Research Productivity from Asia in Parkinson’s Disease

2019 ◽  
Vol 9 (2) ◽  
pp. 33-35
Author(s):  
Dimple Gopi ◽  
B. Asha
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Open Access ◽  
Impact Factor ◽  
Research Productivity ◽  
Web Of Science ◽  
Asian Countries ◽  
Microsoft Excel ◽  
Limited Access ◽  
Isi Web Of Science

The paper analyses the literature produced in Parkinson’s research during the last decade (2008-2017) from the Asian countries using scientometric methods. The data was taken from the ISI Web of Science. Using Microsoft excel the data was analyzed. There was no correlation between productivity and impact factor. Though China is found to be ahead of all Asian countries in productivity, its impact factor is less than Japan and Israel. Open access articles were cited more than limited access articles.

scholarly journals Analysis of Retractions from Hospitals in Mainland China from 2017-2019

2020 ◽  
Author(s):  
Tianye Zhao ◽  
Tiancong Dai ◽  
Zhijun Lun ◽  
Yanli Gao
Keyword(s):  
Open Access ◽  
Impact Factor ◽  
Web Of Science ◽  
Research Misconduct ◽  
Mainland China ◽  
High Impact ◽  
Third Parties ◽  
High Impact Factor ◽  
Data Manipulation

Abstract Objective: The aim of this study is to analyze the features of retractions from hospitals in mainland China, and to discuss the causes of research misconduct by Chinese doctors.Research Methods: PubMed, Web of Science, and Retraction Watch Database were searched to collect eligible records and to extract characteristics of the included entries, including publishers and Open Access status of the journals involved, ORCID, PubPeer comments before the retraction, whether there are authors from Grade A, Third-class hospitals, and whether there are response or requirements from authors.Results: 521 retractions were included. Retractions were found primarily from authors of grade A, third-class hospitals, a limited regions, and published in journals with medium and high impact factor. The main reasons for retractions were Data Manipulation/Fabrication/Fraud(27.1%), Error by Author(19.9%), Plagiarism(16.7%), Self-Plagiarism(9.1%), Fake Peer Review(7.6%) and Forged Authorship(6.3%). Most of the retracted publications have neither ORCID nor PubPeer comments before their retraction.Conclusion: This is the first report focus on the retractions from hospitals in mainland China. The large number of retractions from Chinese hospitals in recent years is worrying. The results suggests that some retractions are related to third-parties. Some features of retractions are centralized, and it is difficult to evaluate the role of ORCID and PubPeer in the retractions during this period.

scholarly journals Impacto dos sintomas de ansiedade na qualidade de vida na doença de Parkinson: uma revisão sistemática

2019 ◽  
Vol 68 (1) ◽  
pp. 48-55
Author(s):  
Stephanie Martins de Faria ◽  
Madson Alan Maximiano-Barreto ◽  
Daiene de Morais ◽  
Marcos Hortes Nisihara Chagas
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Web Of Science

RESUMO Objetivo: Revisar estudos relacionados ao impacto da ansiedade na qualidade de vida em pacientes com doença de Parkinson. Métodos: Trata-se de uma revisão sistemática realizada nos bancos de dados PubMed, Scopus, Web of Science e PsycINFO, com os descritores: “anxiety”, “Parkinson's disease” e “quality of life”. Foram selecionados 20 artigos publicados em inglês e sem limite de tempo. Resultado: A maioria dos estudos demonstrou correlação direta entre ansiedade e qualidade de vida em indivíduos com doença de Parkinson. Apenas dois estudos não encontraram essa associação. A presença de sintomas de ansiedade parece estar relacionada com a gravidade dos sintomas motores, sexo feminino e idade mais jovem, levando a um impacto maior na qualidade de vida. Conclusão: Os artigos analisados mostraram que a ansiedade tem impacto negativo sobre a qualidade de vida de indivíduos com doença de Parkinson.

The scientific progress and prospects of artificial intelligence in digestive endoscopy: a comprehensive bibliometric analysis (Preprint)

2021 ◽  
Author(s):  
Peiling Gan ◽  
Shu Huang ◽  
Xiao Pan ◽  
Shali Tan ◽  
Chunyu Zhong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Gastrointestinal Endoscopy ◽  
Web Of Science ◽  
Research Output ◽  
Scientific Progress ◽  
Digestive Endoscopy ◽  
Asian Countries ◽  
Microsoft Excel ◽  
Number Of Publications ◽  
Research Frontiers

UNSTRUCTURED Abstract Background: A growing number of studies have reported artificial intelligence (AI) has been developed for diagnosis and outcome prediction in clinical practice. Furthermore, AI in digestive endoscopy has attracted much attention, which has shown promising and stimulating results. Our study aimed to visualize the articles to determine the trends and hotspots of AI in digestive endoscopy. Methods: Publications on AI in digestive endoscopy research were retrieved from the Web of Science Core Collection (WoSCC) on March 14, 2021. Microsoft Excel 2016, VOSviewer 1.6.11.0, and CiteSpace V were used to assess and plot the research output. Results: The analytic research was based on original articles and reviews. A total of 121 records of AI research in digestive endoscopy published from 2017 to 2021 were retrieved. The citation number for these articles ranged from 0 to 142. The number of published articles increased 68-fold just from 2017 to 2020. All publications were distributed among 31 countries and 296 institutions. Asian countries had the most publications in this field (80.17%). Among the 31 countries, China and Japan were consistently the leading driving force and contributed mostly (31.40% and 28.93%, respectively), with a strong academic reputation in this area. Tada Tomohiro distributed the most related articles (13.22%) and was cited the most frequently. Gastrointestinal endoscopy published the largest number of publications (14.88%), and 4 of the top 10 cited references were in this leading journal. “Barrett’s esophagus” was the leading research hotspot. The keywords “classification,” “polyps,” “risk,” “histology,” and “resection” appeared most recently as research frontiers. Conclusions: Our study provides a systematic elaboration for researchers to obtain a good comprehension of AI development in digestive endoscopy.

scholarly journals Serum Urate and the Risk of Parkinson's Disease: Results From a Meta-Analysis

2013 ◽  
Vol 40 (1) ◽  
pp. 73-79 ◽  
Author(s):  
Chunhong Shen ◽  
Yi Guo ◽  
Wei Luo ◽  
Chen Lin ◽  
Meiping Ding
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Web Of Science ◽  
Meta Analysis ◽  
Serum Urate ◽  
High Serum ◽  
Protective Effects ◽  
Inclusion Criteria ◽  
Serum Urate Level

Objective:Serum urate may exert protective effects against Parkinson's disease (PD) through its antioxidant capacities. In this article, we examine the hypothesis that high serum urate levels are associated with lower risk of PD.Methods:We searched NCBI (PubMed), ISI Web of Science and EMBASE for studies that reported the risk of PD associated with serum urate. Fixed or random effects meta-analysis was used to pool results across studies, and further analysis was used to assess the effects by gender.Results:Six studies met the inclusion criteria involving a total of 33 185 participants. Overall, we found a 33% reduction in PD incidence among persons with high serum urate level (relative risk [RR]=0.67; 95% confidence interval [CI], 0.50-0.91). Subgroup analysis was performed with 20 641 men and 12 544 women included, indicating statistically significant protective effects of serum urate in men (RR=0.60; 95% CI, 0.40-0.90) but not in women. A dose-response trend of serum urate to reduce PD risk was also observed involving 11 795 participants (RR=0.77; 95% CI, 0.68-0.88). Additionally, high serum urate levels seemed to slow the clinical decline of PD patients (RR=0.56; 95% CI, 0.43-0.72).Conclusions:In light of these findings, our study confirms previous findings of a robust association between high serum urate level and PD risk, especially in men. It also suggests that long-term exposure to high serum urate may be linked to the delay of PD progression, however more well-designed investigations are needed.

Neuroimaging of depression in Parkinson's disease: a review

2013 ◽  
Vol 25 (12) ◽  
pp. 1953-1961 ◽  
Author(s):  
Marcos Hortes N. Chagas ◽  
Ila M.P. Linares ◽  
Giovana Jorge Garcia ◽  
Jaime E.C. Hallak ◽  
Vitor Tumas ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Depressive Symptoms ◽  
Basal Ganglia ◽  
Web Of Science ◽  
Brain Regions ◽  
Neurodegenerative Process ◽  
Current Review ◽  
Literature Searches ◽  
The Impact

ABSTRACTBackground:Depression is the most common psychiatric manifestation in patients with Parkinson's disease (PD). In addition, depressive symptoms may be considered to be a prodromal manifestation of PD. In recent years, the association between PD and depression has been the focus of neuroimaging studies using functional and structural techniques.Methods:The aim of this study was to review the main neuroimaging studies assessing the comorbidity between depression and PD. Literature searches were conducted to find the major neuroimaging studies that consider primarily the comorbidity between depression and PD using the indices Web of Science and Lilacs.Results:In total, 296 papers were identified, and 18 of these studies were selected for the current review. The principal neuroimaging technique used was SPECT. The structural neuroimaging studies that have evaluated the impact of current or previous bouts of depression on the neurodegenerative process of PD are scarce and inclusive. The instruments that were used to evaluate depression differed among the studies. Several brain regions appear to be involved in depression, particularly the limbic system and the basal ganglia. In addition, the serotonergic, dopaminergic, and noradrenergic systems also appear to be associated with depressive symptoms in PD.Conclusion:Several brain regions and neurotransmitter systems are involved in depression in PD; however, the variety of criteria used to evaluate depressive symptoms precludes more specific conclusions.

scholarly journals Modeling and Prediction of the Impact Factor of Journals Using Open-Access Databases

2020 ◽  
Vol 49 (5) ◽  
pp. 35-58
Author(s):  
Matthias Templ
Keyword(s):  
Open Access ◽  
Impact Factor ◽  
Journal Impact Factor ◽  
Web Of Science ◽  
Functional Relationships ◽  
Modeling And Prediction ◽  
Novel Approach ◽  
The Impact ◽  
Journal Impact ◽  
The Web

This article is motivated by the work as editor-in-chief of the Austrian Journal of Statistics and contains detailed analyses about the impact of the Austrian Journal of Statistics. The impact of a journal is typically expressed by journal metrics indicators. One of the important ones, the journal impact factor is calculated from the Web of Science (WoS) database by Clarivate Analytics. It is known that newly established journals or journals without membership in big publishers often face difficulties to be included, e.g., in the Science Citation Index (SCI) and thus they do not receive a WoS journal impact factor, as it is the case for example, for the Austrian Journal of Statistics. In this study, a novel approach is pursued modeling and predicting the WoS impact factor of journals using open access or partly open-access databases, like Google Scholar, ResearchGate, and Scopus. I hypothesize a functional linear dependency between citation counts in these databases and the journal impact factor. These functional relationships enable the development of a model that may allow estimating the impact factor for new, small, and independent journals not listed in SCI. However, only good results could be achieved with robust linear regression and well-chosen models. In addition, this study demonstrates that the WoS impact factor of SCI listed journals can be successfully estimated without using the Web of Science database and therefore the dependency of researchers and institutions to this popular database can be minimized. These results suggest that the statistical model developed here can be well applied to predict the WoS impact factor using alternative open-access databases. 

scholarly journals Exploring the relationship between journal indexing and article processing charges of journals published by MDPI, the Multidisciplinary Digital Publishing Institute

2020 ◽  
Vol 46 ◽  
Author(s):  
Hilary Okagbue ◽  
Jaime Teixeira da Silva ◽  
Timothy Anake
Keyword(s):  
Open Access ◽  
Impact Factor ◽  
Business Model ◽  
Web Of Science ◽  
Digital Publishing ◽  
Article Processing Charges ◽  
The Relationship

The Multidisciplinary Digital Publishing Institute (MDPI) is a prominent open access (OA) publisher that uses article processing charges (APCs) as its business model. Our objective was to determine the association between the APCs levied by MDPI journals and 1) their inclusion in Scopus and Web of Science databases or 2) their stature, as represented by their CiteScore (Elsevier&rsquo;s Scopus) and Impact Factor (awarded by Clarivate Analytics). Among the 227 journals published by MDPI, 51 had both IF and CiteScore; 107, only a CiteScore; and 84, neither IF nor CiteScore. The charges levied by the journals varied widely, from 0 to CHF 2000 (Swiss francs), the most frequent figure (159 journals) being CHF 1000, or about &euro;930. The amount of APCs was found to be correlated to IF (R&sup2; = 0.64; p <0.001; 107 journals) and also to CiteScore (R&sup2; = 0.619; p <0.001; 53 journals). The charges levied by journals that had both IF and CiteScore were significantly higher than those charged by journals with neither IF nor CiteScore (p <0.05). The charges were also correlated to the age of the journal: the more recently launched journals charged less than the older journals did.

scholarly journals A organização do conhecimento: Estudo bibliométrico na base de dados ISI Web of Knowledge

2013 ◽  
pp. 20-32
Author(s):  
Cláudia Daniele de Souza
Keyword(s):  
Web Of Science ◽  
Vantage Point ◽  
Microsoft Excel ◽  
Isi Web Of Science ◽  
Web Of Knowledge

La Organización del Conocimiento es una área de múltiples aplicaciones y muy tradicional en la investigación/enseñanza en Ciencia de la Información. Gran parte de la literatura trata del proceso, de las actividades y de los instrumentos especialmente desarrollados en el tratamiento de documentos para almacenamiento, diseminación, recuperación y uso en sistemas y servicios de información. El presente artículo presenta un análisis bibliométrico sobre la actividad científica en el campo de la Organización del Conocimiento, utilizándose publicaciones de la base de datos ISI Web of Science – WoS. La importancia del estudio bibliométrico es sostenida por la necesidad de conocerse y evaluar la productividad y mesurar las investigaciones y los autores, permitiendo la detección de modelos y patrones sobre la Organización del Conocimiento. Los procedimientos metodológicos son del tipo exploratório-descriptivo y algunas etapas fueron establecidas para mejor desdoblamiento: revisión bibliográfica para fundamentar la investigación, identificación de la base de datos, elaboración de la expresión de búsqueda, colecta de datos, organización y tratamiento bibliométrico con el software Vantage Point, y finalmente representaciones gráficas con el auxilio del Microsoft Excel. De entre los resultados de la investigación, se destaca que en los últimos 20 años hay un crecimiento constante de las publicaciones científicas sobre Organización del Conocimiento y que el país que lidera el ranking de los que más publican sobre el tema es Canadá, quedándose Brasil en octavo lugar.

scholarly journals Diagnostic validity of biomarkers in Parkinson’s Disease: systematic review and meta-analysis

2018 ◽  
Vol 71 (6) ◽  
pp. 3074-3083
Author(s):  
Maria Fernanda Baeta Neves Alonso da Costa ◽  
Emilene Reisdorfer ◽  
Silvana Silveira Kempfer ◽  
Gisele Cristina Manfrini Fernandes ◽  
André Luís Porporatti ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cerebrospinal Fluid ◽  
Web Of Science ◽  
Assessment Tool ◽  
Meta Analysis ◽  
Quality Assessment Tool ◽  
Diagnostic Biomarkers ◽  
Gait Abnormality ◽  
Review Manager

ABSTRACT Objective: To identify biomarkers for Parkinson’s disease, cerebrospinal fluid, blood, saliva, and urine. Method: The studies were collected from the Cochrane, LILACS, PubMed, SCOPUS, WEB OF SCIENCE, OpenGrey, ProQuest and Google Scholar databases starting from May 3, 2016 and updated on March 20, 2017. Twenty-two studies were evaluated, by the Quality Assessment Tool for Diagnostic Accuracy Studies and Review Manager 5.3. Results: Evidence shows that serum antibodies can be used as highly specific and accurate biomarkers for the diagnosis of Parkinson’s disease at the outset. Biomarkers in the cerebrospinal fluid are related to increased motor severity, postural instability, gait abnormality, and cognitive impairment. Conclusion: Serum and cerebrospinal antibodies can be used as diagnostic biomarkers at the onset of the disease.

scholarly journals Do Open-Access Articles Have a Greater Research Impact?

2004 ◽  
Vol 65 (5) ◽  
pp. 372-382 ◽  
Author(s):  
Kristin Antelman
Keyword(s):  
Open Access ◽  
Political Science ◽  
Web Of Science ◽  
Research Impact ◽  
The Internet ◽  
Isi Web Of Science ◽  
Electronic Engineering ◽  
And Mathematics

Although many authors believe that their work has a greater research impact if it is freely available, studies to demonstrate that impact are few. This study looks at articles in four disciplines at varying stages of adoption of open access—philosophy, political science, electrical and electronic engineering and mathematics—to see whether they have a greater impact as measured by citations in the ISI Web of Science database when their authors make them freely available on the Internet. The finding is that, across all four disciplines, freely available articles do have a greater research impact. Shedding light on this category of open access reveals that scholars in diverse disciplines are adopting open-access practices and being rewarded for it.

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