Top Institutions Research Articles

Evaluation of readability of patient education materials on lateral epicondylitis (tennis elbow) from the top 25 orthopedic institutions

Lateral epicondylitis (LE), also known as "tennis elbow," is a common orthopedic tendinosis of the elbow that affects between 1% and 3% of the overall population. LE occurs due to overuse of the extensor mechanism or muscles of supination in the forearm. The National Institute of Health and the Center for Disease Control suggest that patient education materials (PEMs) be written at a 6th or 8th grade reading level, respectively; however, PEMs are often written far beyond these recommended reading levels. The goal of this study was to assess the readability level of PEMs published by some of the top orthopedic institutions throughout the United States. A list of the top 25 ranking orthopedic hospitals in the country was compiled using the 2022 U.S. News and World Report Best Hospitals Specialty Ranking. PEMs related to LE were cataloged from each institution's website, and readability levels for each PEM were measured using the http://www.readabilityformulas.com website. This software analyzes readability using the formulas listed in Table1. While the Flesch-Kincaid (FK) Reading Ease Score formula outputs a number from 0 to 100, in which larger numbers indicate easier reading, the remaining formulas demonstrate a text's readability through assigning a grade-appropriate reading level. A Spearman regression was used to evaluate correlation between institutional ranking and FK Reading Ease Scores. Of the 25 PEM texts analyzed during this study, none were written at or below the sixth grade reading level, as recommended by the National Institutes of Health. These results suggest that the most prestigious orthopedic hospitals provide online informational resources that are unable to be read or understood by a large portion of the institution's intended audience. Additionally, there was no correlation found between institutional ranking and FK Reading Ease Score. Internet-based health information has conveniently allowed patients to educate themselves on their health care. In accordance with National Institutes of Health and Centers for Disease Control and Prevention guidelines, orthopedic institutions should strive to publish PEMs at or below an eighth grade reading level.

Magnetic resonance imaging of white matter in Alzheimer's disease: a global bibliometric analysis from 1990 to 2022.

Alzheimer's disease (AD) is a common, progressive, irreversible, and fatal neurodegenerative disorder with rapidly increasing worldwide incidence. Although much research on magnetic resonance imaging (MRI) of the white matter (WM) in AD has been published, no bibliometric analysis study has investigated this issue. Thus, this study aimed to provide an overview of the current status, hotspots, and trends in MRI of WM in AD. We searched for records related to MRI studies of WM in AD from 1990 to 2022 in the Web of Science Core Collection (WOSCC) database. CiteSpace (version 5.1.R8) and VOSviewer (version 1.6.19) software were used for bibliometric analyses. A total of 2,199 articles were obtained from this study. From 1990 to 2022, the number of published articles showed exponential growth of y = 4.1374e0.1294x, with an average of 17.9 articles per year. The top country and institutions were the United States and the University of California Davis, accounting for 44.52 and 5.32% of the total studies, respectively. The most productive journal was Neurology, and the most co-cited journal was Lancet Neurology. Decarli C was the most productive author. The current research frontier trend focuses on the association between small vessel disease and AD, the clinical application and exploration of diffusion MRI, and related markers. This study provides an in-depth overview of publications on MRI of WM in AD, identifying the current research status, hotspots, and frontier trends in the field.

Readability assessment of patient educational materials for pediatric spinal conditions from top academic orthopedic institutions.

The Internet has become a popular source of health information for patients and their families. Healthcare experts recommend that the readability of online education materials be at or below a sixth grade reading level. This translates to a standardized Flesch Reading Ease Score between 81 and 90, which is equivalent to conversational English. However, previous studies have demonstrated that the readability of online education materials of various orthopedic topics is too advanced for the average patient. To date, the readability of online education materials for pediatric spinal conditions has not been analyzed. The objective of this study was to assess the readability of online educational materials of top pediatric orthopedic hospital websites for pediatric spinal conditions. Online patient education materials from the top 25 pediatric orthopedic institutions, as ranked by the U.S. News and World Report hospitals for pediatric orthopedics, were assessed utilizing multiple readability assessment metrics including Flesch-Kincaid, Flesch Reading Ease, Gunning Fog Index, and others. Correlations between academic institutional ranking, geographic location, and the use of concomitant multimedia modalities with Flesch-Kincaid scores were evaluated using a Spearman regression. Only 32% (8 of 25) of top pediatric orthopedic hospitals provided online health information at or below a sixth grade reading level. The mean Flesch-Kincaid score was 9.3 ± 2.5, Flesch Reading Ease 48.3 ± 16.2, Gunning Fog Score 10.7 ± 3.0, Coleman-Liau Index 12.1 ± 2.8, Simple Measure of the Gobbledygook Index 11.7 ± 2.1, Automated Readability Index 9.0 ± 2.7, FORCAST 11.3 ± 1.2, and Dale-Chall Readability Index 6.7 ± 1.4. There was no significant correlation between institutional ranking, geographic location, or use of video material with Flesch-Kincaid scores (p = 0.1042, p = 0.7776, p = 0.3275, respectively). Online educational material for pediatric spinal conditions from top pediatric orthopedic institutional websites is associated with excessively complex language which may limit comprehension for the majority of the US population. Economic and Decision Analysis/level III.

Preface

The 13th Asia Conference on Mechanical and Aerospace Engineering (ACMAE 2022) was held in Chengdu, Sichuan, China during December 22-24, 2022, following the successful conferences in Nanjing the year before; online in 2020, Bangkok; Thailand in 2019; Singapore in 2018 and Yokohama, Japan in 2017. ACMAE 2022 is sponsored by Sichuan Institute of Electronics, Science and Engineering Institute, co-sponsored by Nanjing University of Science and Technology, Moscow Bauman State Technical University, technically supported by Capitol Technology University, Washington University in St. Louis. This is truly a supported conference on a global scale that few match. However, Since the outbreak of the global covid-19 pandemic, it has been a challenge for the academic community to organize international conferences due to travel restrictions. Considering the safety of the participants, this time we have decided to take the conference online.This international conference was over three-days and provided a forum for discussion of mechanical and aerospace engineering. Submitted papers were received and sent for preliminary and peer review conducted by the technical committees. Professional comments are given according to the aspects of originality, innovation, applicability, technical merit, organizing and writing, relevance to conference. After several rounds of review procedure, some excellent papers have been received to get published in the conference proceedings. The proceedings contains a collection of research papers, organized with 9 chapters: material design and performance simulation, engine modeling and performance optimization, aircraft structure design and control model, control model and reliability analysis in mechanical and electronic systems, space propulsion system and reliability analysis, attitude control and trajectory tracking of UAV and helicopter, aerospace engineering and safety management, power mechanical design and performance measurement, mechanical vibration and mechanical analysis and so on.The conference invited five internationally recognised experts in their fields of mechanical and aerospace engineering to deliver keynote and invite speeches, including Professor Junhui Hu, Nanjing University of Aeronautics and Astronautics, China (Chang-Jiang Distinguished, IAAM Fellow); Professor Naira Hovakimyan, University of llinois, USA (IEEE Fellow); Professor Anbang Sun, Xi’an Jiaotong University, China; Professor Qing Guo, University of Electronic Science and Technology of China, China. Each speaker has delivered the speech more than 30 minutes. In addition, around 100 experts and scholars and listeners from the world’s top research institutes of aerospace technology, including Samara University in Russia, as well as domestic senior research institutes of aerospace technology, including Northwestern Polytechnical University, Nanjing University of Aeronautics and Astronautics, Beihang University, Nanjing University of Science and Technology, attended the conference.We would especially like to thank the organization committees, the members of the program committees and technical committees. They have worked very hard in reviewing papers and making valuable suggestions for the authors to improve their work. We also would like to express our gratitude to the external reviewers, for providing extra helps in the review process, and the authors for contributing their research result to the conference. Without such support a conference cannot maintain quality or add real original contributions to knowledge. It goes without saying, it is core to success, but here we re-iterate that point.On behalf of organizing committees, we would like to express our sincere gratitude to all participants and speakers who contribute to make this event a great success.Conference ChairProf. Ian McAndrewACMAE 2022List of Organizing Committees are available in this Pdf.

Police Brutality as Human Rights Violation: A Study Case of Black Lives Matter

Today’s unresolved human rights issue is racial misbehavior and police brutality in all of its manifestations. The United States of America stands as a horrifying example of a State that has failed to protect its citizens against bigotry. This has been especially visible in recent years, with several incidents of unjustified police shootings of African-Americans culminating in the formation of the global movement known as “Black Lives Matter,” abbreviated as BLM, which began quietly as a Twitter hashtag. Thus, this study addressed how the legal enforcement against police brutality in the case of Black Lives Matter in the US in regards to human rights violations based on international human rights perspective. The author employed normative research in this study which focuses on library (literature) studies and emphasizes reading and analyzing resources. The result showed that police brutality against Black people is common in the US. Despite the fact that the US has considered regulatory frameworks that establish standards that address discriminatory racial practices in the targeting and killing of unarmed Black boys and men, the implementation of police brutality protection in the US has yet to be effective and thorough. As a result, national action is required to address this issue. There is an urgent need for top management and institutions to step up their supervision of police behavior in order to address the abuse of power by some police forces.

Invisible hurdles: Gender and institutional differences in the evaluation of economics papers

AbstractHow might the visibility of an author's name and/or institutional affiliation allow bias to enter the evaluation of economics papers? We ask highly qualified journal editors to review abstracts of solo‐authored papers which differ along the dimensions of gender and institution of the author. We exogenously vary whether editors observe the name and/or institution of the author. We identify positive name visibility effects for female economists and positive institution visibility effects for economists at the top institutions. Our results suggest that male economists at top institutions benefit the most from non‐blind evaluations, followed by female economists (regardless of their institution).

Exploring the Potential of Big Data Analytics in Urban Epidemiology Control: A Comprehensive Study Using CiteSpace.

In recent years, there has been a growing amount of discussion on the use of big data to prevent and treat pandemics. The current research aimed to use CiteSpace (CS) visual analysis to uncover research and development trends, to help academics decide on future research and to create a framework for enterprises and organizations in order to plan for the growth of big data-based epidemic control. First, a total of 202 original papers were retrieved from Web of Science (WOS) using a complete list and analyzed using CS scientometric software. The CS parameters included the date range (from 2011 to 2022, a 1-year slice for co-authorship as well as for the co-accordance assessment), visualization (to show the fully integrated networks), specific selection criteria (the top 20 percent), node form (author, institution, region, reference cited, referred author, journal, and keywords), and pruning (pathfinder, slicing network). Lastly, the correlation of data was explored and the findings of the visualization analysis of big data pandemic control research were presented. According to the findings, "COVID-19 infection" was the hottest cluster with 31 references in 2020, while "Internet of things (IoT) platform and unified health algorithm" was the emerging research topic with 15 citations. "Influenza, internet, China, human mobility, and province" were the emerging keywords in the year 2021-2022 with strength of 1.61 to 1.2. The Chinese Academy of Sciences was the top institution, which collaborated with 15 other organizations. Qadri and Wilson were the top authors in this field. The Lancet journal accepted the most papers in this field, while the United States, China, and Europe accounted for the bulk of articles in this research. The research showed how big data may help us to better understand and control pandemics.

The underrepresentation of women in STEM disciplines in India: a secondary analysis

ABSTRACT Science, technology, engineering and mathematics (STEM) education and research are globally recognised as engines of growth and development and indicators of citizens’ well-being. Studies have continuously highlighted the unequal access and participation in STEM higher education based on class, caste, gender, disability and other markers of identity. This research paper investigates the underrepresentation of women in STEM at the Indian Institute of Technologies (IITs) in India. IITs are India’s top elite institutions that open window of opportunities to students across the world. The study uses the data available from the All India Survey of Higher Education (AISHE), the Council of Indian Institute of Technology and the websites of the IITs. The findings indicate a significant gap between males and females in faculty positions at IITs. Furthermore, the study finds that the underrepresentation of women faculty differs across the STEM disciplines at IITs in India. It needs more gender-just affirmative action policies such as intersectional reservation for women in STEM academic careers, funding, legal protection against harassment, and representation of women in various committees and leadership positions.

State of forest research in 2010s – a bibliographic study with special reference to Finland, Sweden and Austria

ABSTRACT Using bibliometric methods, this report analysed the volumes of global forest research and research collaboration between researchers, institutes and countries during the period 2010–2019. The keywords used in the bibliometric search resulted in a good match with the publication lists of three major Finnish forest research organisations. The final corpus of “forest” publications consisted of 355,000 articles, proceeding papers, reviews, books, book chapters and letters listed in the Web of Science database. During 2010–2019, the volume of Finnish publications in forest sciences have increased and the share of internationally collaborative papers has also grown. However, the international position of Finnish and Nordic forest research is slowly declining, owing to the modest growth in publishing, compared to fast-growing countries like China and Russia. When comparing Finnish and Swedish research organisations, those from Sweden were more internationally oriented. In both countries, the five top institutes produced more than three quarters of their country’s respective publications. Analyses based on bibliometric data used in this study reveal the status regarding publication output and trends. These analyses can provide objective evidence that is needed when developing research strategies and policies as well as allocating funding resources.

A bibliometric analysis of the role of microbiota in trauma.

Over the last several decades, the gut microbiota has been implicated in the formation and stabilization of health, as well as the development of disease. With basic and clinical experiments, scholars are gradually understanding the important role of gut microbiota in trauma, which may offer novel ideas of treatment for trauma patients. In this study, we purposed to summarize the current state and access future trends in gut microbiota and trauma research. We retrieved relevant documents and their published information from the Web of Science Core Collection (WoSCC). Bibliometrix package was responsible for the visualized analysis. Totally, 625 documents were collected and the number of annual publications kept increasing, especially from 2016. China published the most documents while the USA had the highest local citations. The University of Colorado and Food & Function are respectively the top productive institution and journal, as PLOS One is the most local cited journal. With the maximum number of articles and local citations, Deitch EA is supported to be the most contributive author. Combining visualized analysis of keywords and documents and literature reading, we recognized two key topics: bacteria translocation in trauma and gut microbiota's effect on inflammation in injury, especially in nervous system injury. The impact of gut microbiota on molecular and pathological mechanism of inflammation is the focus now. In addition, the experiments of novel therapies based on gut microbiota's impact on trauma are being carried out. We hope that this study can offer a birds-eye view of this field and promote the gradual improvement of it.

The Complexity of Online Patient Education Materials About Interventional Neuroradiology Procedures Published by Major Academic Institutions.

Introduction Health literacy is an independent predictor of population health status and is directly related to the readability of available patient education material. The National Institutes of Health (NIH) and the American Medical Association have recommended that patient education materials (PEMs) be written between a fourth- and a sixth-grade education level. The authors assessed the readability of online PEMs about neurointerventional procedures that have been published by several academic institutions across the US. Methods Online PEMs regarding five common neurointerventional procedures, including mechanical thrombectomy for large vessel occlusion, cerebral diagnostic angiography, carotid artery stenting, endovascular aneurysm embolization, and epidural steroid injection collected from the websites of 20 top institutions in Neurology and Neurosurgery. The materials were assessed via five readability scales and then were statistically analyzed and compared to non-institutional education websites (Wikipedia.com and WebMD.com). Results None of the PEMs were written at or below the NIH's recommended 6th-grade reading level. The average educational level required to comprehend the texts across all institutions, as assessed by the readability scales, was 10-11th grade level. Some materials required a college-level education or higher. Material from non-institutional websites had significantly lower readability scores compared to the 20 institutions. Conclusions Current PEMs related to neurointerventional procedures are not written at or below the NIH's recommended fourth- to sixth-grade education level. Given the complexity of those procedures, significant attention should be pointed toward an improvement in the available online materials.

Zinc status in public health: exploring emerging research trends through bibliometric analysis of the historical context from 1978 to 2022.

The current study aims to provide a roadmap for future research by analyzing the research structures and trends in scholarly publications related to the status of zinc in public health. Only journal articles published between 1978 and 2022 are included in the refined bibliographical outputs retrieved from the Web of Science (WoS) database. The first section announces findings based on WoS categories, such as discipline heterogeneity, times cited and publications over time, and citation reports. The second section then employs VoSViewer software for bibliometric analysis, which includes a thorough examination of co-authorship among researchers, organizations, and countries and a count of all bibliographic databases among documents. The final section discusses the research's weaknesses and strengths in zinc status, public health, and potential future directions; 7158 authors contributed to 1730 papers (including 339 with publications, more than three times). "Keen, C.L." is a researcher with the most publications and a better understanding of zinc status in public health. Meanwhile, the USA has been the epicenter of research on the status of zinc in public health due to the highest percentage of publications with the most citations and collaboration with the rest of the world, with the top institution being the University of California, Davis. Future research can be organized collaboratively based on hot topics from co-occurrence network mapping and bibliographic couplings to improve zinc status and protect public health.

A Scientometric Analysis of Construction Bidding Research Activities

Bidding is the process in which a contractor submits a tender to the owner of a construction project to undertake its execution. This enables companies to properly employ required contractors. This paper investigates the trends of research conducted on construction bidding from 1975 to 2022 through a scientometric analysis from different viewpoints. A total of 299 relevant articles published in 191 journals were collected from the Web of Science database and analyzed by HistCite and CiteSpace software. The top journals, articles, institutes, and authors that contributed to bidding studies were ranked. The trends of published articles and contributions from different countries on the subject were examined. Moreover, the co-occurrence network, strongest burst detection, trends of the top keywords, and cluster analysis were determined. This review creates an in-depth insight into the content, enabling researchers to understand the existing body of knowledge and to trace a practical guideline for future studies.

E-Learning Performance Evaluation in Medical Education-A Bibliometric and Visualization Analysis.

Performance evaluation is one of the most critical components in assuring the comprehensive development of e-learning in medical education (e-LMED). Although several studies evaluate performance in e-LMED, no study presently maps the rising scientific knowledge and evolutionary patterns that establish a solid background to investigate and quantify the efficacy of the evaluation of performance in e-LMED. Therefore, this study aims to quantify scientific productivity, identify the key terms and analyze the extent of research collaboration in this domain. We searched the SCOPUS database using search terms informed by the PICOS model, and a total of 315 studies published between 1991 and 2022 were retrieved. Performance analysis, science mapping, network analysis, and visualization were performed using R Bibliometrix, Biblioshiny, and VOSviewer packages. Findings reveal that authors are actively publishing and collaborating in this domain, which experienced a sporadic publication increase in 2021. Most of the top publications, collaborations, countries, institutions, and journals are produced in first-world countries. In addition, studies evaluating performance in e-LMED evaluated constructs such as efficacy, knowledge gain, student perception, confidence level, acceptability, feasibility, usability, and willingness to recommend e-learning, mainly using pre-tests and post-tests experimental design methods. This study can help researchers understand the existing landscape of performance evaluation in e-LMED and could be used as a background to investigate and quantify the efficacy of the evaluation of e-LMED.

Salary transparency and gender pay inequality: Evidence from Canadian universities

AbstractResearch AbstractWe examine whether salary transparency influences gender pays inequality in the context of Canadian universities by exploiting a policy change enacted in one Canadian province that required salary disclosure through a publicly searchable database, thus lowering the cost of monitoring the gender pay gap. We find that, on average, salary disclosure improves gender pay equality but institutions respond in different ways. Despite little media attention around gender equality at the time of the policy, institutions most likely to anticipate higher scrutiny, such as top ranked institutions, respond more aggressively to improve gender pay equality—both in terms of the magnitude and type of response. Combined, our findings suggest that the extent of change from salary transparency depends on the reduction in monitoring costs and organizational characteristics.Managerial AbstractSalary transparency has been implemented in various ways around the world as a strategy by firms and policy makers to reduce the gender pay gap. However, whether and how it can achieve this in practice is unclear. We examine a salary transparency policy that mandated disclosure to the public through an online database in one Canadian province by comparing the change in gender pay inequality in that province relative to the change in the gender pay gap in provinces without disclosure. We find that salary transparency improves average gender pay equality primarily within the most visible organizations that likely anticipate high levels of public scrutiny. Our findings imply that facilitating low‐cost public monitoring of gender inequalities can motivate organizations to enact change.

The top 100 most cited papers in insomnia: A bibliometric analysis.

The number of citations to a paper represents the weight of that work in a particular area of interest. Several highly cited papers are listed in the bibliometric analysis. This study aimed to identify and analyze the 100 most cited papers in insomnia research that might appeal to researchers and clinicians. We reviewed the Web of Science (WOS) Core Collection database to identify articles from 1985 to 24 March 2022. The R bibliometric package was used to further analyze citation counts, authors, year of publication, source journal, geographical origin, subject, article type, and level of evidence. Word co-occurrence in 100 articles was visualized using VOS viewer software. A total of 44,654 manuscripts were searched on the Web of Science. Between 2001 and 2021, the top 100 influential manuscripts were published, with a total citation frequency of 38,463. The top countries and institutions contributing to the field were the U.S. and Duke University. Morin C.M. was the most productive author, ranking first in citations. Sleep had the highest number of manuscripts published in the top 100 (n = 31), followed by Sleep Medicine Reviews (n = 9). The most cited manuscript (Bastien et al., Sleep Medicine, 2001; 3,384 citations) reported clinical validation of the Insomnia Severity Index (ISI) as a brief screening indicator for insomnia and as an outcome indicator for treatment studies. Co-occurrence analyses suggest that psychiatric disorders combined with insomnia and cognitive behavioral therapy remain future research trends. This study provides a detailed list of the most cited articles on insomnia. The analysis provides researchers and clinicians with a detailed overview of the most cited papers on insomnia over the past two decades. Notably, COVID-19, anxiety, depression, CBT, and sleep microstructure are potential areas of focus for future research.

Efficient Market Hypothesis, Covid-19 and Accumulated Return of Common Shares – Event Study of The Top Chinese Financial Institutions by Market Value Criterion

This work analyzed, via event study methodology, the impact of the disclosure of two relevant decrees in 2020 (1. quarantine in the city of Wuhan by the Chinese government on January 22; 2. COVID-19 pandemic by the WHO on March 11 ) in the cumulative return of the common shares of the four largest Chinese banks by the market value criterion. Event 1 presented p-values greater than 0.05 in the estimation window, showing no statistically significant impact on the behavior of the abnormal cumulative return of selected common shares, characterizing informational inefficiency. For event 2, the opposite is in the days close to the disclosure (p-values lower than 0.05) under the expected behavior of price adjustment in efficient markets.

Research hotspots and trends of artificial intelligence in rheumatoid arthritis: A bibliometric and visualized study.

Artificial intelligence (AI) applications on rheumatoid arthritis (RA) are becoming increasingly popular. In this bibliometric study, we aimed to analyze the characteristics of publications relevant to the research of AI in RA, thereby developing a thorough overview of this research topic. Web of Science was used to retrieve publications on the application of AI in RA from 2003 to 2022. Bibliometric analysis and visualization were performed using Microsoft Excel (2019), R software (4.2.2) and VOSviewer (1.6.18). The overall distribution of yearly outputs, leading countries, top institutions and authors, active journals, co-cited references and keywords were analyzed. A total of 859 relevant articles were identified in the Web of Science with an increasing trend. USA and China were the leading countries in this field, accounting for 71.59% of publications in total. Harvard University was the most influential institution. Arthritis Research & Therapy was the most active journal. Primary topics in this field focused on estimating the risk of developing RA, diagnosing RA using sensor, clinical, imaging and omics data, identifying the phenotype of RA patients using electronic health records, predicting treatment response, tracking the progression of the disease and predicting prognosis and developing new drugs. Machine learning and deep learning algorithms were the recent research hotspots and trends in this field. AI has potential applications in various fields of RA, including the risk assessment, screening, early diagnosis, monitoring, prognosis determination, achieving optimal therapeutic outcomes and new drug development for RA patients. Incorporating machine learning and deep learning algorithms into real-world clinical practice will be a future research hotspot and trend for AI in RA. Extensive collaboration to improve model maturity and robustness will be a critical step in the advancement of AI in healthcare.

Traumatic spinal cord and spinal column injuries: A bibliometric analysis of the 200 most cited articles.

Bibliometric analysis. This study aimed to highlight the 200 most influential articles related to traumatic spinal cord and spinal column injuries and provide an insight of past and current global trends in spinal trauma research. The Web of Science database was used to identify the top 200 most cited articles on the topic of traumatic spinal cord injury (SCI) and spinal column injuries between using a prespecified algorithm. The articles were manually reviewed; bibliometrics were collected on title, first and corresponding authors' country, institution, journal, publication year, and citation data. The search string yielded 30,551 articles during 1977-2019. The average time from the publication was 19.5 years. A total of 1356 authors contributed to 67 different journals, the top 200 most cited articles amassing a total of 88,115 citations and an average 440.6 citations. The United States of America (USA) contributed the most with 110 articles; the top institution was the University of Toronto with 34 publications. Most studies focused on basic science research on SCI. Keyword analysis revealed the most commonly used keywords: SCI, inflammation, apoptosis, incidence/prevalence, and regeneration; four word-clusters were identified. Institutions from the USA and Canada collaborated the most and two major and two minor institutional collaboration subnetworks were identified. Co-citation analysis detected three main clusters of authors. This overview of the most cited articles on traumatic spinal cord and spinal column injuries provides insight into the international spinal trauma community and the terrain in this field, potentially acting as a springboard for further collaboration development.

How organizations can use carbon emissions data to achieve carbon neutrality

To help China achieve the "dual carbon" goal at an early date and mitigate global climate change brought about by the greenhouse effect, people are increasingly interested in topics such as carbon neutrality, sustainability, and energy, which has led to apparent changes in many cross-disciplinary disciplines. While upgrading the organization industry, people often neglect to implement measures from the energy side. The study is based on 492 articles retrieved from the Web of Science (WoS) database between 1900 and 2023, and conducted comprehensive data and visual analysis of keywords such as "carbon neutrality", "carbon emissions", and "carbon footprint". Bibliometrics show that publications have proliferated since 2008 and also involve multiple disciplines, such as management, sustainable development studies, public health, energy, and other related major fields. At the same time, research institutions in China, the United Kingdom, and Singapore have excelled in such disciplines. The authors use big data analysis technology and visualization software to comprehensively analyze the research results in the form of charts from the aspects of literature publication and citation trends, top research institutions, and keyword clustering, which provides research ideas for research organizations to use carbon emission data to achieve carbon neutrality.