implications for improving the efficiency and accuracy of MET data analysis, which is crucial for improving genetic gain estimation in plant breeding and agricultural research, ultimately accelerating the delivery of high-performing crop varieties to farmers and consumers.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1472282"},"PeriodicalIF":0.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034942/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061312","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: Science of science: a complex network perspective.","authors":"Sandro M Reia, Filipi N Silva, Henrique F de Arruda","doi":"10.3389/frma.2025.1595966","DOIUrl":"https://doi.org/10.3389/frma.2025.1595966","url":null,"abstract":"","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1595966"},"PeriodicalIF":0.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12018473/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061310","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":"Erratum: Bibliometrics effects of a new paper level classification.","authors":"","doi":"10.3389/frma.2025.1603155","DOIUrl":"https://doi.org/10.3389/frma.2025.1603155","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/frma.2025.1531758.].</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1603155"},"PeriodicalIF":0.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12018803/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030242","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":"Leading by example: how to empower supervisors as role models.","authors":"Miriam van Loon, Joeri Tijdink, Natalie Evans, Mariëtte Van Den Hoven","doi":"10.3389/frma.2025.1533630","DOIUrl":"https://doi.org/10.3389/frma.2025.1533630","url":null,"abstract":"<p><p>Supervisors are considered to play a pivotal role in stimulating responsible conduct of research (RCR). Their position as supervisors of PhD candidates offers the opportunity to be good <i>role models</i> and show young researchers how to conduct research properly. In this contribution, we delineate what it means to \"lead by example.\" We inquire how the concept of role modeling is currently applied in the context of supervision in general, and in RCR specifically, and present the perspective of empowerment as a fruitful approach to help determine what role modeling should focus on when aiming to foster a positive research culture.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1533630"},"PeriodicalIF":0.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12006121/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046953","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":"Academia's class problem.","authors":"Thomas J Spiegel","doi":"10.3389/frma.2025.1566023","DOIUrl":"https://doi.org/10.3389/frma.2025.1566023","url":null,"abstract":"<p><p>The university has a problem with social class. Actually, it has two problems with class. The first one is that the university as an institution is still largely impervious to people from lower socio-economic backgrounds. In particular, people with middle and upper-middle-class backgrounds are overrepresented especially in very desirable tenured positions. This article offers a brief assessment of the problem, argues that more class diversity in academia is not only a matter of justice, but can also be epistemically beneficial, and finally formulates four desiderata for change.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1566023"},"PeriodicalIF":0.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12006064/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044128","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":"Modernizing CTSA hub evaluation: an integrated system for performance monitoring and translational science impact assessment.","authors":"Maryam Gholami, Elizabeth Johnson, Kera Swanson, Carlos Rojas, Daniel Bouland","doi":"10.3389/frma.2025.1534394","DOIUrl":"https://doi.org/10.3389/frma.2025.1534394","url":null,"abstract":"<p><strong>Background: </strong>The Evaluation Unit at the Altman Clinical and Translational Research Institute (ACTRI) implemented a balanced scorecard model in conjunction with a project management tool to consolidate data collection for progress monitoring, strategic alignment, and impact assessment. This approach aims to streamline communication and enhance information accessibility for all partners. We developed an efficient system for collecting, analyzing, and reporting key information on unit progress, impact, and alignment with institutional goals. The Translational Science Benefits Model (TSBM) was proposed as a framework to evaluate the broader impact of our translational research, beyond immediate scientific advancements, across clinical, societal, economic, and policy domains.</p><p><strong>Methods: </strong>The ACTRI Evaluation Unit initially adapted the balanced scorecard (BSC) to the research environment, substituting business perspectives with research grant aims. In its second iteration, the BSC was integrated into Monday.com, a project management platform, to create customized, real-time monitoring dashboards for each unit within the institute. The Evaluation Unit's 3.0 version further adapted the TSBM to assess the broader impacts of unit activities. Quarterly data collection was implemented, and partners were trained in impact assessment and dashboard usage. This process began in early 2023 and is ongoing.</p><p><strong>Results: </strong>Eleven monitoring dashboards were developed and successfully implemented across the institute. The new system facilitated more efficient data collection and reporting, reducing communication overhead and increasing the frequency of updates. The data collected were utilized to draft annual reports as well as inform strategic planning and executive sessions.</p><p><strong>Conclusions: </strong>Integrating the TSBM into our existing BSC framework, combined with a project management tool, effectively streamlined impact assessment and progress monitoring. This approach not only enhanced data collection and reporting efficiency but also encouraged units to align their goals and activities with desired impacts, thereby strengthening the institute's overall strategic focus.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1534394"},"PeriodicalIF":0.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11994610/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042806","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}