Aims: The purpose of this study is to evaluate an Altmetric analysis of the 50 most cited refractive surgery articles in Ophthalmology journals and to compare them with traditional metrics. Methods: The term "refractive surgery" was searched, using a time filter between 2010-2020 in the Web of Science core collection database. The 50 most cited articles between 2010 and 2020 were recorded. Descriptive statistics were performed. The Spearman correlation test was used to evaluate the correlation between traditional metrics and Altmetrics. Results: The Altmetric scores of the top 50 articles ranged from 0 to 25, and the median Altmetric score was 4. The citation numbers of the 50 articles ranged from 83 to 523, and the median citation number was 119.5. The most cited article topic was "Toric Intraocular Lens"; the topics with the highest Altmetric scores were "Toric Intraocular Lens" and "Trifocal Intraocular Lens". There was no significant correlation between Altmetric scores and number of citations. There was a weak correlation between Altmetric scores and the average citation per year. Conclusion: The Altmetric score is insufficient, compared with traditional metrics, to show the scientific value of articles on refractive surgery. Altmetrics can be used to supplement traditional metrics.
- MeSH
- impakt faktor časopisů MeSH
- neurologie MeSH
- periodika jako téma * MeSH
- Publikační typ
- úvodníky MeSH
OBJECTIVE: The EU global health priorities focus on ensuring better health and well-being for people throughout their lives as well as on reducing inequalities between countries. The COVID-19 pandemic can be understood as a set of several events that directly or indirectly affected the mental health of people around the world. The aim of this study was to identify the main groupings of co-occurrence of all keywords related to the main keywords "COVID-19" and "mental health" acquired through search in the Scopus database using the VOSviewer tool. METHODS: Descriptive study based on a bibliometric analysis of the occurrence of the keywords "COVID-19" and "mental health" in scientific articles retrieved from the Scopus database on 31 January 2023 covering period from 2020 to 2022 plus January 2023 in the field of medical research. The result was 1,625 articles extracted into a csv file and inserted into VOSviewer tool. By counting the number of co-occurrences of keywords using the VOSviewer, the final result was 1,211 keywords. Out of the 1,211 keywords 44 different keywords with the total power link strength of association with the keywords "COVID-19" and "mental health" were selected. RESULTS: The presence of high rates and power links of depression and anxiety after the pandemic situation has been confirmed by visualization of keywords in scientific articles retrieved from Scopus database. The keywords "social support", "social isolation", "perceived social support", and "dementia" inform us about potential areas of research and trigger discussion about the impact of the recent pandemic on mental health. Another warning was the occurrence of the keyword "obesity" and its association with health consequences for individuals and society. Among all countries, the United States, the United Kingdom and China contributed the most with scientific publications focusing on pandemic and mental health. CONCLUSION: The visualization of the keywords "COVID-19" and "mental health", specifically "depression" and "anxiety" create a new area for further research as well as establishing preventive measures leading to protection from mental health damage in the events of possible dangers of this type.
- MeSH
- bibliometrie * MeSH
- COVID-19 * epidemiologie psychologie MeSH
- deprese epidemiologie MeSH
- duševní zdraví * statistika a číselné údaje MeSH
- lidé MeSH
- pandemie MeSH
- SARS-CoV-2 * MeSH
- úzkost epidemiologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Zajištění bezpečnosti na pracovišti je prvořadé pro organizace působící ve zdravotnictví nebo průmyslu, protože snižuje riziko nehod, zranění a nemocí, které mohou nastat při činnostech souvisejících s prací. Tato studie využívá bibliometrické metody k analýze a hodnocení publikované literatury o bezpečnosti na pracovišti, identifikaci hlavních témat, autorů a publikací v oboru a hodnocení dopadu a vlivu výzkumu v této oblasti. Výzkum využívá datové sady ze Scopusu a Web of Science (WoS). K analý ze datových souborů byly použity softwary ScientoPy a VOSviewer. Zjištění naznačují stálý nárůst literatury o bezpečnosti na pracovišti od sedmdesátých let 20. století. V roce 2019 bylo zdokumentováno značné množství publikací (537) napříč oběma databázemi. Nejvyššího hodnocení dosáhl předmět „Veřejné, environmentální a pracovní zdraví“ s 1 669 publikacemi. Pět hlav ních klíčových slov autorů spojených s tímto tématem jsou „bezpečnost a ochrana zdraví při práci“, „bezpečnost a ochrana“, „bez pečnost“, „bezpečnost práce“ a „ochrana zdraví při práci“. Termín „COVID-19“ si v poslední době získal významnou pozornost, zejména v letech 2021 a 2022. Bibliometrická analýza ukazuje, že výzkum bezpečnosti na pracovišti je konzistentním a rostoucím tématem vědeckého zájmu. Zjištění mohou být vodítkem pro budoucí výzkumné podniky, rozhodovací procesy při formulování politiky a praktická opatření zaměřená na zvýšení bezpečnosti práce a zachování obecného a pracovního blahobytu.
Ensuring workplace safety is paramount for organisations operating in the health or industrial sectors, as it mitigates the risk of accidents, injuries, and illnesses that may arise during job-related activities. This study employs bibliometric methods to analyse and evaluate published literature on workplace safety, identifying major themes, authors, and publications in the field and assessing the impact and influence of research in this area. The investigation obtains datasets from Scopus and Web of Science (WoS). The ScientoPy and VOSviewer software were utilised to analyse the datasets. The findings indicate a steady rise in the literature on workplace safety since the 1970s. In 2019, a notable quantity of publications amounting to 537 across both databases was documented. The subject of "Public, Environmental & Occupational Health" has achieved the highest ranking with 1,669 publications. The top five author keywords associated with this subject are "occupational health and safety", "health and safety", "safety", "occupational safety", and "occupational health". The term "COVID-19" has garnered significant attention recently, particularly in 2021 and 2022. The bibliometric analysis indicates that workplace safety research has been a consistent and growing topic of scholarly interest. The findings can guide future research undertakings, decision-making processes in policy formulation, and practical measures aimed at augmenting occupational safety and preserving workers' well-being and general welfare.
- MeSH
- bibliometrie MeSH
- COVID-19 MeSH
- hygiena práce * MeSH
- lidé MeSH
- Check Tag
- lidé MeSH
- MeSH
- gynekologie MeSH
- impakt faktor časopisů * MeSH
- periodika jako téma * MeSH
- Publikační typ
- úvodníky MeSH
Infection in apple leaves is typically brought on by unanticipated weather conditions such as rain, hailstorms, draughts, and fog. As a direct consequence of this, the farmers suffer a significant loss of productivity. It is essential to be able to identify apple leaf diseases in advance in order to prevent the occurrence of this disease and minimise losses to productivity caused by it. The research offers a bibliometric analysis of the effectiveness of artificial intelligence in diagnosing diseases affecting apple leaves. The study provides a bibliometric evaluation of apple leaf disease detection using artificial intelligence. Through an analysis of broad current developments, publication and citation structures, ownership and cooperation patterns, bibliographic coupling, productivity patterns, and other characteristics, this scientometric study seeks to discover apple diseases. Nevertheless, numerous exploratory, conceptual, and empirical studies have concentrated on the identification of apple illnesses. However, given that disease detection is not confined to a single field of study, there have been very few attempts to create an extensive science map of transdisciplinary studies. In bibliometric assessments, it is important to take into account the growing amount of research on this subject. The study synthesises knowledge structures to determine the trend in the research topic. A scientometric analysis was performed on a sample of 214 documents in the subject of identifying apple leaf disease using a scientific search technique on the Scopus database for the years 2011-2022. In order to conduct the study, the Bibliometrix suite's VOSviewer and the web-based Biblioshiny software were also utilised. Important journals, authors, nations, articles, and subjects were chosen using the automated workflow of the software. Furthermore, citation and co-citation checks were performed along with social network analysis. In addition to the intellectual and social organisation of the meadow, this investigation reveals the conceptual structure of the area. It contributes to the body of literature by giving academics and practitioners a strong conceptual framework on which to base their search for solutions and by making perceptive recommendations for potential future research areas.
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- bibliometrie MeSH
- databáze faktografické MeSH
- Fabaceae * MeSH
- lidé MeSH
- Malus * MeSH
- software MeSH
- umělá inteligence MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- MeSH
- impakt faktor časopisů MeSH
- internet MeSH
- lidé MeSH
- neurologie MeSH
- periodika jako téma * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- úvodníky MeSH
PURPOSE OF THE STUDY The purpose of this study was to identify and analyze the current most cited top-100 articles in shoulder arthroscopy literature. MATERIAL AND METHODS This retrospective analysis obtained bibliometric information from the Web of Science (WoS) database and analyzed the data via VOSviewer through software package. RESULTS The citation count of the most-cited articles varied from 122 to 923 on WoS. Altogether, the top 100 articles were cited 19,726 times; the average number of citations among the articles was 197.26. According to an abstract analysis, the most frequent terms were rotator cuff tear, tear, instability, and pain. A total of 73 of the top-100 cited articles were published between 2000-2014, while the oldest article was published in 1986. The most productive year was in 2007 (15 publications), and the most productive countries were the United States of America (63 publications) and France (15 publications). CONCLUSIONS Shoulder arthroscopy has been increasingly performed as an outpatient procedure in recent years. Our study may provide insights into trending topics in shoulder arthroscopy, the qualities which make an article relevant to global peers in the specialty, and may also serve to inspire relevant future articles. Clinical Relevance: The most cited top 100 articles in shoulder arthroscopy may give some insights on what qualities make an article relevant to global peers in the specialty and also inspire further relevant research in the future. Key words: arthroscopy, shoulder arthroscopy, bibliometric study, the most cited articles.
- MeSH
- artroskopie * MeSH
- bibliometrie MeSH
- lidé MeSH
- publikace MeSH
- rameno * MeSH
- retrospektivní studie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Spojené státy americké MeSH
